Third edition of Hands on Machine Learning to be released soon. Here are the changes made in Third Edition

Hands on Machine Learning with Scikit Learn, Keras and Tensorflow by Aurelien Geron is arguably one of the most popular books with people who are planning to step into the field of Machine Learning and Deep Learning while also being informative enough for people who have been in the field for some time. Two editions of the book have been released so far, the first edition concerned itself with tools commonly used in Machine Learning landscapes such as Scikit Learn and Tensorflow 1.0. The second edition of the book however moved from Tensorflow 1.0 to Tensorflow 2.0 and Keras while also using Scikit Learn for training Machine Learning models.

Hands on Machine Learning Third Edition. — Second Edition of Hands on Machine Learning with Scikit Learn, Keras, and Tensorflow.

Aurelien Geron has been quite vocal on Twitter about the third edition of the Hands on Machine Learning being a Work in Progress for quite some time. Recently, the third edition of the book was announced by Aurelien Geron himself.

While the first two editions of the book were absolutely amazing in covering both, the depth and the breadth of the various topics in the field of Machine Learning and Deep Learning. The third edition of Hands on Machine Learning also looks quite promising as it covers the recent advances in the field of Deep Learning.

Here is what to expect from the third edition of Hands on Machine Learning and how it differs from the second edition of the book-

Plenty of changes have been made to the Python Libraries since the release of the second edition. These include changes in the API and new features. The third edition of the book has updated all the examples to accommodate for the changes in these libraries.
There has been a huge improvement in Convolutional Neural Networks and Image Recognition since the second edition was published. The third edition of the book covers the improvements in the field since the second edition of the book. This includes vision models like ResNeXt, DenseNet, MobileNet, CSPNet, and EfficientNet.
Vision models are not the area of Deep Learning that has seen tremendous improvements. Natural Language Processing or NLP has also seen some amazing improvements with the Transformer Architecture. Chapter 16 of the book on Natural Language Processing also includes modules about Switch Transformers, DistilBERT, T5, and PaLM.
Talking about Transformers, they can also prove to be useful in computer vision and multi-modal learning. Chapter 16 also includes modules on Vision Transformers such as ViT, DEtection TRansformer (DETR), Perceiver, DINO, and Multi-modal Transformers such as CLIP, DALL·E, Flamingo, and GATO.
Generative Models and Generative Adversarial Networks or GANs were an addition to the second edition. The third edition of the book takes this forward by including diffusion models. Moreover, there is also an implementation of a Denoising Diffusion Probabilistic Model (DDPM) from scratch in Chapter 17 of the book on Generative Models.
No book on Machine Learning and Deep Learning is complete without covering the deployment of models. The Deployment of models is migrated from Google AI Platform to Google Vertex AI.
Chapter 19 of the book also includes Tensorflow JS for training models on the web. Additionally, it also covers distributed training techniques, including Pipedream and Pathways.
Minor changes are present in the book with respect to building projects. Chapter 15 on Sequential Data which earlier used generated data now uses the Chicago bus and rail ridership data. Similarly, Chapter 15 on Natural Language Processing now builds an English-to-Spanish translation model, first using an encoder-decoder RNN, then using a Transformer model.

While the Early Release of the third edition of Hands on Machine Learning is available on O’Reilly’s platform, the physical copies of the book aren’t here yet. You can however pre-order the book on Amazon!

Pre-order the book on Amazon, here.

Read it on O’Reilly, here.

Order the Second Edition on Amazon

Order the Second Edition on Amazon, Flipkart.(For Indian Audience Only)

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