ISBN
9781789130270
Build powerful models with cognitive machine learning and artificial intelligence :
This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.
Author/Authors: Abraham, Thomas K | Shah, Parashar
Pages: 340 | Published Date: 43404
Category: Data
ISBN
9781788995245
Explore supervised and unsupervised learning techniques and add smart features to your applications :
Hands-On Machine Learning with C#is forC# .NETdevelopers who work on a range of platforms from .NET and Windows to mobile devices. Basic knowledge of statistics is required.
Author/Authors: Cole, Matt R.
Pages: 350 | Published Date: 43245
Category: Data
ISBN
9781788990301
A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript :
This book is for you if you are a JavaScript developer who wants to implement machine learning to make applications smarter, gain insightful information from the data, and enter the field of machine learning without switching to another language. Working knowledge of JavaScript language is expected to get the most out of the book.
Author/Authors: Kanber, Burak
Pages: 356 | Published Date: 43249
Category: Data
ISBN
9781788629331
Implement probabilistic models for learning complex data sequences using the Python ecosystem :
This book will help you become familiar with HMMs and different inference algorithms by working on real-world problems. You will start with an introduction to the basic concepts of Markov chains, Markov processes and then delve deeper into understanding hidden Markov models and its types using practical examples.
Author/Authors: Ankan, Ankur | Panda, Abinash
Pages: 178 | Published Date: 43370
Category: Data
ISBN
9781789533767
Build enterprise-grade microservice ecosystems with intensive case studies using C# :
C# is a powerful language when it comes to building applications and software architecture using rich libraries and tools such as .NET. This book will harness the strength of C# in developing microservices architectures and applications. This book shows developers how to develop an enterprise-grade, event-driven, asynchronous, message-based microservice framework using C#, .NET, and various open source tools. We will discuss how to send and receive messages, how to design many types of microservice that are truly usable in a corporate environment. We will also dissect each case and explain the code, best practices, pros and cons, and more. Through our journey, we will use many open source tools, and create file monitors, a machine learning microservice, a quantitative financial microservice that can handle bonds and credit default swaps, a deployment microservice to show you how to better manage your deployments, and memory, health status, and other microservices. By the end of this book, you will have a complete microservice ecosystem you can place into production or customize in no time.
Author/Authors: Cole, Matt R.
Pages: 254 | Published Date: 43280
Category: Web Development
