Is “Machine Learning with Python” by Oliver Theobald Still Free?

No. The free offer for Oliver Theobald’s Machine Learning with Python: Unlocking AI Potential with Python and Machine Learning expired on August 21, 2024. BetaNews announced the promotion on August 11, 2024; Packt’s current product pages list the book’s purchasable editions rather than that expired giveaway. Read the original BetaNews offer.

What book was the offer for?

The promotion covered Oliver Theobald’s Packt book Machine Learning with Python: Unlocking AI Potential with Python and Machine Learning. It is a book, not a generic Python course. Packt describes it as a practical introduction to machine-learning libraries and workflows, with topics ranging from exploratory data analysis and data scrubbing to model validation and common classical machine-learning methods. Packt’s ebook page lists linear and logistic regression, support vector machines, k-nearest neighbors, and tree-based methods among the topics.

#	Preview	Product	Price
1		Introduction to Machine Learning with Python: A Guide for Data Scientists	$33.05	Buy on Amazon
2		Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models...	$34.23	Buy on Amazon
3		Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases	$29.55	Buy on Amazon
4		Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and...	$38.56	Buy on Amazon
5		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques...	$49.50	Buy on Amazon

What does the book cover, and who might find it useful?

Packt identifies aspiring data scientists and professionals integrating machine learning into their work as its intended readers. The publisher says basic Python and statistics are beneficial background. The outline includes data preparation and validation alongside supervised-learning techniques, so readers should expect an introduction to workflows and methods rather than infer that the book guarantees a particular learning outcome or is comprehensive on every area of machine learning.

Packt lists the first edition at 146 pages and gives a March 2024 publication date. Those details describe the listed edition; page count alone does not establish the depth or suitability of the material for a particular reader. See Packt’s paperback listing.

#1 Best Overall

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Introduction to Machine Learning with Python: A Guide for Data Scientists

$33.05

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Which editions are available?

Choose based on whether you prefer print or digital reading. Packt’s listings distinguish the editions by ISBN, which is useful when checking that a retailer’s result is the format you intend to buy.

How can you check current availability and price?

The expired promotion does not establish today’s price or availability. Packt’s product pages list the paperback and ebook, but prices and regional availability can change. Google Play Books has also shown a listing with a free sample and a displayed price; that indexed price is a snapshot, not a guaranteed current price for every region. Check the Google Play Books listing.

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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

$34.23

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Before purchasing, compare the live listing with the relevant ISBN above and confirm the format, region, and displayed price. The cited sources confirm Packt editions; they do not establish a live Amazon listing or its price.

Quick Recap

SaleBestseller No. 1

Introduction to Machine Learning with Python: A Guide for Data Scientists

$33.05

SaleBestseller No. 2

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

$34.23

SaleBestseller No. 3

Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases

$29.55

SaleBestseller No. 4

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition

$38.56

SaleBestseller No. 5

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

Use scikit-learn to track an example ML project end to end

$49.50

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

• Use scikit-learn to track an example ML project end to end
• Explore several models, including support vector machines, decision trees, random forests, and ensemble methods
• Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection
• Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers
• Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning

$49.50

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Rank #4

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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition

$38.56

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Rank #3

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Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases

$29.55

Buy on Amazon

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.