Machine Learning Handbook - Free AI-Powered Coding Courses

Gain insights into ML fundamentals, explore Python libraries, and delve into real-world applications like Tesla and ChatGPT. Discover traditional vs. deep learning for data-driven decision-making.

Beginner

12 Lessons

2h 30min

Certificate of Completion

Gain insights into ML fundamentals, explore Python libraries, and delve into real-world applications like Tesla and ChatGPT. Discover traditional vs. deep learning for data-driven decision-making.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

5 Playgrounds

This course includes

5 Playgrounds

Course Overview

This course offers a thorough initiation into the field of machine learning (ML), a branch of artificial intelligence focussing on creating and analyzing statistical algorithms capable of generalizing and executing tasks autonomously, without requiring explicit programming instructions. The course encompasses fundamental concepts showcasing the use of Python and its key libraries in practical coding examples. It delves into crucial areas, including an exploration of common libraries and tools used in ML t...Show More

What You'll Learn

An understanding of the fundamentals of machine learning (ML) in data-driven decision-making processes

Familiarity with essential libraries and tools used for data preprocessing

Knowledge of practical applications of ML in image processing, computer vision, text analysis, and natural language processing (NLP)

Proficiency in distinguishing between different types of ML approaches

An understanding of the distinctions between ML methodologies and its advanced concepts

What You'll Learn

An understanding of the fundamentals of machine learning (ML) in data-driven decision-making processes

Course Content

Introduction to Machine Learning

Get familiar with key machine learning concepts, its significance in industries, and data-driven decision-making.

Course Overview Overview of Machine Learning Machine Learning’s Significance in Data-Driven Decisions

Common Libraries and Tools for Machine Learning Tasks

Look at Python libraries and tools crucial for preprocessing and developing ML models.

Libraries for Machine Learning Tools for Data Preprocessing and Model Development

Types of Machine Learning

Master the steps to explore supervised, unsupervised, and reinforcement learning, and compare traditional machine learning with deep learning.

Supervised Learning Unsupervised Learning Reinforcement Learning Traditional Machine Learning vs. Deep Learning

Applications of Machine Learning

Grasp the fundamentals of machine learning applications like image processing, computer vision, and NLP.

Image Processing and Computer Vision Natural Language Processing (NLP)

The Way Forward

Take a look at the essentials of machine learning, from basics to advanced applications.

Conclusion

Fake News Detection Using Scikit-learn

Project

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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