Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems

Aurélien Géron

Key Insights from the Book:

  1. Practical introduction to Machine Learning: The book provides a hands-on approach to learning machine learning, emphasizing practical implementation over theoretical understanding.
  2. Focus on Scikit-Learn, Keras, and TensorFlow: These three libraries are some of the most popular tools in the field of machine learning and deep learning. The book provides detailed instruction on how to use them effectively.
  3. End-to-end Machine Learning Project: The book walks the reader through a complete machine learning project, from gathering the data to training the model and evaluating its performance.
  4. Deep Learning Techniques: The book covers a variety of deep...

    Please log in or register to view the full book summary.

Please log in or register to view the video summary.

Annemarie Paul
🤍
Not available
Certified
5.5

Annemarie Paul DE

Senior Data Scientist, Kuehne + Nagel
Mohammad Arshad Ahmad
🤍
Not available
Outstanding
5.0

Mohammad Arshad Ahmad AE

Lead Data Scientist, Majid Al Futtaim
SARA EL-ATEIF
🤍
Not available
5.8

SARA EL-ATEIF MA

ML GDE - Possibilities/AI for Businesses Coach, SEA
Salman Khan
🤍
Available
5.9

Salman Khan GB

Data Science/AI