Best resources for Deep learners, Machine learning , artificial intelligence, programming, interviews, jobs..
UPDATED 15–02–2019
DATA SCIENCE
How to become Data Scientist?
Quora hosts several individual opinions of their own. Here there are hundreds of opinions and suggestions that help you to become Data scientist.
link here.
Data science resources
It has several resources raning from Free resources, Data science courses, Data science community, Data science tutorials, Data science webinars, Data science podcasts, Big Data talks, Python for Data science talks, R for Data science talks, Data science books, Data science news, Data science projects.
- link here.
2. Python for data science here.
3. Analytics vidhya’s (top datascience platform) comprehensive learning path for data science with python here.
4. one more here.
5. Open source data science masters curriculum for data science here.
6. 60second data science here.
7. Data camp Intro to Data science Free course here.
8. Udemy Data science, machine learning , deep learning course here.
9. Udemy python for data science and machine learning bootcamp here.
10. I ranked every Intro to Data Science course on the internet, based on thousands of data points here.
11. If you want to learn Data Science, start with one of these programming classes here.
12. The best Data Science courses on the internet, ranked by your reviews here.
13. Aspiring Data Scientist! Here are 8 free online courses to start here.
14. 18 Resources to Learn Data Science Online here.
15a. Python for data science — part1
15b. Python for Data science — part2
15c. Python for Data science — part3
16. Randy lao free data science resources here.
17. IBM university here.
18. The Data Science Course 2018: Complete Data Science Bootcamp here.
19. Datamovesme favorite moocs for data science here.
20. Coursera’s applied data science with python here.
21. Coursera’s IBM Data science python course here.
22. Coursera’s john hopkins data science course here.
23. EDX data science course here.
24. how to get your first data science job here.
25. 24 ultimate datascience projects to boost your skills here.
26. Harvard data science course here.
27. Sinxloud data science with python course here.
28. learn data science with 0 investment here.
PAID DATA SCIENCE COURSES
JIg saw academy full stack data science course here.
Imarticus data science course here.
Simply learn Data scientist masters programme here.
Edureka data scientist masters programme here.
Cognixia python data science programme here.
FREE DATA scinece courses
Data science academy free datascience course here.
Class-Central free online popular courses here.
My analytics mentor free data science course here.
semati.ca how to start ML and Data Science here.
Elite data science how to learn python for data science here.
Data science school introduction to data science with python here.
Alison’s free data science course here.
Data science interview questions here.
How to build data science project from scratch here.
Data science Flash cards will be helpful before interview here.
1–1 to mentorship website to get a mentor here.
Google Analytics Academy free courses here.
MACHINE LEARNING
Machine Learning in 3 months
Siraj raval says →”How is a total beginner supposed to get started learning machine learning? I’m going to describe a 3 month curriculum to help you go from beginner to well-versed in machine learning. Its an accelerated learning plan, something i’d create for myself if I were to get started today, but I’m going to open source it for you guys. This curriculum will cover all the math concepts, the machine learning theory, and the deep learning theory to get you up to speed with the field as fast as possible. If anyone asks how to best get started with machine learning, direct them to this video!”
link here.
- What to do after completing Andrew NG machine learning course?
link here.
link1 here.
2. Top 15 machine learning books link here.
3. Free training resources for AI & ML link here.
4. Awesome collection of top machine learning course link here.
5. how do i learn machine learning link here.
6. google machine learning crash course link here.
7. Machine learning A-Z : Hands on Python &R in Data science link here.
8. 30 Top Videos, Tutorials & Courses on Machine Learning & Artificial Intelligence from 2016 here.
9. Github repositories of Udacitie’s all Nano Degree here.
10. The best machine learning course finder here.
11. IBM university here.
12. semant.ca how to start ML and Data Science here.
13. Machine learning cheat sheet here.
14. Microsoft AI school here.
15. Fast.ai machine learning course here.
16. Learn Data Science & Applied Machine Learning by Doing It Yourself here
17. Machine leaning mastery course here.
18. 200+ Best Machine Learning, Natural Language Process, and Python Tutorials for Programmers — 2018 here.
19. Youtube channels for deeplearning and computer vision here.
20. The most important machine learning books here.
21. mlcourse.ai here.
22. machine learning blogs by robofied here.
23. the best machine learning resources here.
24. 10 free resources for machine learning and data science here.
25. MIT Machine learning here.
26. A comprehensive list of Machine Learning Resources: Open Courses, Textbooks, Tutorials, Cheat Sheets and more here.
27. common machine learning algorithms with code here.
An overview on Gradient Descent optimization algorithm by sebastian here.
Top highlights from the amazing machine learning tutorials at NuerIPs here.
MAchine learning at Berkely university here.
Excellent blog with **Graphic visuals on Machine learning here.
machine learning cheat sheet before interview here.
Excellent open Machine learning course here.
Courses from Stanford AI lab here.
DEEP LEARNING
Fast.ai’s deep learning for coders here
200+ Best Machine Learning, Natural Language Process, and Python Tutorials for Programmers — 2018 here.
Youtube channels for deeplearning and computer vision here.
stanford convultional neural networks for visual recognition here.
Zero to hero in pytorch here.
ucananalytics deep learning blogs here.
A simple yet powerful deep learning library here.
learn opencv here.
MIT artificial intelligence course here.
MIT deeplearning course jan 2019 here.
MIT intro to deeplearning 2019 here.
MIT self driving cars 2018 here.
list of free deep learning clasess online here.
computer vision beginner resources here.
NVIDIA deep learning here.
EE-559 — Deep learning (spring 2019) here.
Build your Deep learning machine here.
Excellent Advanced Deep learning and Reinforcement learning here.
What the hell is perceptron here.
how to use t-SNE effectively with Excellent graphic visualzation here.
Deep learning course by Master Datascience Paris University here.
25k liked this Google colab free GPU tutorial here.
Excellent youtube channel for Deep learning here.
9 deep learning papers you need to know about here.
top deep learning papers 2018 here.
NEURAL NETWORK
An Excellent beginner guide to understanding Neural networks here.
understanding LSTM network here.
Stanford CNN for visual recognition here.
An Excellent blog on **neural networks here.
A beginner guide to neural network here.
Neural network Backpropogation in one pic here.
Understanding neural network here.
Top 10 neural network architectures you need to learn here.
Andrej karpathy excellent Back propogation blog here.
Guide to pytorch neural network with 4 case studies here.
siraj raval CNN explanation here.
intutive explanation of CNN here.
simplilearn RNN simple tutorial here.
stanford CNN explanation here.
excellent blog on NN’s, CNN’s, and RNN’s here.
pytorch neural network course here.
udacity Deep learning with Pytorch course here.
Math behind CNN and its construction Excellent (filters,maps, cnn) here.
build Neural network from scratch in python here.
Develop Excellent CNN model for Time series forcasting here.
MATH FOR DATASCIENCE & MACHINE LEARNING
If you want to learn Data Science, take a few of these statistics classes here.
KD nuggets15 mathematics moocs for data science here
The Mathematics of Machine Learning here
Essential math for Data science why & how here
The best online stat book here.
Learn 10 Statistical Techniques to Become Data Scientists Master here.
the best website for math here.
khan academy here.
Math for machine learning here.
Essence of linear Algebra by 3blue1brown here.
Mathematics for machine learning specialization by coursera here.
Excellent blog on **Statistics with 3D visuals here
Statistics by JIM here.
Statistical concepts explined in simple english here.
Math of machine learning here.
7 books to get math for ML and DS here.
probability and statistics cook book here.
GAN’s
GAN’s will change the world here.
Demistifying Generative Adverserial networks here.
excellent blog on GAN’s here.
CVPR 2018 Tutorial on GANs here.
Math behind GAN’s here.
GANs from scratch with code in pytorch and Tensorflow here.
GANs zoo here.
NIPS 2016 Tutorial: Generative Adversarial Networks here.
Oreilly tutorial on GANs for beginners here.
GANs in 50 lines of pytroch course here.
An intuitive introduction to GANs here.
GANs using keras on Tensorflow backend here.
OpenAI blog on GANs here.
Trending Research papers here.
Excellent ppt(presentation) on GANs here.
KD nuggets how to read GANs paper here.
Computer vision
Computer vision resources for beginners here.
Opencv tutorial here.
pyimage search opencv tutorial here.
NLP
Natural language processing here.
top NLP courses review here.
NLP course from coursera here.
top 10 NLP course online here.
Kaggle kernel
Comprehensive Data Exploration with python here.
My secret sauce to be in top 2% in kaggle here.
Excellent machine learning tutorial as comprehensive workflow here.
Linear algebra for Data Scientists here.
Data sets and tutorial kernels for beginners here.
Data science tutorial for beginner here.
secret of winning kaggle competition here.
Excellent website for everything **BRILLIENT here.
GITHUB
Learn github here below.
BLOGS
5 things Data science professionals should know to get hired here.
5 tips to make Machine learning develpment work for you here.
5 data science projects that will get you hired 2018 here.
600 free online courses from world’s top most universities here.
one year of Deep learning course form fast.ai course here.
comprehensive repository of Data science and machine learning resources here.
How to build machine learning portofolio here.
scikit learn model selector here.
Books every data scientist should read here.
Data science beginner guide here.
900 most popular DS & ML articles in 2018 here.
Sebastian raschaka Excellent model evaluation and selection blog here.
40 Excellent techniques used by data scientist here.
Data science simplified blog here.
Chris Albon Excellent blog here
MIT opencourseware youtube channel here.
Conferences
All the AI conferences and their Dead lines here.
PROGRAMMING
Things that every programmer should know
It covers from introduction to algorithms , data structures, time complexity, Memory complexity, Distributive systems, Regular expression, security, Architecture, careers, Opensource , problem solving, Soft skills, Papers on programming, Coding practice websites.
Link here.
The best programmes for learning to code
it compares top learning websites like lynda, Code academy, khan academy , Tree house, Code HS , Code school, Code Avengers, Free code camp, and it compares all the features from these websites. ultimately its you that decides which is best.
link here.
500 free programming and computer science courses here.
Java programmes for practice
This has number based logical programmes, Number system and conversion, Series based programmes, String based programmes, Common logical programmes, Servlet based programmes, JDBC programmes, Reflection based programmes, Matrix based programmes, Pyramid programmes.
link here.
Developers collection
This includes Resources, Tutorials, tools and blogs for software professionals, developers and engineers.
link here.
Algorithm
Algorithm specialzation form coursera here.
Python
Python notes for professionals covers all the topics that a professional should learn and master.
- link here.
2. Teach yourself python here.
3. Data camp free python course as blog here.
4. interactive python with problem solving graphs, trees, datasctructures, recurssion, sorting and searching here.
5. python for complexity theory here.
6. Excellent website for python programming here.
PERSONAL WEBSITE:
useful to establish a brand yourself in online. make a personal website for yourself , that might help you in making recruiters know more about you.
E-BOOKS
you can download free e- books here.
Top Data science books for free here.
download all IT e books here.
ETHICAL HACKING
Eduonix ethical hacking course here.
CEHv9 -Ethical Hacking Course here.
Free ethical hacking course here.
ENGLISH LANGUAGE
1000+ Free english lessons with ESL worksheets → link here.
JOBS
Jobs posting websites
especially if you are in india, this website posts all the vaccancies from top MNC’s like Amazon, Facebook, Wipro, TCS, Tech Mahindra, so on..
link here.
interviewbit here.
how to get your first data science job here.
Resume papers here.
Free anonymous technical interview from Google and Facebook here.
free interview preparation from udacity here.
machine learning cheat sheet before interview here.
Cracking machine learning interview here.
WALLPAPERS
4K HD Wallpaper collection
it has awesome collection of wallpapers ranging from festivals to animals, foods, Collapse, art, cars and bikes, celebrities, food, games, and everthing.
link here.
Pixabay here.
visual hunt here.
OTHERS
Motivation:
This is why only 1% succeed here.
7books for success here.
Secret codes
all the secret and encrypted codes that help individuals in emergency time and helps them to escape. it had cipher key, tap code,vigenere cipher, Grid code, ROT cipher, Morse code and so on..
link here.
TED talk
jeremy howard → father of AI’s ted talk here.
Fei-Fei li ted talk here.
top 36 ted talks on machine learning here.
Ted talks that every Data scientist should listen here.
Thank you for reading . soon this blog will be updated with more content. please like and share with your friends and also add your best courses or websites in the comments down.
Thank you
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