Resources to learn AI,ML,DL Part 1

                 Best Resources to learn from zero to Hero in Data Science

Are you a fresher ? 

Want to know from where you can start to get into Data Science ?

Want to know which subject you need to start to get into data science?

To study a new topic are technology are the many kind of way to study likely

• Readings  Blogs about a particular topic
• Videos in you tube or taking some online courses
  
• Books
• Podcast
  

Now-a-days all these things are available for the field of Data science and machine learning ,deep learning and Artificial Intelligence

Its ok to learn this "BUZZ" technical technology later but before all these things

Mathematics play a major role in all these domain ,without knowing all these things you cannot be a expert in any one of the domain

Lets get started from

Mathematics

Topics to learn in machine learning

1. probability
2. statistics
3. Calculus

Video Courses

Coursera - Mathematics of machine learning

MIT - mathematics of machine learning

edx

Algebra

• Algebra - Khan Academy
• Algebra II, Khan Academy
• Linear Algebra, MIT
• Linear Algebra - Foundations to Frontiers, University of Texas at Austin
• Introduction to Linear Models and Matrix Algebra, Harvard
  

Calculus

• Precalculus, Khan Academy
• Calculus 1, Khan Academy
• Calculus 2, Khan Academy
• Multivariable calculus, Khan Academy
• Differential equations, Khan Academy
• Introduction to Calculus, University of Sydney

Statistics & Probability

• Statistics and probability, Khan Academy
  
• Fundamentals of Statistics, MIT
  
• Data Science: Probability, Harvard
  
• Probability - The Science of Uncertainty and Data, MIT
  
• Improving your statistical inferences, Eindhoven University of Technology
  
• Introduction to Probability and Data, Duke University
  
• Probability Theory and Mathematical Statistics, Penn State
  

Machine Learning

• Coursera — Machine Learning
  
• Coursera — Neural Networks for Machine Learning
  
• Udacity — Intro to Machine Learning
  
• Udacity — Machine Learning
  
• Udacity — Deep Learning
  
• Machine Learning
  
• Practical Deep Learning For Coders
  
• Stanford CS231n — Convolutional Neural Networks for Visual Recognition (Winter 2016) (class link)
• Stanford CS224n — Natural Language Processing with Deep Learning (Winter 2017) (class link)
• Oxford Deep NLP 2017
  
• Reinforcement Learning
  
• Practical Machine Learning Tutorial with Python
  

You tube Channels for Machine learning and NLP as well as Deep learning

• sentdex
  
• Siraj Raval
  
• Two Minute Papers
  
• DeepLearning.TV
  
• Data School 
  
• Understanding Machine Learning — Shai Ben-David
  
• Machine Learning TV
• Lex Fridman
  
• krish naik 
• Abshiek Thakur
• Hitesh Choudary

BLOGS

Machine learning mastery

Medium

Analytics Vidhya

Analytics India Magazine

There are many other resources and community groups,telegram community, and online hackathon available .stay stuned for updates regarding this resources list i will updated more  about this in the next blog.