As we approach 2017, we have compiled a list of the most popular data science, machine learning, deep learning and related articles published on DSC in 2016. Many great articles have not been included yet as they are very recent, but I have no doubt that they will make it to the top when we will publish our 2017 selection. Also, click here to check out the best articles of 2015.

**Top 30 articles**

- 12 Algorithms Every Data Scientist Should Know
- 40 Techniques Used by Data Scientists
- 15 Deep Learning Libraries
- Data scientist paid $500k can barely code!
- The New Rules for Becoming a Data Scientist
- Learning R in Seven Simple Steps
- Hitchhiker's Guide to Data Science, Machine Learning, R, Python
- 24 Uses of Statistical Modeling (Part I)
- The Death of the Statistical Tests of Hypotheses
- 11 Important Model Evaluation Techniques Everyone Should Know
- 48 Questions to Ask to a Potential Data Scientist Hire
- What pays most: R, Python, or SQL?
- 33 unusual problems that can be solved with data science
- 5 Excel Add Ins Every Data Scientist Should Install
- 5 Free Data Science eBooks For Your Summer Reading List
- Java versus Python
- A Complete Tutorial to Learn Data Science with Python from Scratch
- 12 Python Resources for Data Science
- What statisticians think about data scientists
- The Guide to Learning Python for Data Science
- How Bayesian Inference Works
- A Cheat Sheet on Probability
- Write Code to Rewrite Your Code: jscodeshift
- Top 20 Big Data Experts to Follow (Includes Scoring Algorithm)
- 10 Deep Learning Terms Explained in Simple English
- Scikit-Learn Tutorial Series
- Top 10 IPython Tutorials for Data Science and Machine Learning
- Implementation of 17 classification algorithms in R
- Top 10 Machine Learning Algorithms

**Top DSC Resources**

- Article: What is Data Science? 24 Fundamental Articles Answering This Question
- Article: Hitchhiker's Guide to Data Science, Machine Learning, R, Python
- Tutorial: Data Science Cheat Sheet
- Tutorial: How to Become a Data Scientist - On Your Own
- Categories: Data Science - Machine Learning - AI - IoT - Deep Learning
- Tools: Hadoop - DataViZ - Python - R - SQL - Excel
- Techniques: Clustering - Regression - SVM - Neural Nets - Ensembles - Decision Trees
- Links: Cheat Sheets - Books - Events - Webinars - Tutorials - Training - News - Jobs
- Links: Announcements - Salary Surveys - Data Sets - Certification - RSS Feeds - About Us
- Newsletter: Sign-up - Past Editions - Members-Only Section - Content Search - For Bloggers
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**DSC Podcast**

- Data Science Fails – If It Looks Too Good To Be True…

You’ve probably seen amazing AI news headlines such as: AI can predict earthquakes. Using just a single heartbeat, an AI achieved 100% accuracy predicting congestive heart failure. AI can diagnose covid19 in seconds from a chest scan. A new marketing model is promising to increase the response rate tenfold. It all seems too good to be true. But as the modern proverb says, “If it seems too good to be true, it probably is”. Download now.

**Most Popular Content on DSC**

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- Book: Statistics -- New Foundations, Toolbox, and Machine Learning Recipes
- Book: Classification and Regression In a Weekend - With Python
- Book: Applied Stochastic Processes
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- How to Automatically Determine the Number of Clusters in your Data
- New Machine Learning Cheat Sheet | Old one
- Confidence Intervals Without Pain - With Resampling
- Advanced Machine Learning with Basic Excel
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Fast Combinatorial Feature Selection

**Other popular resources**

- Comprehensive Repository of Data Science and ML Resources
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 100 Data Science Interview Questions and Answers
- Cheat Sheets | Curated Articles | Search | Jobs | Courses
- Post a Blog | Forum Questions | Books | Salaries | News

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**DSC Podcast**

- Data Science Fails – If It Looks Too Good To Be True…

You’ve probably seen amazing AI news headlines such as: AI can predict earthquakes. Using just a single heartbeat, an AI achieved 100% accuracy predicting congestive heart failure. AI can diagnose covid19 in seconds from a chest scan. A new marketing model is promising to increase the response rate tenfold. It all seems too good to be true. But as the modern proverb says, “If it seems too good to be true, it probably is”. Download now.

**Most popular articles**

- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Time series, Growth Modeling and Data Science Wizardy
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Fascinating New Results in the Theory of Randomness
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions

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