AI Saturdays Lesson Plan Here are learning roadmaps organised in weeks. Each week consists of lecture videos, reading materials and programming assignments. Feel free to head to the A ​ I6 forums​ to discuss or ask questions you might have. Machine Learning from Scratch This is for anyone who wants to learn Machine Learning or TensorFlow. The only prerequisite is high school math and a ton of passion. We will follow ​Machine Learning Crash Course​ by Google - it breaks down concepts of Machine Learning in fun, bite-sized portions and provides thoughtful exercises to deepen your understanding. Timeline Learning material Assignments Week 1/ Week of 4 August 2018 Prerequisites: Linear Algebra Assignments and readings Week 2/ Week of 11 August 2018 Khan academy Linear Algebra​ (​Finish Complete Still hungry for more? Try ​Essence of linear algebra Vectors and Spaces and Matrix Transformations modules) Prerequisites: Python basics For those ​without​ any programming experience: Automate the boring stuff with python: Chapter 0 Python for Data Science​ (7 hours) Finish 5 python exercises ​here (solutions provided) For those ​with​ programming experience: Automate the boring stuff with python: Chapters 1 - 5 Week 3/ Week of 18 August 2018 Prerequisites: Python advanced Week 4/ Week of 25 A Byte of Python ebook: O ​ bject oriented programming Udemy Numpy stack in Python​: Numpy, Matplotlib, Scipy, Pandas MIT Course Object Oriented Programming Recommended reading: Machine Learning is Fun! Replicate the codes in “A Byte of Python” Create a Cheat Sheet summarising all that you have learnt about Python. Complete “Check Your Understanding” August 2018 Week 5/ Week of 1 September 2018 Machine Learning Crash Course by Google: Introduction to ML Framing Descending into ML Machine Learning Crash Course by Google​: Reducing Loss Discuss: Artificial Intelligence, Machine Learning, Deep Learning, Data Science Complete “Check Your Un

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