Python Machine Learning

by Sebastian Raschka and Vahid Mirjalili, Sebastian Raschka Vahid Mirjalili
Python Machine Learning cover
Good Books rating 3.83
Technology and Innovation
Buy online
Amazon
Format/Price Check
Technical
  • ID: 5231
  • Added: 2025-10-22
  • Updated: 2025-12-22
  • ISBN: 9781787126022
  • Publisher: Packt Publishing Ltd
  • Published: 2017-09-20
  • Reviews: 3

Python Machine Learning is a comprehensive guide that unlocks modern machine learning and deep learning techniques using Python. This second edition of the bestselling book provides a practical approach to key frameworks in data science, machine learning, and deep learning. It harnesses the power of the latest Python open-source libraries, offering insights into machine learning techniques using real-world data. The book covers a wide range of topics, from understanding key frameworks to mastering deep neural network implementation using TensorFlow. It also delves into classification algorithms, regression analysis, clustering, and sentiment analysis, making it an essential resource for developers and data scientists. The authors, Sebastian Raschka and Vahid Mirjalili, provide unique insights and expertise, introducing machine learning and deep learning algorithms from scratch and showing how to apply them to practical industry challenges. By the end of the book, readers will be ready to meet the new data analysis opportunities in today's world. The book takes a practical, hands-on coding approach, moving fluently between theoretical principles and practical implementation with Python. It is ideal for those who want to start from scratch or extend their machine learning knowledge, offering a balance of classical ideas and modern insights into machine learning.

Reviews
bookschatter.com · Unknown · 2025-10-24
so so 3.00

The book explores the theme of striving for a perfect life and the lessons learned along the way. It offers an entertaining read with a flirty romance and insights into the value of friendship, but it may not fully satisfy those looking for deeper character development or more authentic humor.

My Not So Perfect Life by Sophie Kinsella is a humorous novel that delves into the search for the 'perfect' life. The story follows Katie Brenner, a young woman trying to make it in London while projecting a glamorous life on social media. The book highlights the contrast between the idealized life we present online and the reality we live. Katie's journey is filled with lessons about life, love, and friendship, making it an entertaining read. However, the romance lacks depth, and some humorous scenes feel contrived. The supporting characters, such as Katie's parents, add warmth and tenderness to the story. The dichotomy between city and country life is well-explored, and the concept of a farm stay is a refreshing addition. While the book offers valuable insights and moments of humor, it may not fully satisfy those looking for a more profound narrative or more authentic comedic elements. Overall, it's a novel ideally suited to fans of chick lit.

Quick quotes

    I liked the focus on the concept of a perfect life, through the main character in the novel, Katie’s instagram account and her general drive to achieve a so-called ideal life.

    The romance between Katie and her love interest was sweet, but it didn’t have much depth.

    The city versus country setting dichotomy was a good one and worked well in this novel.

goodreads.com · Unknown · 2025-10-24
great 4.00

The book provides a comprehensive introduction to machine learning with Python, covering a wide range of algorithms and techniques. It is praised for its practical approach and clear explanations, making it accessible for both beginners and intermediate learners.

Python Machine Learning is a well-structured guide that takes readers through the fundamentals of machine learning using Python. The book is filled with practical examples and code snippets, which help in understanding complex concepts. It covers a variety of algorithms, from supervised and unsupervised learning to deep learning, making it a valuable resource for anyone looking to get into the field. The author's clear and concise explanations make it easy to follow, even for those who are new to machine learning. However, some readers might find the pace a bit slow if they already have some experience with the subject.

Quick quotes

    The book is a great introduction to machine learning with Python.

    It covers a wide range of algorithms and techniques.

    The practical examples and code snippets are very helpful.

Inside AI News · 2020-02-19
excellent 4.50

The book is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial and a useful resource you'll keep coming back to.

This book is a fantastic resource for anyone looking to dive into machine learning and deep learning with Python. It's structured in a way that makes it accessible for beginners, but also provides enough depth to be useful for more experienced practitioners. The authors do a great job of explaining complex concepts in a clear and concise manner, making it a go-to resource for both learning and reference. The practical examples and exercises are particularly helpful in reinforcing the theoretical concepts.

Quick quotes

    The book is a comprehensive guide to machine learning and deep learning with Python.

    It acts as both a step-by-step tutorial and a useful resource you'll keep coming back to.

    The authors do a great job of explaining complex concepts in a clear and concise manner.

Appears in Lists