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Your Step-by-Step Machine Learning Journey

A comprehensive guide to help you become a successful Machine Learning Engineer from scratch.

Start the Journey

Introduction to Machine Learning

What is Machine Learning?

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Who is this for?

This roadmap is for anyone who wants to learn how to build and deploy machine learning models, from beginners to experienced software engineers.

Step-by-Step Roadmap

This section outlines the key steps and skills you need to acquire in a logical order, from foundational knowledge to advanced topics.

Phase 1: Foundations

Step 1: Math and Statistics

A strong foundation in math and statistics is essential for machine learning.

Linear Algebra Calculus Probability Statistics
Step 2: Programming

Learn a programming language commonly used in machine learning.

Python Python R

Phase 2: Core Machine Learning

Step 3: Machine Learning Concepts

Learn the fundamental concepts of machine learning.

Supervised Learning Unsupervised Learning Reinforcement Learning
Step 4: Machine Learning Libraries

Learn the popular libraries for machine learning.

Scikit-learn TensorFlow PyTorch

Phase 3: Specializations

Step 5: Choose a Specialization

Choose a specialization within machine learning.

Computer Vision Natural Language Processing Time Series Analysis

Project Ideas

Beginner

  • Predict house prices using linear regression.
  • Classify images of cats and dogs.

Intermediate

  • Build a movie recommendation system.
  • Perform sentiment analysis on social media data.

Advanced

  • Build a self-driving car simulation.
  • Create a chatbot that can answer questions about a specific topic.

Famous Courses

Here you can find a curated list of well-regarded courses to accelerate your learning.

Machine Learning Specialization

Coursera

Intro to Machine Learning with TensorFlow

Udacity

Artificial Intelligence (AI) MicroMasters Program

edX

Documentation Links

Essential documentation and official guides for key tools and technologies.

Scikit-learn Documentation

Official documentation for Scikit-learn.

TensorFlow Documentation

Official documentation for TensorFlow.

PyTorch Documentation

Official documentation for PyTorch.

YouTube Channels

Popular YouTube channels that provide tutorials and insights into the world of Machine Learning.

StatQuest with Josh Starmer

In-depth explanations of statistics and machine learning concepts.

3Blue1Brown

Visually-driven explanations of complex math topics.

sentdex

Tutorials on Python, machine learning, and more.

Ebooks

Recommended e-books and reading materials for a deeper understanding.

Deep Learning

A comprehensive book on deep learning.

Dive into Deep Learning

An interactive deep learning book with code, math, and discussions.