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1 Data Science is Changing and Data Scientists will Need to Change Too – Here’s Why and How

Data Science is Changing and Data Scientists will Need to Change Too – Here’s Why and How

Added by William Vorhies on January 16, 2018

2 Who will get hired at Google?

Who will get hired at Google?

Added by Anupama Rajaram on January 15, 2018

3 7 Visualizations You Should Learn in R

7 Visualizations You Should Learn in R

Added by Emmanuelle Rieuf on January 3, 2017

4 What Happens when our Computers get Smarter than we are?

What Happens when our Computers get Smarter than we are?

Added by Capri Granville on January 20, 2018

5 19 Data Science Tools for people who aren’t so good at Programming

19 Data Science Tools for people who aren’t so good at Programming

Added by Emmanuelle Rieuf on June 2, 2016

6 Want to become a Data Scientist? Try Feynman Technique

Want to become a Data Scientist? Try Feynman Technique

Added by Venkat Raman on January 11, 2018

7 Machine Learning Explained: Understanding Supervised, Unsupervised, and Reinforcement Learning

Machine Learning Explained: Understanding Supervised, Unsupervised, and Reinforcement Learning

Added by Ronald van Loon on January 16, 2018

8 Supervised Learning Use Cases: Low-Hanging Fruit in Data Science for Businesses

Supervised Learning Use Cases: Low-Hanging Fruit in Data Science for Businesses

Added by Olexander Kolisnykov on January 18, 2018

9 Relational Algebra Is the Root of SQL Problems

Relational Algebra Is the Root of SQL Problems

Added by JIANG Buxing on January 14, 2018

10 The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?

The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?

Added by Shahab Sheikh-Bahaei on July 6, 2017

11 How to Become a Data Scientist - On your own

How to Become a Data Scientist - On your own

Added by Zeeshan Usmani on March 28, 2015

12 Understanding Neural Network: A beginner’s guide

Understanding Neural Network: A beginner’s guide

Added by Ashish Sukhadeve on August 6, 2017

13 Lessons in Becoming an Effective Data Scientist

Lessons in Becoming an Effective Data Scientist

Added by Bill Schmarzo on January 19, 2018

14 The Most Common Analytical and Statistical Mistakes

The Most Common Analytical and Statistical Mistakes

Added by Sunil Kappal on January 3, 2017

15 Help needed on how to analyse data

Help needed on how to analyse data

Posted by Esther Chua on January 9, 2018

16 Data Virtualization: A Supermarket for Data

Data Virtualization: A Supermarket for Data

Added by Amy Flippant on March 9, 2017

17 How to Use Hadoop for Data Science

How to Use Hadoop for Data Science

Posted by sandralynn on January 18, 2017

18 Some Applications of Markov Chain in Python

Some Applications of Markov Chain in Python

Added by Sandipan Dey on January 16, 2018

19 Image Processing and Neural Networks Intuition: Part 1

Image Processing and Neural Networks Intuition: Part 1

Added by Jobil Louis on January 12, 2018

20 Creating Your First Machine Learning Classifier with Sklearn

Creating Your First Machine Learning Classifier with Sklearn

Added by Vincent Granville on January 16, 2018

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