Mastering Machine Learning Theory and Practice

Mastering Machine Learning Theory and Practice

Beginner

96 Lessons

36h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

109 Playgrounds
10 Quizzes

This course includes

109 Playgrounds
10 Quizzes

Course Overview

The machine learning field is rapidly advancing today due to the availability of large datasets and the ability to process big data efficiently. Moreover, several new techniques have produced groundbreaking results for standard machine learning problems. This course provides a detailed description of different machine learning algorithms and techniques, including regression, deep learning, reinforcement learning, Bayes nets, support vector machines (SVMs), and decision trees. The course also offers suffici...Show More

What You'll Learn

An understanding of the foundations of machine learning and scientific modeling

A working knowledge of deep learning models including MLPs, CNNs, and RNNs

Familiarity with traditional machine learning methods including regression, SVMs, and decision trees

An understanding of the proper application of these methods

Hands-on experience with implementing various machine learning models using sklearn and Keras

What You'll Learn

An understanding of the foundations of machine learning and scientific modeling

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Course Content

1.

Getting started

2.

Introduction

3.

Scientific Programming with Python

4.

Machine Learning with Sklearn

5.

Neural Networks and Keras

6.

Regression and Optimization

11 Lessons

7.

Basic Probability Theory

8 Lessons

8.

Probabilistic Regression and Bayes Nets

7 Lessons

9.

Generative Models

10 Lessons

10.

Cyclic Models and Recurrent Neural Networks

9 Lessons

11.

Reinforcement Learning

8 Lessons

12.

Artificial intelligence, the Brain, and Our Society

4 Lessons

13.

Conclusion

2 Lessons

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Front-end Developer

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Emma Bostian 🐞

@EmmaBostian

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