Awesome-AI: The guide to master artificial intelligence
Tags: deeplearning, machinelearning, guidesandtutorials, ai
Published: 2019-03-19 06:44:56

---
title: Awesome-AI: The guide to master artificial intelligence
published: true
tags: deep-learning,machine-learning,guides-and-tutorials,artificial-intellige
canonical_url: https://medium.com/vmacwrites/awesome-ai-the-guide-to-master-artificial-intelligence-a7823611299a
---

### A curated list of articles, books, MOOCs, infographics and many more covering Artificial Intelligence, Machine Learning and Deep Learning. Check this [GitHub repo](https://github.com/VidyasagarMSC/Awesome-AI)

Artificial Intelligence is a fascinating topic and also a kind of buzzword which has been there for years and will dominate for many more years. As and when I interact with developers and students I hear different intuitions about machine learning, deep learning and AI. Sometimes, there’s also a confusion whether AI, ML & DL are all the same or different from each other.

So, I use this [infographic](https://github.com/VidyasagarMSC/Awesome-AI/blob/master/infographics/AI-Timeline.jpg) in my first slide of a presentation. You can easily figure out what is what

![](https://cdn-images-1.medium.com/max/1024/1*2lhfdjvORODXjAntJ-UNmQ.jpeg)<figcaption>Source: <a href="https://apttus.com/blog/artificial-intelligence-works-intelligent-enterprise/">Apttus</a></figcaption>

Even then few of them are like

![](https://cdn-images-1.medium.com/max/1024/1*Uh7cufc-VdZLchpdt-GLJA.jpeg)<figcaption>Photo by <a href="https://unsplash.com/photos/2EJCSULRwC8?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText">Alex Knight</a> on <a href="https://unsplash.com/?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText">Unsplash</a></figcaption>

As humans, we all are different and our way of learning is also differs. Few of us read books to master a topic, few watch videos, few attend online MOOCs(massive open online courses) or [meetups](https://www.meetup.com/BlueCoders/). Few of us (including me) love quick guides and cheat sheets to quickly learn and understand a topic.

So, to answer and to satisfy everyone’s needs and interests to master artificial intelligence. I thought and formulated a [GitHub repo](https://github.com/VidyasagarMSC/Awesome-AI) which will have a small set of interesting aggregations. This is the place going forward where I will group all my learnings and fascinating encounters in the world of AI (ML + DL).

### Beginners — Getting Started

#### Articles

- [An introduction to Artificial Intelligence](https://hackernoon.com/understanding-understanding-an-intro-to-artificial-intelligence-be76c5ec4d2e)
- [A beginner’s guide to artificial intelligence, machine learning, and cognitive computing](https://www.ibm.com/developerworks/library/cc-beginner-guide-machine-learning-ai-cognitive/index.html)
- [Which machine learning algorithm should I use?](https://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use/?utm_source=facebook&utm_medium=cpc&utm_campaign=analytics-global&utm_content=US_interests-conversions)
- [The Journey of a Machine Learning model from Building to Retraining](https://towardsdatascience.com/the-journey-of-a-machine-learning-model-from-building-to-retraining-fe3a37c32307?gi=38d2b73db825)
- [Interact with this Chatbot through voice and audio](https://chatbotslife.com/interact-with-this-chatbot-through-voice-and-audio-81b5c0c9b10b)
- [Anomaly Detection in mobile sensor data using Machine Learning](https://towardsdatascience.com/anomaly-detection-in-mobile-sensor-data-48ef62d0f7fc)

#### MOOCs

- [Introduction to Artificial Intelligence by Microsoft on edx](https://www.edx.org/course/introduction-to-artificial-intelligence-ai)
- [Introduction to Machine Learning crash course by Google](https://developers.google.com/machine-learning/crash-course/ml-intro)

#### Books

- [Machine Learning for Dummies, IBM Limited edition](https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=IMM14209USEN) — _75 Pages_
- [Machine Learning Yearning by Andrew Ng — Signup for a free draft copy](http://www.mlyearning.org/) — _Approx. 100 pages_

#### Quick guides

- [DZone’s Guide to Artificial Intelligence: Machine Learning and Predictive Analytics](https://dzone.com/guides/artificial-intelligence-machine-learning-and-predi)
- [What is Machine Learning?](https://www.mathworks.com/content/dam/mathworks/tag-team/Objects/i/88174_92991v00_machine_learning_section1_ebook.pdf)
- [Introducing Deep Learning with MATLAB](https://es.mathworks.com/content/dam/mathworks/tag-team/Objects/d/80879v00_Deep_Learning_ebook.pdf)
- [Introduction to Tensorflow](https://dzone.com/refcardz/introduction-to-tensorflow?chapter=1)

#### Cheatsheets

- [Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data](https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463)
- [The machine learning algorithm cheat sheet — sas.com](https://github.com/VidyasagarMSC/Awesome-AI/blob/master/cheatsheets/machinelearning/machine-learning-cheat-sheet-sas.png)
- [Machine Learning Cheatsheet](http://ml-cheatsheet.readthedocs.io/en/latest/index.html)

### Advanced AI

#### MOOCs

- [Deeplearning.ai | Coursera by Andrew Ng](https://www.deeplearning.ai/) — _5 courses_
- [Machine Learning | Coursera by Andrew Ng](https://www.coursera.org/learn/machine-learning)

#### Books

- [Deep Learning, An MIT Press book](http://www.deeplearningbook.org/)
- [Understanding Machine Learning: From Theory to Algorithms](http://www.cs.huji.ac.il/%7Eshais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf)

### Interesting reads

- [Should We Worry About Artificial Intelligence (AI)?](https://www.codingdojo.com/blog/dark-side-of-artificial-intelligence-ai/)
- [The future of AI: IS YOUR JOB UNDER THREAT? — _Businessleader_](https://www.businessleader.co.uk/the-future-of-artificial-intelligence-is-your-job-under-threat/44959/)

### Infographics

- [AI “Technology Readiness” Infographic](https://github.com/VidyasagarMSC/Awesome-AI/blob/master/infographics/AI-tech-landscape-graphic.png) _Source: CallaghanInnovation_
- [AI Timeline](https://github.com/VidyasagarMSC/Awesome-AI/blob/master/infographics/AI-Timeline.jpg) _Source: Apttus_
- [AI detailed Timeline](https://github.com/VidyasagarMSC/Awesome-AI/blob/master/infographics/Artificial-Intelligence-AI-Timeline-Infographic.jpeg) _Source: Digital Intelligence Today_

_If you see a broken link, open an [issue](https://github.com/VidyasagarMSC/Awesome-AI/issues/new).

#### Fork the [repo](https://github.com/VidyasagarMSC/Awesome-AI), add more content and a PR to merge.

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