Learning plan cover

machine learning

LEARNING PLAN

machine learning

Machine learning is revolutionizing how organizations make decisions, automate processes, and extract insights from data. This learning plan equips professionals from technical backgrounds to understand and implement ML solutions, providing the knowledge needed to advance in data science, AI development, or technical leadership roles.

ByCommunity User
1 h 34 m
8 coursesUpdated 10 hours ago
Hands-On Machine Learning with Scikit-Learn and TensorFlowDemystifying Machine LearningThe Master Algorithm8 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed’s proprietary AI to help you learn machine learning with ease. It is curated from in-depth research on the topic and structured around the most effective learning journeys proven by BeFreed users.

Each episode delivers bite-sized, high-impact lessons distilled from world-class sources — bestselling books, research papers, and expert insights. Together, they form a sophisticated yet accessible path to mastering machine learning.

What You'll Learn

  • Master core machine learning concepts, algorithms, and programming tools
  • Implement machine learning algorithms to solve real-world data problems
  • Build advanced neural networks and deep learning applications
  • Apply machine learning to solve business challenges across industries
  • Develop the skills to design and deploy effective ML solutions

Master the core concepts, algorithms, and programming tools that form the foundation of machine learning, providing you with a solid framework to build upon.

Hands-On Machine Learning with Scikit-Learn and TensorFlow cover
Hands-On Machine Learning with Scikit-Learn and TensorFlow

Step-by-step guide to machine learning with Python

8 m
podcast cover
Hands-On Machine Learning with Scikit-Learn and TensorFlowMake Your Own Neural NetworkPython CookbookPython Programming for Beginners
18 sources
Demystifying Machine Learning

Explore machine learning beyond the buzzword, from its surprising 1959 origins to modern applications. Learn how computers make decisions without explicit programming and why it's revolutionizing technology.

28 m

Deepen your understanding of machine learning algorithms and learn how to implement them effectively to solve real-world data problems.

The Master Algorithm cover
The Master Algorithm

An illuminating exploration of machine learning's potential to revolutionize our world through a unified, all-powerful algorithm.

10 m
Algorithms + Data Structures  eq  Programs cover
Algorithms + Data Structures eq Programs

Exploring the interplay between algorithms and data structures in programming.

10 m

Explore the cutting-edge techniques in deep learning and neural networks that power today's most sophisticated AI applications.

Make Your Own Neural Network cover
Make Your Own Neural Network

Step-by-step guide to building neural networks for beginners.

8 m
podcast cover
source 1Fundamentals of Artificial Neural Networks and Deep LearningNeural Networks and Deep Learning: A Comprehensive Introductionsource 4
6 sources
Neural Networks: From Brain Biology to AI Revolution

Discover how artificial neural networks mimic human brains to power everything from face recognition to self-driving cars. Learn the elegant math behind machine intelligence and explore real-world applications transforming our daily lives.

11 m

Apply your machine learning knowledge to solve real business problems and understand how ML is transforming industries across the globe.

Artificial Intelligence and Machine Learning for Business cover
Artificial Intelligence and Machine Learning for Business

Practical guide to AI and ML in business, cutting through hype and jargon.

9 m
podcast cover
A Survey on Post-training of Large Language ModelsFine-tuning large language models for domain adaptation - NatureFine-tuning and Utilization Methods of Domain-specific LLMsPEFT, LoRA & QLoRA: Smarter, Faster Fine-Tuning for Domain LLMs
6 sources
AI Post-Training for Real-World Applications

Discover how businesses are transforming AI models for specific needs through parameter-efficient fine-tuning, domain adaptation, and practical implementation strategies that deliver measurable results.

10 m

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