Python Machine Learning Projects
| eBook | Free |
| Rating |  |
| Authors | Lisa Tagliaferri, Michelle Morales, Ellie Birkbeck, Alvin Wan |
| Publisher | DigitalOcean |
| Published | 2019 |
| Pages | 135 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 099977302X |
| ISBN-13 | 9780999773024 |
As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions - sometimes without final input from humans who may be impacted by these findings - it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning to help ensure that it is serving us all.
This book will set you up with a Python programming environment if you don't have one already, then provide you with a conceptual understanding of machine learning in the chapter "An Introduction to Machine Learning." What follows next are three Python machine learning projects. They will help you create a machine learning classifier, build a neural network to recognize handwritten digits, and give you a background in deep reinforcement learning through building a bot for Atari.
- Lisa Tagliaferri (2 books)
- Michelle Morales
- Ellie Birkbeck
- Alvin Wan
Similar Books
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
Building Machine Learning Systems with Python, 2nd Edition
by Luis Pedro Coelho, Willi Richert
Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation. With its excellent collection of open source machine learn...
Price: $49.99 | Publisher: Packt Publishing | Release: 2015
Building Machine Learning Systems with Python, 3rd Edition
by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Xuanyi Chew
Go is the perfect language for machine learning; it helps to clearly describe complex algorithms, and also helps developers to understand how to run efficient optimized code. This book will teach you how to implement machine learning in Go to make programs that are easy to deploy and code that is not only easy to understand and debug, but...
Price: $44.88 | Publisher: Packt Publishing | Release: 2018
by Yoon Hyup Hwang
Machine learning is applied in almost all kinds of real-world surroundings and industries, right from medicine to advertising; from finance to scientifc research. This book will help you learn how to choose a model for your problem, how to evaluate the performance of your models, and how you can use C# to build machine learning models for...
Price: $41.63 | Publisher: Packt Publishing | Release: 2018
TensorFlow Machine Learning Projects
by Ankit Jain, Armando Fandango, Amita Kapoor
TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits - simplicity, efficiency, and flexibility - of using TensorFlow in various real-world projects. With the help of this book, you'll not only learn how to build advanced projects using different...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018
by Nick Pentreath
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2015
by Matthew Lamons, Rahul Kumar, Abhishek Nagaraja
Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping y...
Price: $16.45 | Publisher: Packt Publishing | Release: 2018