Python is a multipurpose programming language and widely used for Data Science, which is termed as the sexiest job of this century.…

How to win a Kaggle competition
Of course one way to win is play by the rules and submit the best answer. But since most of these challenges are about predicting something, what about a candidate who creates 5 accounts with 5 diffe…
Discussion
How to win a Kaggle competition
4 Likes
Lecture Notes by Andrew Ng : Full Set

The following notes represent a complete, stand alone interpretation of Stanford's machine learning course presented by Professor Andrew…

Blog Lecture Notes by Andrew Ng : Full Set 6 Likes
Cheat Sheet: Data Visualisation in Python
Below is a Python for Visualization cheat sheet, originally published here as an infographics. Other cheat sheets about Data Science, Python, Visualization, and R, can be found here. Here are additio…
Discussion
Cheat Sheet: Data Visualisation in Python
14 Likes

Learn Python for Data Science from Scratch
Blog
Learn Python for Data Science from Scratch
18 Likes

**Why Python?**

Python is a multipurpose programming language and widely used for Data Science, which is termed as the sexiest job of this century.…

Two Beautiful Mathematical Results

These results are relatively easy to prove (first year college-level calculus needed) and could be a good test to refresh your math skills. We posted another simple one (with a probabilistic /…

Blog Two Beautiful Mathematical Results 4 Likes Two Beautiful Mathematical Results - Part 2In Part 1 of this article (see here) we featured the two results…

Blog Two Beautiful Mathematical Results - Part 2 5 Likes
22 Great Articles About Neural Networks

This resource is part of a series on…

Blog 22 Great Articles About Neural Networks 3 Likes Probability Cheat Sheet - Harvard UniversityBelow is an extract of a 10-page cheat sheet about probability, compiled by William Chen (http://wzchen.com) and Joe Blitzstein, with contributions from Sebastian…

Blog Probability Cheat Sheet - Harvard University 3 Likes 29 Statistical Concepts Explained in Simple EThis resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow,…

Blog 29 Statistical Concepts Explained in Simple E 20 Likes
Developing a Big Data / Data Science / Design

For my final class this year at the University of San Francisco School of Management, I taught the students using nothing but infographics. Not only was it fun for me, but I think…

Blog Developing a Big Data / Data Science / Design 4 Likes
What are the Big Guys Using?

*Summary:** The largest companies utilizing the most data science resources are moving rapidly toward more integrated advanced analytic platforms. The features they are demanding…*

Interview with Two Women Data Scientists

Genevera I. Allen (left) is professor in the Departments of Statistics, and the Electrical and Computer Engineering, at Rice…

Blog Interview with Two Women Data Scientists 3 Likes
140 Machine Learning Formulas

By Rubens Zimbres. Rubens is a Data Scientist, PhD in Business Administration, developing Machine…

Blog 140 Machine Learning Formulas 22 Likes Deep Learning: AlphaGo Zero Explained In OneRecently Google DeepMind announced AlphaGo Zero — an extraordinary achievement that has shown how it is possible to train an agent to a superhuman…

Blog Deep Learning: AlphaGo Zero Explained In One 8 Likes
One-page R: a survival guide to data science

*This article comes from Togaware.…*

From the author of the bestsellers, *Data Scientist* and *Julia for Data Science*, this book covers four foundational areas of data science. The first…

Deep Learning Cheat Sheet (using Python Libra

This cheat sheet was produced by DataCamp, and it is based on the Keras library..Keras is an easy-to-use and powerful library for Theano and TensorFlow that provides…

Blog Deep Learning Cheat Sheet (using Python Libra 5 Likes Understanding Neural Network: A beginner’s guNeural network or artificial neural network is one of the frequently…

Blog Understanding Neural Network: A beginner’s gu 15 Likes Deep Learning Cheat Sheet for Beginners*This article was written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. **It consists of summaries, dozens of…*

*Summary:** The most important developments in Deep Learning and AI in the last year may not be technical at all, but rather a major change in business model. In the space of about…*

© 2020 Data Science Central ® Powered by

Badges | Report an Issue | Privacy Policy | Terms of Service

**Most Popular Content on DSC**

To not miss this type of content in the future, subscribe to our newsletter.

- 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

**Archives:** 2008-2014 |
2015-2016 |
2017-2019 |
Book 1 |
Book 2 |
More

**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