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Data Science Resources (Mostly Free)
freeml's Introduction
Data Science Resources (Mostly Free)
Introduction to Statistical Learning: pdf
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science: pdf
The Elements of Statistical Learning: pdf
Natural Language Processing:
Ng’s deep learning courses: Coursera . This specialization is so popular but only the first three (4 by Oct 31) courses are open. Prof. Ng covers all a lot of details and he is really a good teacher.
Tensorflow. Stanford CS20SI: Youtube
Stanford 231n: Convolutional Neural Networks for Visual Recognition (Spring 2017): Youtube , Couse page
Stanford 224n: Natural Language Processing with Deep Learning (Winter 2017): Youtube , Course page
The self-driving car is a really hot topic recently. Take a look at this short course to see how it works. MIT 6.S094: Deep * Learning for Self-Driving Cars: Youtube , Couse page
Neural Networks for Machine Learning by Hinton: Coursera . This course is so hard for me but it covers almost everything about neural networks. Prof. Hinton is the hero.
Docker Mastery: Udemy
The Ultimate Hands-On Hadoop: Udemy
Spark and Python for Big Data with PySpark: Udemy
UCL Course on RL by David Silver: Course page
CS 294: Deep Reinforcement Learning by UC Berkeley, Fall 2017: Course page
Reinforcement Learning: An Introduction (2nd): pdf
111 Data Science Interview Questions & Detailed Answers: Link
40 Interview Questions asked at Startups in Machine Learning / Data Science Link
100 Data Science Interview Questions and Answers (General) for 2017 Link
21 Must-Know Data Science Interview Questions and Answers Link
45 Questions to test a data scientist on basics of Deep Learning (along with solution) Link
30 Questions to test a data scientist on Natural Language Processing Link
Questions on Stackoverflow: Link
Compare two models: My collection
Over 100 Data Science Interview Questions Link
20 questions to detect fake data scientists Link
Question on Glassdoor: link
Bayesian Statistics: From Concept to Data Analysis: Coursera
Bayesian Methods for Machine Learning: Coursera
Statistical Rethinking: Course Page (Recorded Lectures: Winter 2015, Fall 2017)
Bayesian Data Analysis, Third Edition
Applied Predictive Modeling
Time Series Analysis and Its Applications: Springer
Heard on the Street: Quantitative Questions from Wall Street Job Interviews by Timothy Falcon Crack: Amazon
A Practical Guide To Quantitative Finance Interviews by Xinfeng Zhou: Amazon
A Collection of Dice Problems: pdf
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