How to learn machine learning? Road map.

Hello. Once you've given this question, I'm here and really glad to help you out.
Normally, the university course of AI and machine learning, in the most cases, includes such topics as a case study:

Unit #1: Data mining algorithms:

1. K-Means clustering algorithm;
2. Similarity and likelihood assessment algorithms (Euclidean distance, Pearson
correlation, probabilistic,...);
3. Bayesian Theory (Bayesian Classifier Algorithm + Bayesian Prediction Networks);
4. Singular Values Decomposition Algorithm (classical SVD and SVD++);
5. Various of other algorithms such as a rolling-average computation algorithm;

Unit #2: AI Machine Learning algorithms:

1. Artificial Neural Networks (ANNs):
1.1. Feed-Forward and Back-propagation learning procedures;
1.2. Forward-propagation neural networks;

2. Genetic and Evolutionary Algorithms:
2.1. Genetic evolutionary search algorithm;
2.2. Classical Genetic algorithms essentials:
2.2.1. Find a function's extrema;
2.2.2. Diophantine equations solving;
2.2.3. Numerical Approximation;

Unit #3:

1. Various AI and machine learning applied-specific materials such as
Algorithmic trading, e-commerce tools and components, social media, etc.

Here're a couple of AI and machine learning large guidelines you can check with:

1. Artificial Intelligence Modern Aporoach, written by head of Google Research Center Information Retrieval by Manning, and Big data analysis;
2. Linear Algebra by Tyrtyshnikov;

Here's a list of my own AI and machine learning publications:

"Birds of a Feather stick together" To Produce Users-To-Items Recommendations In JavaScript[^]

Naїve Bayesian Anti-Spam Filter Using Node.JS, JavaScript And Ajax Requests[^]

C#.NET: Implementing SVD++ AI Data Mining Algorithm To Produce Recommendations Based On Ratings Prediction[^]

C#.NET Implementation of K-Means Clustering Algorithm to Produce Recommendations[^]

Implementing K-Means Image Segmentation Algorithm[^]

Implementing AI Evolutionary binary distribution algorithm for solving the numeric approximation problem[^]

Also, do a search to CodeProject's website and find articles published by Mahsa Hassankashi:
Mahsa Hassankashi - Professional Profile[^]

That's all. Good Luck :)