diff --git a/README.md b/README.md
index a0c31af..ffb6244 100644
--- a/README.md
+++ b/README.md
@@ -14,12 +14,16 @@ I am collecting material for teaching AI-related issues to non-tech people. The
 **Make this Issue your First Issue**
 I am collecting material for teaching AI-related issues to non-tech people. The links should have provide for a general understanding of AI without going too deep into technical issues. Please contribute! 
 
+** Please only Resources with NO CODE**
+
 ## Online Material
 | Link to Issue  | Description  |
 |---|---| 
 | [AI4All](https://ai4all.docebosaas.com/learn) | AI 4 All is a resource for AI facilitators to bring AI to scholars and students |
 | [Elements of AI](https://www.elementsofai.com/) | Elements of AI is a free open online course to teach AI principles  |
 | [Teachable Machine](https://teachablemachine.withgoogle.com/) | Use Teachable Machine to train a computer to recognize your own images, sounds, & poses |
+| [Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course/) | A Machine Learning crash course using Tensorflow APIs by Google|
+| [Machine Learning by Andrew Ng](https://www.coursera.org/learn/machine-learning) | A Machine Learning university course taught by Stanford's Andrew Ng hosted on Coursera |
 | [eCraft2Learn](https://ecraft2learn.github.io/ai/) | Resource and interactive space (Snap, a visual programming environment like Scratch) to learn how to create AI programs |
 | [LIAI](https://medium.com/autonomous-agents/laymans-intro-to-ai-and-neural-networks-ce074457d85a) | A detailed introduction to AI and neural networks |
 | [Layman's Intro](https://towardsdatascience.com/a-simple-layman-introduction-to-ai-bcf793be7b4a) | A layman's introduction to AI |
@@ -28,7 +32,7 @@ I am collecting material for teaching AI-related issues to non-tech people. The
 ## Book Resources
 | Author  | Book  | Personal Notes |
 |---|---|---|
-| Peter Harrington | Machine Learning in Action | (Source: https://github.com/kerasking/book-1/blob/master/ML%20Machine%20Learning%20in%20Action.pdf)| 
+|Peter Harrington | Machine Learning in Action | (Source: https://github.com/kerasking/book-1/blob/master/ML%20Machine%20Learning%20in%20Action.pdf)| 
 |---| Machine Learning |---|
 |---| Understanding Machine Learning From Theory to Algorithms |---|
 |---| Machine Learning Yearning |---|
@@ -38,5 +42,6 @@ I am collecting material for teaching AI-related issues to non-tech people. The
 |---| Deep Learning Book |---|
 |---| Reinforcement Learning: An Introduction |---|
 |---| Reinforcement Learning |---|
-| Stuart Russel & Peter Norvig | Artificial Intelligence: A Modern Approach, 3rd Edition | This is the prescribed text book for my Introduction to AI university course. It starts off explaining all the basics and definitions of what AI is, before launching into agents, algorithms, and how to apply them. Russel is from the University of California at Berkeley. Norvig is from Google.|
-
+|Ian Goodfellow and Yoshua Bengio and Aaron Courville| [Deep Learning Book](https://www.deeplearningbook.org/) |---|
+|Stuart Russel & Peter Norvig | Artificial Intelligence: A Modern Approach, 3rd Edition | This is the prescribed text book for my Introduction to AI university course. It starts off explaining all the basics and definitions of what AI is, before launching into agents, algorithms, and how to apply them. Russel is from the University of California at Berkeley. Norvig is from Google.|
+|Shai Shalev-Shwartz and Shai Ben-David| [Understanding Machine Learning From Theory to Algorithms](https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html) |---|
\ No newline at end of file