Top Stories, Oct 24-30: 5 EBooks to Read Before Getting into Machine Learning; Big Data Science: Expectation vs. Reality

Most Popular Last Week

1. 5 EBooks to Read Before Getting into A Machine Learning Career, by Matthew Mayo
2. The 10 Algorithms Machine Learning Engineers Need to Know, by James Le
3. A Beginners Guide to Neural Networks with Python and SciKit Learn 0.18!
4. Mind of a Data Scientist - Part 1
5. 21 Must-Know Data Science Interview Questions and Answers
6. 7 Steps to Mastering Machine Learning With Python
7. Top 10 Data Science Videos on Youtube

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1. Big Data Science: Expectation vs. Reality, by Stepan Pushkarev - Oct 27, 2016.
2. Mind of a Data Scientist – Part 1, by Thomas Joseph - Oct 25, 2016.
3. Machine Learning: A Complete and Detailed Overview - Oct 28, 2016.
4. Using Machine Learning to Detect Malicious URLs - Oct 28, 2016.
5. Inside Industry 4.0: Whats Driving The Fourth Industrial Revolution? - Oct 24, 2016.
6. 5 Steps for Advanced Data Analysis using Visualization - Oct 28, 2016.
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Most Popular Past 30 Days

1. The 10 Algorithms Machine Learning Engineers Need to Know
2. 21 Must-Know Data Science Interview Questions and Answers
3. 5 EBooks to Read Before Getting into A Machine Learning Career
4. 7 Steps to Mastering Machine Learning With Python
5. Top Algorithms and Methods Used by Data Scientists
6. Battle of the Data Science Venn Diagrams
7. Top 10 Data Science Videos on Youtube

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1. 5 EBooks to Read Before Getting into A Machine Learning Career - Oct 21, 2016.
2. Top 10 Data Science Videos on Youtube - Oct 17, 2016.
3. Deep Learning Key Terms, Explained - Oct 12, 2016.
4. Artificial Intelligence, Deep Learning, and Neural Networks, Explained - Oct 14, 2016.
5. Battle of the Data Science Venn Diagrams - Oct 06, 2016.
6. Big Data Science: Expectation vs. Reality - Oct 27, 2016.
7. A Beginner’s Guide to Neural Networks with Python and SciKit Learn 0.18! - Oct 20, 2016.