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Market Research and Data Science: Two Faces of a Single Coin

“Data Science and Market Research are two faces of a coin,” Seize the covering of barriers between two realms with their operating methods and differences.

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OpenAI’s GPT-2 (Generative Pre-Trained Transformer-2) : "AI that is too Dangerous to Handle" | Analytics Steps

A Natural Language Processing (NLP) model trained on OpenAI's Generative Pre-Trained Transformer 2 (GPT-2) came up with a quote "The AI that is too dangerous to handle".

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Understanding Bioinformatics as the application of Machine Learning

Bioinformatics, a hybrid science that links biological data with analytics, is an application of ML, read the concept, usage, and issues in Bioinformatics

“Bioinformaticians are not anti-social; We are just genome friendly.”

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Introduction of Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA)

This article reviews the approach to uncover hidden text using Latent Semantic Analysis and Latent Dirichlet Allocation with the help of SVD and TF/ IDF, surmise LDA and its applications in text summarization.

"Computers are incredibly fast, accurate and stupid; humans are incredibly slow, inaccurate and brilliant; together they are powerful beyond imagination." - Albert Einstein, It became the fundamentals for NLP. LSA and LDA are two widely used techniques to solve the shortcomings of NLP. Know about the Introduction of Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) in just one click : 

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Decisive Analytical Initiative: 5 Leading Steps towards Qualitative Data Analytics

Advance your data analysis process and data analytics tools for a better understanding of data analysis, decision-making, and result interpretation.

"If we have data , let’s look at it . If we all have opinions , let's go with mine " Its  not rude , it wise to follow the opinion of an Analyst . Thats what enables any organisations to stay ahead in the competition . know all about importance of Data Analytics and Decisive Analytical Initiative: 5 Leading Steps towards Qualitative Data Analytics in just one click :

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Learning Recurrent Neural Network, applications, and its role for Sentiment Analysis

Recurrent Neural Network(RNN's) model manages Sentiment analysis here in python code, learn the application of Recurrent neural network and difference between RNN and CNN.

Know all about how IMDb gives best recommendations ,

Learning Recurrent Neural Network, applications, and its role for Sentiment Analysis.

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Deep Learning - Overview, Practical Examples, Popular Algorithms | Analytics Steps

Learn what is Deep Learning, its applications, algorithms and advantages along with a comparison between deep learning and machine learning.

Deep Learning - Overview, Practical Examples, Popular Algorithms

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Why does Big Data Analytics in trends? Advantages, Application, and Challenges in Big Data

Embrace this blog with Big Data Analytics, types and tools of Big Data, Catch here benefits and challenges of Big Data.

Why does Big Data Analytics in trends? Advantages, Application, and Challenges in Big Data.

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Convolutional Neural Network (CNN): Graphical Visualization with Code Explanation | Analytics Steps

Convolutional Neural Network(CNN) is highly used in image and face detection, learn activation function, CNN basics and the CNN algorithm using python code.

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Implementing Variance and Normalization under Principal Component Analysis with Python code

Variance and normalization holds an important place in mathematics, understand the Principal Component Analysis and code for PCA interpretation using python.

When 10 new cars are sold, 22 used cars are available for sale in the market. The rise of the market of second-hand cars in India is no surprise as it is highly transparent and lucrative at the same time. You can know the real worth of a second-hand car by monitoring its engine health by using Principle Component Algorithm and Normalisation. Know all about Implementing Variance and Normalization under Principal Component Analysis with Python code in just one click:

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An Optimum Approach Towards the Bag of Words with Code Illustration in Python

Bag of words is used for the sentimental analysis of words, TF-IDF is a method for presenting text data into numbers using ML algorithms. Understand this process using python code.

As it is unethical to talk to a blind man in sign language, similarly machine demands numbers as input, not text. Want to know how to convert all the text into numbers or vectors to model your algorithms? Just click to know an optimum approach towards the Bag of Words with code illustration in python.

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Natural Language Processing: A Discussion for NLP Working and Applications

Discover about natural language processing and its role in sentiment analysis, learn deployment of a chatbot, machine translation, and speech recognition in NLP

Natural Language Processing: A Discussion for NLP Working and Applications

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7 Types of Activation Functions in Neural Network | Analytics Steps

Make the neural network more lenient to solve complex tasks, understand the concept, role, and all the 7 types of activation functions in neural networks.

1.Binary step 

 2.Linear 

 3.ReLU

 4.LeakyReLU 

5. 

6. 

7......... 

 Can you complete the above series? 

The aforementioned sound familiar to you? 

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Neural Network Using Keras Sequential API: Overview, Structure, and it's Applications

An introductory tutorial on Neural Network using Keras sequential API, covering its structure, neural network applications, and implementation in machine learning.

Brain feel no pain.There are also a hundred billion neurons that comprise the brain – as many as in the entire galaxy – all in a squishy mass about the size of a cantaloupe but its little absurd that there are no pain receptors in the brain. 

Know all about Neural Network Using Keras Sequential API : Overview, Structure, and it's Applications in just one click :

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Last days of summer

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5 Ways Machine Learning Impacts Your Everyday Life?

Top-most application of machine learning as in transportation, payments, and email classification make work more accessible, have information in this tutorial.

Have you ever wondered how Youtube knows how to make you laugh more than your friends and how Netflix knows more about your taste than your cook? Do you know the logic behind these thoughts? The impact of machine learning is far deeper and extended in our life than you think of. Know 5 ways Machine Learning impacts your daily life in just one click.