Mastering Machine Learning Algorithms, 2nd Edition
Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work
| Price | $40.49
|
| Rating |   |
| Author | Giuseppe Bonaccorso |
| Publisher | Packt Publishing |
| Published | 2020 |
| Pages | 798 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1838820299 |
| ISBN-13 | 9781838820299 |
Mastering Machine Learning Algorithms, 2nd Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains.
You will use all the modern libraries from the Python ecosystem - including NumPy and Keras - to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks.
By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios.
- Giuseppe Bonaccorso (3 books)
4 5 7
Similar Books
Mastering Machine Learning Algorithms
by Giuseppe Bonaccorso
Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018
TensorFlow Machine Learning Cookbook, 2nd Edition
by Nick McClure
TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before.With the help of this book, you will work with recipes for training models, model...
Price: $34.92 | Publisher: Packt Publishing | Release: 2018
An Introduction to the Analysis of Algorithms, 2nd Edition
by Robert Sedgewick, Philippe Flajolet
Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, 2ond Edition, organizes and presents that knowledge, fully introducing primary techniques and results in th...
Price: $62.99 | Publisher: Addison-Wesley | Release: 2013
Mastering Azure Machine Learning, 2nd Edition
by Christoph Korner, Marcel Alsdorf
Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logg...
Price: $41.99 | Publisher: Packt Publishing | Release: 2022
Machine Learning with R, 2nd Edition
by Brett Lantz
Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms an...
Price: $39.99 | Publisher: Packt Publishing | Release: 2015
Data Science Algorithms in a Week, 2nd Edition
by David Natingga
Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical a...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Python Machine Learning, 3rd Edition
by Sebastian Raschka, Vahid Mirjalili
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and working examples, the book covers all the...
Price: $35.99 | Publisher: Packt Publishing | Release: 2019
by Drew Conway, John Myles White
If you're an experienced programmer interested in crunching data, this book will get you started with machine learning - a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of ha...
Price: $18.12 | Publisher: O'Reilly Media | Release: 2012