Topic

Machine Learning

8 courses·EN

Explore how models learn from data, where different methods fit, and how common applications work.

Choose foundations before specialized topics such as computer vision or regularization. Generative AI provides a separate route through content-generating models.

A route through the topic

Start with the introductory explanation below, then choose a focused lesson for the task or question you want to explore.

Courses in this topic

Introduction to Machine Learning — digital-human course

Introduction to Machine Learning

This training introduces machine learning concepts and applications for beginners seeking foundational knowledge in data-driven model development.

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16 slides·32 min

Machine Learning with Python — digital-human course

Machine Learning with Python

This training teaches Python developers how to implement and evaluate core machine learning models using popular libraries. Learners will build practical skills in data preprocessing, model training, and performance assessment.

ENPDFPPTX

14 slides·28 min

Regularization in Machine Learning: Core Concepts — digital-human course

Regularization in Machine Learning: Core Concepts

Learn fundamental concepts of regularization in machine learning, including its purpose and practical examples to improve model generalization and prevent overfitting.

ENPDFPPTX

14 slides·28 min

How Recommendation Systems Work — digital-human course

How Recommendation Systems Work

This training explains how recommendation systems work and who they are designed for, helping learners understand the core algorithms and evaluation methods used to personalize user experiences.

ENPDFPPTX

13 slides·26 min

Introduction to Computer Vision — digital-human course

Introduction to Computer Vision

This training introduces computer vision concepts and techniques for beginners, covering key applications and foundational skills in image analysis.

ENPDFPPTX

15 slides·30 min

Quantum Machine Learning Essentials — digital-human course

Quantum Machine Learning Essentials

An introduction to quantum machine learning, covering core quantum computing principles and their application to classical ML algorithms for technical professionals.

ENPPTX

14 slides·28 min

Pattern Recognition and Machine Learning — digital-human course

Pattern Recognition and Machine Learning

This training introduces pattern recognition and machine learning, covering core concepts and methods for learners to build and apply models to real-world data.

ENPDFPPTX

14 slides·28 min

Raspberry Pi Machine Learning Workflow — digital-human course

Raspberry Pi Machine Learning Workflow

Learn how to set up a Raspberry Pi for machine learning and deploy practical ML models through a hands-on workflow. Ideal for beginners and makers with basic Python knowledge.

EN

14 slides·28 min

Machine Learning Courses | PersonWise