All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Machine Learning with Go Quick Start Guide

You're reading from Machine Learning with Go Quick Start Guide

Product type Book

Published in May 2019

Publisher Packt

ISBN-13 9781838550356

Pages 168 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Michael Bironneau

Toby Coleman

View More author details

Table of Contents (9) Chapters

Preface

1. Introducing Machine Learning with Go

2. Setting Up the Development Environment

3. Supervised Learning

4. Unsupervised Learning

5. Using Pretrained Models

6. Deploying Machine Learning Applications

7. Conclusion - Successful ML Projects

8. Other Books You May Enjoy

Leave a review - let other readers know what you think

Further readings

Keras GitHub repository: https://github.com/keras-team/keras. Retrieved April 30, 2019.
GitHub search for keras: https://github.com/search?utf8=%E2%9C%93&q=keras&type=. Retrieved April 30, 2019.
GitHub content search for keras: https://github.com/search?q=keras&type=Code. Retrieved April 30, 2019.
Python is Becoming the World's Most Popular Coding Language, The Economist. July 26, 2018: https://www.economist.com/graphic-detail/2018/07/26/python-is-becoming-the-worlds-most-popular-coding-language. Retrieved April 30, 2019.
Using Python on Unix Platforms: https://docs.python.org/2/using/unix.html. Retrieved April 30, 2019.
JSON: https://www.json.org/. Retrieved April 30, 2019.
Cover Pages – SOAP: http://xml.coverpages.org/soap.html. Retrieved April 30, 2019.
TensorFlow Core: https://www.tensorflow.org/overview/. Retrieved April...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $15.99/month. Cancel anytime}

Authors (2)

Michael Bironneau

Michael Bironneau is an award-winning mathematician and experienced software engineer. He holds a PhD in mathematics from Loughborough University and has worked in several data science and software development roles. He is currently technical director of the energy AI technology company, Open Energi.

See other products by Michael Bironneau

Toby Coleman

Toby Coleman is an experienced data science and machine learning practitioner. Following degrees from Cambridge University and Imperial College London, he has worked on the application of data science techniques in the banking and energy sectors. Recently, he held the position of innovation director at cleantech SME Open Energi, and currently provides machine learning consultancy to start-up businesses.

See other products by Toby Coleman

Other recommended products

Related to this chapter

Machine Learning With Go

Machine Learning With Go

Machine Learning With Go, Second edition develops the reader to build productive, innovative machine learning systems by leveraging Go and its popular machine learning packages. You will learn regression, classification, clustering, use of neural networks in predictive models and different types of time series and unstructured datasets

Apr 2019 10 hours 56 minutes

Automated Machine Learning

Automated Machine Learning

This guide will help you to explore automated machine learning (AutoML), a rapidly growing subfield of machine learning. You’ll learn how you can use AutoML to fully automate the machine learning process even if you’re not an expert, and in turn increase your productivity drastically.

Feb 2021 10 hours 24 minutes

Machine Learning With Go

Machine Learning With Go

The mission of this book is to turn readers into productive, innovative data analysts who leverage Go to build robust and valuable applications. To this end, the book clearly introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real world scenarios Data scientists and analysts are unfortunately known for producing bad, inefficient, and unmaintainable code. This book will address this issue, and will clearly show readers how to be productive with machine learning while also producing application maintaining a high level of integrity. It will also allow readers to overcome the common challenges of integrating analysis and machine learning code within an existing engineering organization.

Sep 2017 10 hours 8 minutes

Hands-On Machine Learning with TensorFlow.js

Hands-On Machine Learning with TensorFlow.js

Hands-On Machine Learning with TensorFlow.js is a comprehensive guide that will help you easily get started with machine learning algorithms and techniques using TensorFlow.js. By the end of this book, you will be able to create and optimize your own web-based machine learning applications using practical examples.

Nov 2019 9 hours 52 minutes

Engineering MLOps

Engineering MLOps

Get to grips with ML lifecycle management and MLOps implementation for your organization. This book will give you comprehensive insights into MLOps coupled with real-world examples in Azure that will teach you how to write programs, train robust and scalable ML models, and build ML pipelines to train, deploy, and monitor models securely in production.

Apr 2021 12 hours 20 minutes

Go Machine Learning Projects

Go Machine Learning Projects

Go is a highly preferred language for machine learning. The code is close to how it’s actually executed in the machine. Over the course of this book, you will learn how to express complex ideas found in machine learning literature and implement them. You will also learn how to structure problems to solve them using machine learning with Go.

Nov 2018 11 hours 36 minutes

Deep Learning with PyTorch Quick Start Guide

Deep Learning with PyTorch Quick Start Guide

PyTorch is extremely powerful and yet easy to learn. It provides advanced features such as supporting multiprocessor, distributed and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power.

Dec 2018 5 hours 16 minutes

Hands-on Machine Learning with JavaScript

Hands-on Machine Learning with JavaScript

This book demonstrates various machine learning techniques and their implementation in JavaScript. Build models to power your applications with smart, predictive features. From predicting future prices, analyzing sentiments to medical diagnosis, this book shows you how to use the power of JavaScript to build efficient machine learning systems.

May 2018 11 hours 52 minutes

Personalised recommendations for you

Based on your interests and search pattern

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

Aug 2023 7 hours 40 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

Aug 2023 22 hours 48 minutes

Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

Sep 2023 8 hours 36 minutes

Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

Sep 2023 8 hours 36 minutes

Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

Oct 2023 21 hours 12 minutes

Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

Aug 2023 14 hours 0 minutes

Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

Dec 2023 8 hours 0 minutes

TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

Nov 2023 22 hours 8 minutes