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The relevance of Artificial Neural Network with respect to human brain

Artificial Neural Networks are a type of neural networks pretty much like the human brain. This kind of a system has the capability to perform complex mathematical computations and it usually consists of 3 layers, they are input mode, hidden mode and the output mode. The input usually happens through nodes. The nodes are referred as neurons in case of artificial neural network. The first layer of an artificial neural network is referred as an input layer which is responsible for all the input data set, then this data set is further transferred towards the hidden layer. If a neural network contains more than one hidden layers then it is referred as a deep neural network. And the final layer then comes now is the output layer through which the whole data is processed.

The main real world application of artificial neural network is to solve complex real world problems. Some of the best references for Artificial Neural Networks are Google Maps, Google Images and voice search algorithms used in platforms like Alexa. Google uses neural network capability to improve its listing in Google places and many other search queries.

To read more about Artificial Neural Network: 

 An Artificial Neural Network has the following capabilities:

 1 Feature Extraction: This feature is basically used in pattern matching and image recognition.

2 Categorization: In this case the ideas and the objects are recognized, understood and interpreted.

3 Association: This feature is used for pattern uncovering and matching the co-relations in the data set.

4 Optimization: This feature is basically used for analytical optimization for designing algorithms and writing proofs.

5 Generalization: This is a process of deploying the data the model that is completely trained into new data sets.

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Data Science Course in Chennai

Data Science starts from R Programming and Python coupled with analytics in the platforms like tableau. Along with this Data Science involves both data visualization and creating new machine learning algorithms so as to solve the real-world challenges. Data Science is one among the hottest professions in the world right now. In some of the top IT hubs in our country like Chennai, the demand for professionals in the domains of Data Science and Data Analytics has surpassed over the past few years. As a result of which a lot of various data science course in chennai are available right now.  

Data Scientists are responsible for analyzing all the input data we are getting in and analyzing those data for many useful business insights. By the end of the year 2020, the demand for data science professionals is going to increase by 28 %.As a result of which a lot of data science tutorial are available in the market right now. Data Science is the combination of both the hard and the soft skills. These hard skills may include python, SQL, R using python, deep learning, machine learning and data visualization. So one can very easily upgrade their skills and career by learning data science.

[naveen167-posts-blog]

 Data Science is one among the hottest professions in the world right now. In some of the top IT hubs in our country like Chennai, the demand for professionals in the domains of Data Science and Data Analytics has surpassed over the past few years. As a result of which a lot of various data science course in chennai are available right now.  

Data Scientists are responsible for analyzing all the input data we are getting in and analyzing those data for many useful business insights. By the end of the year 2020, the demand for data science professionals is going to increase by 28 %.As a result of which a lot of data science tutorial are available in the market right now. Data Science is the combination of both the hard and the soft skills. These hard skills may include python, SQL, R using python, deep learning, machine learning and data visualization. So one can very easily upgrade their skills and career by learning data science.

[naveen167-posts-blog]

Importance of a certification in Artificial Intelligence

Artificial Intelligence is going to bring the next big revolution in the technology industry. From Google’s Driverless cars to Amazon Go, AI has captured everything on its way. Basically the use of AI is to automate every repetitive tasks which really has a very high-level of predictivity.  Artificial Intelligence is going to be the future of everything because here the scope of error is very low and the precision is very high.

The demand for professionals with these AI skills is increasing year by year and one among the most amazing thing is that here the demand outweighs the supply when it comes to the technologies like machine learning and artificial intelligence.  The one among huge demand for this particular skill is because this technology can be used to develop intelligent algorithms which can further be deployed to solve the real world challenges. As a result of which the demand for Artificial Intelligence Certification has increased immensely over the past few years and this requirement is further going to increase exponentially with the increase in automation.

 Artificial Intelligence involves the following skills and functions:

1 Cognitive Computing

2 Computer Vision

3 Machine Learning

4 Neural Networks

5 Deep Learning

6 Natural Language Processing

 Advantages of AI: -

It is kind of complex in nature as its mixture of computer science and mathematical and other

1-Error reduction: - Ai helps in reducing the error and chance of reaching the accuracy with greater degree of precision. Intelligent robots are fed with information and are send to explored space. Since they are machines with metal bodies, they are more resistant and have a greater ability to endure the space and hostile atmosphere. They are created and acclimatized in such a way that they6 cannot be modified or get disfigured or breakdown in hostile environment.

2-Difficult exploration: - Artificial Intelligence and science of robotics can put to use in mining and other fuel exploration processes. Not only that, these complex machines can be used for exploring the ocean floor and hence overcome human limitation. Due to programming robots can work more laborious and hard work than human.

3-Digital assistance- Highly applications like avatar which is replica of digital assistance who can actually interact with user, thus saving the need of human resources.

[naveen167-posts-blog]

Machine Learning Course in Chennai

The metropolitan city like Chennai has a lot of job opportunities and growth when it comes to domains machine learning and artificial intelligence. Since it has a huge number of IT parks in Asia. As a result of which statistical research and analysis has always been a vital part of every business organization. Therefore there are ample number of job opportunities in the field of machine learning and python.  

Machine Learning is the branch of computer science that deals with training the machine to solve real-world problems. , Artificial Intelligence is implemented in repetitive tasks and a highly predictable job. Machine Learning Course has been very important these days to acquire the skills required to cope up with the corporate. More than the certification more important is the kind of skills you acquire during this process. In some of the top IT hubs in our country like Chennai, the demand for professionals in the domains of Machine Learning and Artificial Intelligence has surpassed over the past few years. As a result of which a lot of various machine learning course in chennai are available right now

Types of Machine learning:

 1.     Supervised Learning:  The objective of supervised learning is to make the data learn without programming of the learning. In this method, both the inputs and outputs are now given to the data.

 2.     Unsupervised Learning: In the case of unsupervised learning, a particular cluster of data can take reference from previous algorithms.

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Artificial Intelligence Skills required in Hyderabad for 2020

The fundamental of creating an AI-based algorithm is to create efficient and intelligent algorithms that can be used to solve real-world challenges. Artificial Intelligence is used to do the automation of the jobs of repeatable nature. According to the sources by 2030 around 50% of the jobs in the U.S will be automated which further leads to job cuts. This may remove old jobs but also many new jobs would be created, which further will create the necessity of professionals with AI skills. In some of the top IT hubs in our country like Hyderabad, the demand for professionals in the domains of Machine Learning and Artificial Intelligence has surpassed over the past few years. As a result of which a lot of various artificial intelligence course in hyderabad are available right now.

Introduction to Artificial Intelligence and the kind of skills required to master it comes with a great importance while learning this particular technology. This particular skill can further be used to develop intelligent algorithms that can be used to solve real time challenges. From Google's driverless cars to Amazon Go stores AI has conquered everything that comes into the picture. In some of the top IT hubs in our country like Bangalore, the demand for professionals in the domains of Machine Learning and Artificial Intelligence has surpassed over the past few years. As a result of which a lot of artificial intelligence tutorial are available in the market right now.

 Artificial Intelligence involves the following skills and functions:

1 Cognitive Computing

2 Computer Vision

3 Machine Learning

4 Neural Networks

5 Deep Learning

6 Natural Language Processing

 The following are some of the top industries that have implemented Artificial Intelligence Algorithms to some of their processes:

 1. Financial Industry: Some of the leading banks like the HDFC banks have started using AI-based algorithms implemented robots to count their notes or the currency. This is mostly done to cut off the extra costs involved in the entire process.

 2. Healthcare: This particular Health care industry has started using AI-based robots that can perform surgical operations on humans. More than 17000 surgeries have already been done until today.

 3. Retail: Nowadays many retail stores have started using the AI-based algorithms to analyze your purchase history and accordingly it will show new product recommendations to consumers.

 4. Manufacturing: Many AI-based robots have already started their operations in manufacturing and designing various cars and bikes according to consumer behavior.

 One can very easily crack any AI job and can climb the corporate ladder by means of artificial intelligence interview question and answers

 Advantages of AI: -

It is kind of complex in nature as its mixture of computer science and mathematical and other

1-Error reduction: - Ai helps in reducing the error and chance of reaching the accuracy with greater degree of precision. Intelligent robots are fed with information and are send to explored space. Since they are machines with metal bodies, they are more resistant and have a greater ability to endure the space and hostile atmosphere. They are created and acclimatized in such a way that they6 cannot be modified or get disfigured or breakdown in hostile environment.

2-Difficult exploration: - Artificial Intelligence and science of robotics can put to use in mining and other fuel exploration processes. Not only that, these complex machines can be used for exploring the ocean floor and hence overcome human limitation. Due to programming robots can work more laborious and hard work than human.

3-Digital assistance- Highly applications like avatar which is replica of digital assistance who can actually interact with user, thus saving the need of human resources.

[naveen167-posts-blog]

Data Science Skills for Hyderabad in 2020

Data Science is defined as the process of analyzing the data generated by various searches, traffic content and taking the business decisions accordingly. This usually involves data visualization, data manipulation and data mining. Therefore one should know the basics of Python and R-Programming. Data Science is going to be the future of everything from Google's self-driving cars to speech recognition tools like Alexa, everything is consuming the data like anything. Data Science starts from R Programming and Python coupled with analytics in the platforms like tableau. Along with this Data Science involves both data visualization and creating new machine learning algorithms so as to solve the real-world challenges. Data Science is one among the hottest professions in the world right now. In some of the top IT hubs in our country like Hyderabad, the demand for professionals in the domains of Data Science and Data Analytics has surpassed over the past few years. As a result of which a lot of various data science training in Hyderabad are available right now.  

Data Scientists are responsible for analyzing all the input data we are getting in and analyzing those data for many useful business insights. By the end of the year 2020, the demand for data science professionals is going to increase by 28 %.As a result of which a lot of data science tutorial are available in the market right now. Data Science is the combination of both the hard and the soft skills. These hard skills may include python, SQL, R using python, deep learning, machine learning and data visualization. So one can very easily upgrade their skills and career by learning data science.

Along with this one can easily master data science interview questions and upgrade his/her career in this digital era.

Lifecycle of Data Science

Overview of the Data Science Lifecycle:

Phase 1—Discovery: Before you start the venture, it is critical to comprehend the different details, necessities, needs and required spending plan. You should have the capacity to pose the correct inquiries. Here, you survey on the off chance that you have the required assets present as far as individuals, innovation, time and information to help the task.

Phase 2 — Data Preparation You require expository sandbox in which you can perform investigation for the whole term of the task. You have to investigate, preprocess and condition information preceding displaying. Further, you will perform ETLT (separate, change, load and change) to get information into the sandbox

 Phase 3—Model planning: You will decide the strategies and procedures to draw the connections between factors. These connections will set the base for the calculations which you will execute in the following stage. You will apply Exploratory Data Analytics (EDA) utilizing different factual equations and representation devices.

  There are various module planning tools

R has     a complete set of modeling capabilities and provides a good environment     for building interpretive models.

SQL Analysis services can     perform in-database analytics using common data mining functions and basic     predictive models.

SAS/ACCESS  can     be used to access data from Hadoop and is used for creating repeatable and     reusable model flow diagrams.

There are so many tools present in the market, but R is the most used once

Phase 4—Model building: You will create datasets for preparing and testing purposes. You will think about whether your current instruments will do the trick for running the models or it will require an increasingly strong condition (like quick and parallel preparing). You will dissect different learning systems like grouping, affiliation and bunching to construct the model.

Phase 5—Operationalize:  You convey last reports, briefings, code and specialized archives. Likewise, now and then a pilot venture is additionally executed in a constant creation condition. This will give you a reasonable image of the exhibition and other related requirements taking things down a notch before full sending.

[naveen167-posts-blog]

Machine Learning Course in Hyderabad

Machine Learning is the branch of computer science that deals with training the machine to solve real-world problems. , Artificial Intelligence is implemented in repetitive tasks and a highly predictable job. Machine Learning Course has been very important these days to acquire the skills required to cope up with the corporate. More than the certification more important is the kind of skills you acquire during this process. In some of the top IT hubs in our country like Hyderabad, the demand for professionals in the domains of Machine Learning and Artificial Intelligence has surpassed over the past few years. As a result of which a lot of various machine learning course in Hyderabad are available right now

For Machine Learning one has to start with the basics of Python Programming, Python algorithms, supervised and unsupervised learning, probability, statistics, decision tree, random forest, and linear and logistic regression. The applications of Machine Learning have already started from the United States like the driverless cars that are running over the streets of California and the cashless amazon-go store which does not charge a single penny instead it will auto-debit from your amazon account.   Machine Learning tutorial is all about creating machine learning algorithm which is capable enough to solve real-world challenges

Machine learning is basically of two types:

 1.     Supervised Learning:  The objective of supervised learning is to make the data learn without programming of the learning. In this method, both the inputs and outputs are now given to the data.

 2.     Unsupervised Learning: In the case of unsupervised learning, a particular cluster of data can take reference from previous algorithms.

 The following are the types of unsupervised learning methods:

A. K-means Clustering

Collection of all the data inputs into a particular number which is defined by the letter K. Complexity surrounds the letter “k”, which could be any number, big or small.

B. Hierarchical Clustering

After collection of all the data into one, separating the data into various parents and children is known as hierarchical clustering.

C. Probabilistic Clustering

When clustering of data is done on the basis of probability, mainly based on priority basis, that kind of collection is known as probabilistic clustering.

The programming languages that are used for Machine Learning are :

1.     R

2.     Python

3.     Lisp

4.     Prolog

5.     Java

Some of the real life examples of Machine Learning are prediction , regression, image processing, learning association, classification.

Business Understanding : the business or the need to build a product is understood first. Hence the user requirements is understood.

Data Understanding : Now once the business is understood the data or the information related to it is collected.

Data Preparation : Data is now prepared according to the requirement and the machine is trained.

Modelling : The model is ready and should be evaluated further.

Evaluation : the model is completely evaluated before releasing it to the market.

Deployment : Once the model is checked for errors and evaluation is done then is ready for the deployment.

[naveen167-posts-blog]

Data Science Skills that may help you succeed in 2020

ata Science is defined as the process of analyzing the data generated by various searches, traffic content and taking the business decisions accordingly. This usually involves data visualization, data manipulation and data mining. Therefore one should know the basics of Python and R-Programming. Data Science is going to be the future of everything from Google's self-driving cars to speech recognition tools like Alexa, everything is consuming the data like anything. Data Science starts from R Programming and Python coupled with analytics in the platforms like tableau. Along with this Data Science involves both data visualization and creating new machine learning algorithms so as to solve the real-world challenges. Data Science is one among the hottest professions in the world right now. In some of the top IT hubs in our country like Bangalore, the demand for professionals in the domains of Data Science and Data Analytics has surpassed over the past few years. As a result of which a lot of various data science course in bangalore are available right now.  

Data Scientists are responsible for analyzing all the input data we are getting in and analyzing those data for many useful business insights. By the end of the year 2020, the demand for data science professionals is going to increase by 28 %.As a result of which a lot of data science tutorial are available in the market right now. Data Science is the combination of both the hard and the soft skills. These hard skills may include python, SQL, R using python, deep learning, machine learning and data visualization. So one can very easily upgrade their skills and career by learning data science.

Along with this one can easily master data science interview questions and upgrade his/her career in this digital era.

Lifecycle of Data Science

Overview of the Data Science Lifecycle:

Phase 1—Discovery: Before you start the venture, it is critical to comprehend the different details, necessities, needs and required spending plan. You should have the capacity to pose the correct inquiries. Here, you survey on the off chance that you have the required assets present as far as individuals, innovation, time and information to help the task.

Phase 2 — Data Preparation You require expository sandbox in which you can perform investigation for the whole term of the task. You have to investigate, preprocess and condition information preceding displaying. Further, you will perform ETLT (separate, change, load and change) to get information into the sandbox

Phase 3—Model planning: You will decide the strategies and procedures to draw the connections between factors. These connections will set the base for the calculations which you will execute in the following stage. You will apply Exploratory Data Analytics (EDA) utilizing different factual equations and representation devices.

There are various module planning tools:

R has     a complete set of modeling capabilities and provides a good environment     for building interpretive models.

SQL Analysis services can     perform in-database analytics using common data mining functions and basic     predictive models.

SAS/ACCESS  can     be used to access data from Hadoop and is used for creating repeatable and     reusable model flow diagrams.

There are so many tools present in the market, but R is the most used once

Phase 4—Model building: You will create datasets for preparing and testing purposes. You will think about whether your current instruments will do the trick for running the models or it will require an increasingly strong condition (like quick and parallel preparing). You will dissect different learning systems like grouping, affiliation and bunching to construct the model.

Phase 5—Operationalize:  You convey last reports, briefings, code and specialized archives. Likewise, now and then a pilot venture is additionally executed in a constant creation condition. This will give you a reasonable image of the exhibition and other related requirements taking things down a notch before full sending. 

[naveen167-posts-blog]

Python for Data Science and its importance in 2020

If someone is trying to get into programming then I think that python is one among the best and the easiest languages to learn. This is why because python has a lot of real-world practical applications apart from the regular programming skills. By learning Python, one can easily get into the world of artificial intelligence because AI is going to the next big thing in this industrial revolution. Python for data science course is the need of the hour now.

Learn more:  https://intellipaat.com/python-for-data-science-training/

One has to start with the basics of python language like creating the hello world program, data type declaration and python installation. Then one will learn about the python lists and strings list is a data structure in Python that is a mutable, or changeable, ordered sequence of elements. Each element or value that is inside of a list is called an item. Just as strings are defined as characters between quotes. Then one has to learn about some of the libraries that are used in data science like NumPy library, Pandas library, Matplotlib, Scipy, and many other libraries. Then enhance more your python coding skills by practicing more of it. Many Deep learning frameworks in Data Science are implemented by using python. Along with this, in the field of machine learning, it is used for building fraud detection algorithms and network security algorithms for developers. Due to this immense application of python in data science, deep learning, and machine learning, the requirement of the professionals with python skills have increased drastically over the past few years. This further creates the necessity of python for data science.

[naveen167-posts-blog]

Machine Learning Courses – Your gateway to next industrial revolution

Machine Learning is the branch of computer science that deals with training the machine to solve real-world problems. , Artificial Intelligence is implemented in repetitive tasks and a highly predictable job. Machine Learning Course has been very important these days to acquire the skills required to cope up with the corporate. More than the certification more important is the kind of skills you acquire during this process. In some of the top IT hubs in our country like Bangalore, the demand for professionals in the domains of Machine Learning and Artificial Intelligence has surpassed over the past few years. As a result of which a lot of various machine learning training in Bangalore are available right now

For Machine Learning one has to start with the basics of Python Programming, Python algorithms, supervised and unsupervised learning, probability, statistics, decision tree, random forest, and linear and logistic regression. The applications of Machine Learning have already started from the United States like the driverless cars that are running over the streets of California and the cashless amazon-go store which does not charge a single penny instead it will auto-debit from your amazon account.   Machine Learning tutorial is all about creating algorithms and creating various real-world problem-solving challenges

 Machine Learning can also be used for automation which means to automate the high precision and repetitive activities. The following are some of the top industries that have implemented machine learning algorithms to some of their processes:

 1.      Financial Industry: Some of the leading banks like the HDFC banks have started using machine learning algorithms implemented robots to count their notes or the currency. This is mostly done to cut off the extra costs involved in the entire process.

 2.      Healthcare: This particular Health care industry has started using AI-based robots that can perform surgical operations on humans. More than 17000 surgeries have already been done until today.

3.      Retail: Nowadays many retail stores have started using the AI-based algorithms to analyze your purchase history and accordingly it will show new product recommendations to consumers.

4.  Manufacturing: Many AI-based robots have already started their operations in manufacturing and designing various cars and bikes according to consumer behavior.

 Machine learning is basically of two types:

 1. Supervised Learning: The objective of supervised learning is to make the data learn without programming of the learning. In this method, both the inputs and outputs are now given to the data.

 2. Unsupervised Learning: In the case of unsupervised learning, a particular cluster of data can take reference from previous algorithms.

The following are the types of unsupervised learning methods:

A. K-means Clustering

Collection of all the data inputs into a particular number which is defined by the letter K. Complexity surrounds the letter “k”, which could be any number, big or small.

B. Hierarchical Clustering

After collection of all the data into one, separating the data into various parents and children is known as hierarchical clustering.

C. Probabilistic Clustering

When clustering of data is done on the basis of probability, mainly based on priority basis, that kind of collection is known as probabilistic clustering.

 One can easily master all the machine learning interview questions and can easily upgrade his/her career

[naveen167-posts-blog]

Artificial Intelligence and its importance in the next industrial revolution of 2020

The fundamental of creating an AI-based algorithm is to create efficient and intelligent algorithms that can be used to solve real-world challenges. Artificial Intelligence is used to do the automation of the jobs of repeatable nature. According to the sources by 2030 around 50% of the jobs in the U.S will be automated which further leads to job cuts. This may remove old jobs but also many new jobs would be created, which further will create the necessity of professionals with AI skills. In some of the top IT hubs in our country like Bangalore, the demand for professionals in the domains of Machine Learning and Artificial Intelligence has surpassed over the past few years. As a result of which a lot of various artificial intelligence course in Bangalore are available right now

 Learn more: https://intellipaat.com/artificial-intelligence-course-bangalore/

 Therefore it has become very important for one to get skilled in this particular technology and to climb the corporate ladder in the coming years. From Google's driverless cars to Amazon Go stores AI has conquered everything that comes into the picture. In some of the top IT hubs in our country like Bangalore, the demand for professionals in the domains of Machine Learning and Artificial Intelligence has surpassed over the past few years. Apart from this a lot of artificial intelligence tutorial is available in the market right now.

 The following are some of the top industries that have implemented Artificial Intelligence Algorithms to some of their processes:

 1. Financial Industry: Some of the leading banks like the HDFC banks have started using AI-based algorithms implemented robots to count their notes or the currency. This is mostly done to cut off the extra costs involved in the entire process.

 2. Healthcare: This particular Health care industry has started using AI-based robots that can perform surgical operations on humans. More than 17000 surgeries have already been done until today.

 3. Retail: Nowadays many retail stores have started using the AI-based algorithms to analyze your purchase history and accordingly it will show new product recommendations to consumers.

 4. Manufacturing: Many AI-based robots have already started their operations in manufacturing and designing various cars and bikes according to consumer behavior.

 One can very easily crack any AI job and can climb the corporate ladder by means of artificial intelligence interview questions

[naveen167-posts-blog]

Importance of Python Programming skills

Python is one among the most easiest and user friendly programming languages when it comes to the field of software engineering. The codes and syntaxes of python is so simple and easy to use that it can be deployed in any problem solving challenges. The codes of Python can easily be deployed in Data Science and Machine Learning. Due to this ease of deployment and easier syntaxes, this platform has a lot of real world problem solving applications. According to the sources the companies are eagerly hunting for the professionals with python skills along with SQL. An average python developer in the united states makes around 1 lakh U.S Dollars per annum. In some of the top IT hubs in our country like Bangalore, the demand for professionals in the domains of Data Science and Python  Programming has surpassed over the past few years. As a result of which a lot of various  python certification courses are available right now.

Array in Python: An array is defined as a data structure that can hold a fixed number of elements that are of the same python data type. The following are some of the basic functions of array in python:

1. To find the transverse

2. For insertion of the elements

3. For deletion of the elements

4. For searching the elements

 Along with this one can easily crack any python interview by means of python interview questions

[naveen167-posts-blog]

Importance of Python Programming skills

Python is one of the easiest and user-friendly programming languages when it comes to the field of software engineering. The codes and syntaxes of python are so simple and easy to use that it can be deployed in any problem-solving challenges. The codes of Python can easily be deployed in Data Science and Machine Learning. Due to this ease of deployment and easier syntaxes, this platform has a lot of real-world problem-solving applications. According to the sources the companies are eagerly hunting for the professionals with python skills along with SQL. An average python developer in the united states makes around 1 lakh U.S Dollars per annum. In some of the top IT hubs in our country like Bangalore, the demand for professionals in the domains of Data Science and Python Programming has surpassed over the past few years. As a result of which a lot of various  python training in bangalore is available right now.

Apart from this one can easily learn python by his own by python download tutorials and also by implementing real-world skills.

Along with this one can easily crack any python interview by means of python interview questions

[naveen167-posts-blog]

Machine Learning – Your gateway to the next industrial revolution

Machine Learning is the branch of computer science that deals with training the machine to solve real-world problems. Basically, Artificial Intelligence is implemented in repetitive tasks and a highly predictable job. Machine Learning Course has been very important these days to acquire the skills that required to cope up with the corporate. More than the certification more important is the kind of skills you acquire during this process.

Learn more: https://intellipaat.com/machine-learning-certification-training-course/

For Machine Learning one has to start with the basics of Python Programming, Python algorithms supervised and unsupervised learning, probability, statistics, decision tree, random forest, and linear and logistic regression. The applications of Machine Learning has already started from the United States like the driverless cars that are running over the streets of California and the cashless amazon-go store which really does not charge a single penny instead it will auto-debit from your amazon account.   Machine Learning tutorial is all about creating algorithms and creating various real-world problem-solving challenges

Learn more: https://intellipaat.com/blog/tutorial/machine-learning-tutorial/

Basically, Machine Learning can also, be used for automation which means to automate the high precision and repetitive activities. The following are some of the top industries that have implemented machine learning algorithms to some of their processes:

1. Financial Industry: Some of the leading banks like the HDFC banks have started using machine learning algorithm implemented robots to count their notes or the currency. This is mostly done cut off the extra costs involved in the entire process.

2. Healthcare: This particular Health care industry has started using AI-based robots that can actually perform surgical operations on humans. More than 17000 surgeries have already been done till today.

3. Retail: Nowadays many retail stores have started using the AI-based algorithms to analyze your purchase history and accordingly, it will show new product recommendations to consumers.

4. Manufacturing: Many AI-based robots have already started their operations in manufacturing and designing various cars and bikes according to consumer behavior.

[naveen167-posts-blog]

Data Science and its importance in this data-driven world of 2020

Data Science is defined as the process of analyzing the data generated by various searches, traffic content and taking the business decisions accordingly. This usually involves data visualization, data manipulation and data mining. Therefore one should know the basics of Python and R-Programming. Data Science is going to be the future of everything from Google's self-driving cars to speech recognition tools like Alexa, everything is consuming the data like anything. Data Science is one among the hottest professions in the world right now. As a result of which a lot of industries are hunting up for the right data science talent. Due to which a lot of online courses for Data science are available in the market right now.

Data Scientists are responsible for analyzing all the input data we are getting in and analyzing those data for many useful business insights. By the end of the year 2020, the demand for data science professionals is going to increase by 28 %.As a result of which a lot of data science tutorial are available in the market right now. Data Science is the combination of both the hard and the soft skills. These hard skills may include python, SQL, R using python, deep learning and machine learning. So one can very easily upgrade their skills and career by learning data science.

Along with this one can easily master data science interview questions and upgrade his/her career in this digital era.

[naveen167-posts-blog]

Importance of Artificial Intelligence in the next industrial revolution

The fundamental of creating an AI-based algorithm is to create efficient and intelligent algorithms that can be used to solve real-world challenges. Artificial Intelligence is used to do the automation of the jobs of repeatable nature. According to the sources by 2030 around 50% of the jobs in the U.S will be automated which further leads to job cuts.  This may remove old jobs but also many new jobs would also be created, which further will create the necessity of professionals with AI skills.  As a result of which a lot of artificial intelligence courses are available in the market right now. The corporates are hunting now for the professionals with the right skills and right talent.

 Therefore it has become very important for one to get skilled in this particular technology and to climb the corporate ladder in the coming years. From Google's driverless cars to Amazon Go stores AI has conquered everything that comes into the picture. The following are some of the top industries that have implemented Artificial Intelligence Algorithms to some of their processes:

1. Financial Industry: Some of the leading banks like the HDFC banks have started using AI-based algorithms implemented robots to count their notes or the currency. This is mostly done to cut off the extra costs involved in the entire process.

2. Healthcare: This particular Health care industry has started using AI-based robots that can actually perform surgical operations on humans. More than 17000 surgeries have already been done until today.

3. Retail: Nowadays many retail stores have started using the AI-based algorithms to analyze your purchase history and accordingly, it will show new product recommendations to consumers.

4. Manufacturing: Many AI-based robots have already started their operations in manufacturing and designing various cars and bikes according to consumer behavior.