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Fundamentals of Machine Learning

Dive into Machine Learning Techniques with Practical Labs and Deep Learning Insights

Yiqiao Yin

Created by Yiqiao Yin

Explore the world of machine learning by mastering key algorithms and applying them in practical labs. You'll move from foundational concepts to advanced deep learning techniques, gaining hands-on experience with tools like neural networks and modern AI SDKs. Develop the skills needed to build and deploy real-world machine learning models.

Packt | Jan 2023 | 631 min

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LevelBeginner
CategoriesData Science, Supervised and Unsupervised Learning Techniques

What You Will Learn

You will start by learning the theory behind core algorithms, then immediately put your knowledge into practice through hands-on labs. Each step reinforces your understanding as you implement models, analyze results, and experiment with advanced AI tools. This approach ensures you gain both the confidence and competence to solve real problems.

Key Features

  • Build and evaluate machine learning models using real-world datasets and scenarios
  • Apply deep learning techniques with neural networks and convolutional neural networks
  • Leverage AI tools such as OpenAI SDK and LangChain for advanced model deployment

Target Audience

Ideal for data scientists, software engineers, and AI enthusiasts who want to deepen their machine learning expertise. If you have a basic grasp of Python and statistics and are eager to work on practical projects, you'll benefit from the structured path from foundational skills to advanced deep learning applications.

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