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49 changes: 48 additions & 1 deletion README.md
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# MLI-Resource-Book
---
description: >-
As you know we are committed to transparency in everything we do. It's why we
always share resources and information on AI/ML. It's also why we compiled a
list of study materials for you!.
---

# Introduction

## About Us

Founded in April of 2018, **Machine Learning India \(MLI\)**, is a thriving community of over **400,000** ardent - artificial intelligence and machine learning enthusiasts across India and the globe. We at MLI, believe that India has the potential to position itself among leaders, on the global technology map.

The goal of MLI is _to reduce the skill-gap in India, by creating a vibrant AI ecosystem and talent pool; thereby leading our country to have a significant take in the global AI revolution_. To pursue the same, we intend to democratize quality **technical education**, **resources,** and **opportunities** and make them available to all.

## Our Social Media Links

* Follow us on Instagram for ML/AI based infographics: [https://www.instagram.com/ml.india/](https://www.instagram.com/ml.india/)
* Follow us on Linkedln to stay updated about our events and career opportunities: [https://www.linkedin.com/company/mlindia/](https://www.linkedin.com/company/mlindia/)
* Follow us on Twitter for latest news from the industry: [https://twitter.com/ml\_india\_](https://twitter.com/ml_india_)
* Learn, share and network with like-minded AI/ML enthusiasts on our community platform: [https://mlindia.mn.co](https://mlindia.mn.co)
* Join our 10,000 strong monthly-newsletter subscriber family: [https://bit.ly/mli-newsletter](https://bit.ly/mli-newsletter)
* Our Youtube Channel: [https://www.youtube.com/channel/UCaKsxDijTJoXDMIgAuNYfcQ](https://www.youtube.com/channel/UCaKsxDijTJoXDMIgAuNYfcQ)

## Table of Contents

{% page-ref page="./" %}

{% page-ref page="artificial-intelligence.md" %}

{% page-ref page="machine-learning.md" %}

{% page-ref page="deep-learning-1.md" %}

{% page-ref page="interview-resources.md" %}

{% page-ref page="genetic-algorithms.md" %}

{% page-ref page="statistics.md" %}

{% page-ref page="useful-blogs.md" %}

{% page-ref page="cheat-sheets.md" %}

{% page-ref page="natural-language-processing.md" %}

{% page-ref page="extra.md" %}

14 changes: 14 additions & 0 deletions SUMMARY.md
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# Table of contents

* [Introduction](README.md)
* [Artificial Intelligence](artificial-intelligence.md)
* [Machine Learning](machine-learning.md)
* [Deep Learning](deep-learning-1.md)
* [Interview Resources](interview-resources.md)
* [Genetic Algorithms](genetic-algorithms.md)
* [Statistics](statistics.md)
* [Useful Blogs](useful-blogs.md)
* [Cheat Sheets](cheat-sheets.md)
* [Natural Language Processing](natural-language-processing.md)
* [Extra](extra.md)

41 changes: 41 additions & 0 deletions artificial-intelligence.md
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# Artificial Intelligence

* [Awesome Artificial Intelligence \(GitHub Repo\)](https://github.com/owainlewis/awesome-artificial-intelligence) A curated list of Artificial Intelligence \(AI\) courses, books, video lectures and papers.
* [UC Berkeley CS188 Intro to AI](http://ai.berkeley.edu/home.html), [Lecture Videos](http://ai.berkeley.edu/lecture_videos.html), [2](https://www.youtube.com/watch?v=W1S-HSakPTM) Materials developed for UC Berkeley's introductory artificial intelligence course
* [Programming Community Curated Resources for learning Artificial Intelligence](https://hackr.io/tutorials/learn-artificial-intelligence-ai) Hackr.io is a community to find and share the best online courses & tutorials. Join them, it only takes 30 seconds.
* [MIT 6.034 Artificial Intelligence Lecture Videos](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi), [Complete Course](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/) In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabilistic inference.
* [edX course \| Klein & Abbeel](https://courses.edx.org/courses/BerkeleyX/CS188x_1/1T2013/info) This course focuses on Intro to AI and other basic concepts in AI.
* [Udacity Course \| Norvig & Thrun](https://www.udacity.com/course/intro-to-artificial-intelligence--cs271)
* [TED talks on AI](http://www.ted.com/playlists/310/talks_on_artificial_intelligen)
* ​[Artificial Intelligence A-Z™: Learn How To Build An AI](https://career.guru99.com/recommends/artificialintelligence-1/)​
* ​[Artificial Intelligence](https://career.guru99.com/recommends/artificialintelligence-2/)​
* ​[Artificial Intelligence Nanodegree](https://in.udacity.com/course/artificial-intelligence-nanodegree--nd889)​
* ​[Artificial Intelligence \(Northwestern \| Kellog School of Management](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#1_Artificial_Intelligence_Northwestern_Kellog_School_of_Management)​
* ​[Machine Learning AI Certification by Stanford University \(Coursera\)](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#2_Machine_Learning_AI_Certification_by_Stanford_University_Coursera)​
* ​[IBM AI Engineering Professional Certificate \(Coursera\)](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#3_IBM_AI_Engineering_Professional_Certificate_Coursera)​
* ​[Artificial Intelligence: Business Strategies and Applications \(Berkeley ExecEd\)](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#4_Artificial_Intelligence_Business_Strategies_and_Applications_Berkeley_ExecEd)​
* ​[Deep Learning by Andrew Ng \(Coursera\)](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#5_Deep_Learning_by_Andrew_Ng_Coursera)​
* ​[AI For Everyone by Andrew Ng \(Coursera\)](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#6_AI_For_Everyone_by_Andrew_Ng_Coursera)​
* ​[Artificial Intelligence Certification by Columbia University \(edX\)](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#7_Artificial_Intelligence_Certification_by_Columbia_University_edX)​
* ​[Introduction to Artificial Intelligence by IBM \(Coursera\)](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#8_Introduction_to_Artificial_Intelligence_by_IBM_Coursera)​
* ​[Microsoft Professional Certification in Artificial Intelligence \(edX\)](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#9_Microsoft_Professional_Certification_in_Artificial_Intelligence_edX)​
* ​[TensorFlow for Artificial Intelligence by deeplearning.ai \(Coursera\)](https://digitaldefynd.com/best-artificial-intelligence-courses-training-certifications/#10_TensorFlow_for_Artificial_Intelligence_by_deeplearningai_Coursera)​
* ​[Artificial Intelligence \(Northwestern \| Kellog School of Management\)](http://emeritus-institute-of-management.sjv.io/c/397676/674046/8201)​
* ​[Machine Learning AI Certification by Stanford University \(Coursera\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=40328&u1=ddai1&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fmachine-learning)​
* ​[IBM AI Engineering Professional Certificate \(Coursera\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=40328&u1=ddainewcert1&murl=https%3A%2F%2Fwww.coursera.org%2Fprofessional-certificates%2Fai-engineer)​
* ​[Artificial Intelligence: Business Strategies and Applications \(Berkeley ExecEd\)](http://emeritus-institute-of-management.sjv.io/c/397676/754488/8201)​
* ​[AI For Everyone by Andrew Ng \(Coursera\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=40328&u1=ddai3&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fai-for-everyone)​
* ​[Artificial Intelligence Certification by Columbia University \(edX\)](https://www.awin1.com/cread.php?awinmid=6798&awinaffid=427859&clickref=ddai5&p=https%3A%2F%2Fwww.edx.org%2Fmicromasters%2Fcolumbiax-artificial-intelligence)​
* ​[Introduction to Artificial Intelligence by IBM \(Coursera\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=40328&u1=ddainew1&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fintroduction-to-ai)​
* ​[Microsoft Professional Certification in Artificial Intelligence \(edX\)](https://www.awin1.com/cread.php?awinmid=6798&awinaffid=427859&clickref=ddai6&p=https%3A%2F%2Fwww.edx.org%2Fmicrosoft-professional-program-artificial-intelligence)​
* ​[TensorFlow for Artificial Intelligence by deeplearning.ai \(Coursera\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=40328&u1=ddai7&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fintroduction-tensorflow)​
* [Free Artificial Intelligence Courses \(edX\)](https://www.awin1.com/cread.php?awinmid=6798&awinaffid=427859&clickref=ddainew2&p=%5B%5Bhttps%253A%252F%252Fwww.edx.org%252Flearn%252Fartificial-intelligence%5D%5D)​
* ​[Artificial Intelligence Courses \(Udemy\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=39197&u1=ddainew4&murl=https%3A%2F%2Fwww.udemy.com%2Ftopic%2Fartificial-intelligence%2F)​
* ​[Learn AI from ML experts at Google \(Google\)](https://ai.google/education/)​
* ​[Advanced AI Tutorial: Deep Reinforcement Learning in Python \(Udemy\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=39197&u1=ddai11&murl=https%3A%2F%2Fwww.udemy.com%2Fdeep-reinforcement-learning-in-python%2F)​
* [Artificial Intelligence Course: Reinforcement Learning in Python \(Udemy\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fartificial-intelligence-reinforcement-learning-in-python%2F)​
* ​[Python for Everybody by University of Michigan \(Coursera\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=40328&u1=ddai15&murl=https%3A%2F%2Fwww.coursera.org%2Fspecializations%2Fpython)​
* ​[Artificial Intelligence for Beginners – Free Course \(LinkedIn Learning – Lynda\)](https://linkedin-learning.pxf.io/c/1238999/449670/8005?subId1=ddartificial1&u=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fartificial-intelligence-foundations-thinking-machines%2F)​
* ​[Artificial Intelligence Certification: Learn How To Build An AI \(Udemy\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fartificial-intelligence-az%2F)​
* ​[Artificial Intelligence Course with Python \(Udemy\)](https://click.linksynergy.com/deeplink?id=vedj0cWlu2Y&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fdata-science-and-machine-learning-with-python-hands-on%2F)​

6 changes: 6 additions & 0 deletions cheat-sheets.md
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# Cheat Sheets

* [Probability Cheat Sheet](http://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf), [Source](http://www.wzchen.com/probability-cheatsheet/)
* [Machine Learning Cheat Sheet](https://github.com/soulmachine/machine-learning-cheat-sheet)
* [ML Compiled](https://ml-compiled.readthedocs.io/en/latest/)

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