Machine Learning with Python Principles and Practical Techniques
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Description
Machine learning has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intelligence. This lucid textbook presents the theoretical foundations of machine learning algorithms, and then illustrates each concept with its detailed implementation in Python to allow beginners to effectively implement the principles in real-world applications. All major techniques, such as regression, classification, clustering, deep learning, and association mining, have been illustrated using step-by-step coding instructions…
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Key features
- Algorithms are explained in detail with examples with a step-by-step approach to make learning easy and simple, assuming no previously existing knowledge
- GitHub resources that provide access to datasets, sample code, and examples have been included in each chapter
- Advanced topics like Deep Learning, Convolutional Neural Networks, and Recurrent Neural Networks have been covered extensively
- An online supplements package includes a solutions manual and lecture slides for instructors, and further online reading and a chapter-wise list of project ideas for students
About the book
- Subjects Communications and Signal Processing,Computer Science,Engineering,Machine Learning and Pattern Recognition
- Format: Paperback
- Expected publication date: 30 September 2024
- ISBN: 9781009170246
- Dimensions (mm): 242 x 155 mm
- Page extent: 850 pages
- Availability: Not yet published - available from
- Format: Digital
- Expected publication date: 15 June 2024
- ISBN: 9781009170239