Sunday, 14 January 2018

Best 23 Easy Tutorials on Artificial Intelligence, Pattern Recognition and Machine Learning

I have made a list of the best 20 easy lessons of various topic of Machine Learning, Pattern Recognition and Artificial Intelligence.

Why I rate these tutorials high is the ease to understand as well as the clarity in the explanation of the concepts. With this tutorials, many students have come to easily understand fir the first time the concept of Perceptron, Clustering, Supervised vs Unsupervised Learning, Dimensionality Reduction, Neural Networks etc.
So check them out below. You can bookmark this page as you will find it helpful.


Key Concepts in Machine Learning
  1. Introduction to Machine Learning
  2. Difference between Classification and Clustering in Machine Learning
  3. Maximum Likelihood Estimation (MLE) in Machine Learning
  4. Outlier Detection Techniques in Statistics and Machine Learning
  5. Introduction to Recommender Systems
  6. Difference Between Supervised Learning and Unsupervised Learning
  7. Bias/Variance Trade-off in Machine Learning
  8. Introduction to Support Vector Machines (SVM)


Supervised Learning Concepts
  1. What is the Difference Between Classification and Regression
  2. Linear Models for Regression(Linear Basis Function Models)
  3. What is Overfitting in Linear Regression and Machine Learning
  4. Difference between Classification and Clustering in Machine Learning


Artificial Neural Networks
  1. Basics of Neural Networks in AI Artificial Intelligence
  2. What is Activation Functions in Neural Networks
  3. Basics of Backpropagation  in Neural Networks
  4. A Simple Explanation of Multilayer Perceptron
  5. What is Gradient-Decent in Neural Networks
  6. What is Perceptron? How Does Perceptron Work?


Unsupervised Learning Concepts
  1. What is K-Means Clustering in Machine Learning?
  2. Dimensionality Reduction and Principal Components Analysis(PCA)
  3. Basics of Decision Theory in Machine Learning
  4. Difference between Classification and Clustering in Machine Learning


Other AI Topics 
  1. Sophia the Robot is not Who She Claims to be
  2. Intelligent Data Analytics Questions and Answers Summary (2017)