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@learndatanalytics-blog
Introduction Cloud computing is becoming a natural extension for problems / data sets bigger than what laptops and desktops can process. However, for complete starters, getting started on cloud computing platform can look more difficult than what it is. Below in an infographic displaying the concept of cloud computing, its importance and setup using R programming
One of the most common question, which gets asked at various data science forums is: What is the difference between Machine Learning and Statistical modeling? I have been doing research for the past 2 years. Generally, it takes me not more than a day to get clear answer to the topic I am researching
Introduction Twitter has become an inevitable channel for brand management. It has compelled brands to become more responsive to their customers. On the other hand, the damage it would cause can't be undone. The 140 character tweets has now become a powerful tool for customers / users to directly convey messages to brands. For companies, these tweets carry a lot of information like sentiment,
Introduction There are three types of people who take part in a Kaggle Competition: Type 1: Who are experts in machine learning and their motivation is to compete with the best data scientists across the globe. They aim to achieve the highest accuracy Type 2: Who aren't experts exactly, but participate to get better at machine learning.
Drink Coffee, Read Books, Learn More, Be Happy! There are 2 attributes all the members in our team at Analytics Vidhya share: We all are voracious readers We all love to share our knowledge with people in simplified manner, so that everyone gets access to this knowledge. These two attributes
Introduction The secret behind creating powerful predictive models is to understand the data really well. Thereby, it is suggested to maneuver the essential steps of data exploration to build a healthy model. Here is a cheat sheet to help you with various codes and steps while performing exploratory data analysis in Python. We have also released a pdf
Introduction It is said 'A visually presented data speaks for itself'. Data, served in the right visual form, brings out hidden trends and insights to enable faster decision making. The importance of right visualization is only set to increase with increasing data. Python, popular for its ease of writing codes, offers some amazing set of
Introduction A situation has been described below. Has it ever happened to you? I wanted to learn Python for Data Science, so I googled 'I want to learn Python for data science'. Google, effortlessly, provided you the link of all resources to learn Python. Then, you get bemused by the innumerable links available to learn Python.
Introduction The beauty of an art lies in the message it conveys. At times, reality is not what we see or perceive. The endless efforts from the likes of Vinci and Picasso have tried to bring people closer to the reality using their exceptional artworks on a certain topic/matter. Data scientists are no less than artists. They
Data is probably the biggest asset for an organization in today's digital economy. But, with huge data, comes a challenge to mine it quickly and effectively. To solve this problem, Teradata provides data warehousing and analytics solutions across various sectors to help companies make better, faster and smarter decisions. Having launched its IPO in 1987, Teradata is
Introduction There are 3 fundamental changes driving penetration of data science industry: The amount of data generation and storage has become very cheap. Every smart phone comes with numerous sensors, which continuously generate data and companies continue to store it for future usage. Computing power has become cheap Numerous tools are available for an
Here is a recipe using which you can prepare an outstanding resume to get a job in your dream company.
Introduction Last week, we wrote an article on workshops in PyCon Montreal 2015- Hands on way to learn Python. Workshops are 3 hour long hands-on tutorials with resources to help audience learn these tools. We hope these videos helped you master Python further. In this article, we will cover another set of amazing talks from PyCon Montreal
' At Baidu, our goal is to develop hard AI technologies that impact hundreds of millions of users across the world'. - Andrew Ng In case you missed it, let me set the context of this erudite discussion which happened on Reddit on 14th April 2015. This was an AMA with Andrew Ng, Chief Scientist at Baidu
Here is career path if you are interested to be called as ‘Data Scientist’.
Just watched the tutorials of PyCon Montreal 2015 - Gaines some useful insights in Python and ofcourse learnt a lot. I recommend these videos for every person who wants to learn more in Python
Learning path on R provides a step by step guide to become a data scientist using R. The path includes exercises, tutorials & best practices