ISBN
9781784390365
Design, build, and deploy your own machine learning applications by leveraging key Java machine learning libraries :
If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. You should be familiar with Java programming and data mining concepts, but no prior experience with data mining packages is necessary.
Author/Authors: Kaluža, Boštjan
Pages: 258 | Published Date: 42489
Category: Data
ISBN
9781788398879
Unleash Google's Cloud Platform to build, train and optimize machine learning models :
This book is for data scientists, machine learning developers and AI developers who want to learn Google Cloud Platform services to build machine learning applications. Since the interaction with the Google ML platform is mostly done via the command line, the reader is supposed to have some familiarity with the bash shell and Python scripting. Some understanding of machine learning and data science concepts will be handy
Author/Authors: Ciaburro, Giuseppe | Ayyadevara, V Kishore
Pages: 500 | Published Date: 43220
Category: Data
ISBN
9781788998468
Build Android and iOS applications using TensorFlow Lite and Core ML :
Machine learning on mobile devices is the next big thing. This book presents the implementation of 7 practical, real-world projects that will teach you how to leverage TensorFlow Lite and Core ML to perform efficient machine learning on a cross-platform mobile OS. You will get to work on image, text, and video datasets through these projects.
Author/Authors: NG, Karthikeyan
Pages: 246 | Published Date: 43404
Category: Data
ISBN
9781788398893
Practical, hands-on solutions in Python to overcome any problem in Machine Learning :
This book is for the intermediate users such as machine learning engineers, data engineers, data scientists, and more, who want to solve simple to complex machine learning problems in their day-to-day work and build powerful and efficient machine learning models. A basic understanding of the machine learning concepts and some experience with Python programming is all you need to get started with this book.
Author/Authors: Thanaki, Jalaj
Pages: 566 | Published Date: 43217
Category: Data
ISBN
9781789809572
Explore the power of cloud services for your machine learning and artificial intelligence projects :
In this book, you will learn about the various artificial intelligence and machine learning services available on AWS. Through practical hands-on exercises, you’ll learn how to use these services to generate impressive results. By the end of this book, you will have a basic understanding of how to use a wide range of AWS services in your own projects.
Author/Authors: Jackovich, Jeffrey | Richards, Ruze
Pages: 254 | Published Date: 43412
Category: Data
ISBN
9781788835596
Leverage the power of Apple's Core ML to create smart iOS apps :
Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers.
Author/Authors: Newnham, Joshua
Pages: 378 | Published Date: 43279
Category: Data
ISBN
9781785883903
Build simple, maintainable, and easy to deploy machine learning applications. :
This book is for Go developers who are familiar with the Go syntax and can develop, build, and run basic Go programs. If you want to explore the field of machine learning and you love Go, then this book is for you! Machine Learning with Go will give readers the practical skills to perform the most common machine learning tasks with Go. Familiarity with some statistics and math topics is necessary.
Author/Authors: Whitenack, Daniel
Pages: 304 | Published Date: 43004
Category: Data
ISBN
9781782162155
Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications :
Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.
Author/Authors: Lantz, Brett
Pages: 396 | Published Date: 41572
Category: Data
ISBN
9781784394523
Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R :
Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.
Author/Authors: Lantz, Brett
Pages: 452 | Published Date: 42216
Category: Data
ISBN
9781783982059
Explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code :
If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless of your level of experience, this book covers the basics of applying R to machine learning through to advanced techniques. While it is helpful if you are familiar with basic programming or machine learning concepts, you do not require prior experience to benefit from this book.
Author/Authors: (DavidChiu), Yu-Wei Chiu
Pages: 442 | Published Date: 42089
Category: Data
ISBN
9781787287808
Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code :
This book is for data science professionals, data analysts, or people who have used R for data analysis and machine learning who now wish to become the go-to person for machine learning with R. Those who wish to improve the efficiency of their machine learning models and need to work with different kinds of data set will find this book very insightful.
Author/Authors: Bhatia, AshishSingh | Chiu (David Chiu)
Pages: 572 | Published Date: 43031
Category: Data
