The Machine Learning Mastery eBook Bundle

37 Reviews
You save 91%

What's Included

The Machine Learning Mastery eBook Bundle

The Machine Learning Mastery eBook Bundle


Machine learning is basically "learning from experience" applied to machines, systems, and programs. It lessens programming work and gives machines the ability to learn and improve. Packt Publishing provides you with 10 comprehensive eBooks to guide you from the basic to advanced level of machine learning. It will cover concepts, algorithms, and applications to help you improve on the field of machine learning.

Included eBooks

  1. Python Machine Learning (2nd Edition)
    • 622 pages; 18 hrs & 39 mins
    • Unlock modern machine learning & deep learning techniques w/ Python by using the latest cutting-edge open source Python libraries
  2. TensorFlow Machine Learning Cookbook
    • 370 pages; 11 hrs & 6 mins
    • Explore machine learning concepts using the latest numerical computing library: TensorFlow
  3. Hands-On Machine Learning for Algorithmic Trading
    • 684 pages; 20 hrs & 31 mins
    • Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras
  4. Advanced Machine Learning with Python
    • 278 pages; 8 hrs & 20 mins
    • Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
  5. Practical Machine Learning
    • 468 pages; 14 hrs & 2 mins
    • Learn how to build Machine Learning applications to solve real-world data analysis challenges
  6. Machine Learning for OpenCV
    • 382 pages; 11 hrs & 27 mins
    • Expand your OpenCV knowledge & master key concepts of machine learning
  7. Statistics for Machine Learning
    • 442 pages; 13 hrs & 15 mins
    • Build Machine Learning models w/ a sound statistical understanding
  8. Mastering Machine Learning Algorithms
    • 576 pages; 17 hrs & 16 min
    • Explore & master the most important algorithms for solving complex machine learning problems
  9. Machine Learning Algorithms
    • 360 pages; 10 hrs & 48 mins
    • Build strong foundation for entering the world of machine learning & data science
  10. Mastering Java Machine Learning
    • 556 pages; 16 hrs & 40 mins
    • Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning


System Requirements

  • Internet access

Important Details

  • Length of access: lifetime
  • Redemption deadline: redeem your code within 30 days of purchase
  • Access options: desktop & mobile
  • Updates included
  • Experience level required: all levels
  • Have questions on how digital purchases work? Learn more here


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
37 Reviews
4.3/ 5
All reviews are from verified purchasers collected after purchase.

Bakhtiyar Babashli

Verified Buyer

It is very useful to start learn from beginning. Machine learning has multi network and always require theory.

May 7, 2021

Dale Berisford

Verified Buyer

Just getting started with this bundle. Some titles seem to be a little old (2016) in the fast moving field of Machine Learning. Will definitely get some useful information from the set.

Feb 8, 2021

Ganga Tankasala

Verified Buyer

This bundle covers most of the Ml topics from basics to advanced topics like GANs, etc... A must-have collection for data scientists, AI/Ml engineers, and data scientists.

Dec 7, 2020
Dragan Škundrić profile picture

Dragan Škundrić

Verified Buyer

Easy purchase, very informative content. Being able to download content. This is what is important to me

Aug 14, 2020
Prakhar Agarwal profile picture

Prakhar Agarwal

Verified Buyer

These E-books provides you the in-depth knowledge and lays the foundation of the concepts. Worth to take it.

Aug 13, 2020

Vincent Brown

Verified Buyer

Each book in provided a very useful information pertaining to machine learning and data science. I was able to start applying what I learned shortly after reading just two of the books.

Jul 24, 2020
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