AIStarurdaysKigali

Lessons plan for AI Saturdays Kigali

Some usefuls link for AI Saturdays Lessons and plans

The first 2 weeks we will learn Machine learning foundations.

• Linear Algebra
• Calculus
• Probabilty and statistics
• Introduction to python programming and datascience tools (pandas and numpy)

Week 1 : Linear ALgebra and Intro to python

Another preliminary video :

By siraj raval Motivation Video

Theorical session :

• Essence of linear algebra
• Khan academy Linear Algebra

Pratical Session :

• Azeez Blog For Python Tutorial
• Introduction to python
• Coding Problems to solve

Week 2 : Satistics and Probability and intro to Numpy and Pandas

Theorical session :

• Introduction to Statistics and Probability
• Another Intresting Video from Khan Academy
• check this one also

Practical Session

Main Tutorial

• Numpy tutorial
• Pandas Tutorial
• Quick Dive to pandas
• Pandas Exercices

Additional Ressources

• Be efficient in pandas
• Pandas Exercices
• Pandas for Datascience Exploratory data analysis 10 minutes to Pandas
• More advanced tutorials 1 and 2

Week 3 : Introduction to Machine learning

Pre-session:

• Answering question on previous sessions
• Discuss: Artificial Intelligence, Machine Learning, Deep Learning, Data Science

Theorical session :

• Machine Learning Crash Course by Google:

  • Introduction to ML

  • Framing

  • Descending into ML

Pratical session

• Dicussion about project we will work on

Week 4: Machine learning Reducing loss

Theorical Session:

Machine Learning Crash Course by Google Reducing Loss:

 - Reducing Loss

Practical session (Home work):

• Coding Linear regression from scratch ressource 1 ressource 2 ressource 3

Week 5 :

Theorical Session:

Machine Learning Crash Course by Google: First Steps with TensorFlow:

    -    First Steps with TensorFlow 

Practical session:

• Linear Regression With Tensorflow

Recommended readings :

• What are Machine Learning Frameworks

• Best Python libraries for Machine Learning and Data Science

• Tensorflow vs Keras scikit learn

• tensorflow vs Keras vs Pytorch

• A beginner introduction to tensorflow

Week 6 :

Theorical session :

• Generalization:

  -   Generalization
  
  -   Training and Test Sets Validation
  
  -   Representation 
  

Practical :

Complete “Check Your Understanding” and “Programming Exercises”, if any

Readings:

• Comming Soon

Week 7 :

Theorical session :

• Feature Crosses:

  -   Feature Crosses
  -   One Hot Vectors
  

Practical :

Feature set

Feature Crosses notebook

Week 8 :

Theorical session :

• Regularization:

  -   Regularization
  

• Logistic Regression Intro

Practical :

• Regularization
• Logistic Regression from scratch

Week 9 :

Theorical session:

• Andrew Ng Logistic Regression Video from Youtube

Practical :

• Logistic Regression Notebook
• Google Logistic Regression