《AI and Machine Learning for Coders》作者：Laurence Moroney【EPUB】

非鱼

简介：


If you’re looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

You’ll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.

You’ll learn:

How to build models with TensorFlow using skills that employers desireThe basics of machine learning by working with code samplesHow to implement computer vision, including feature detection in imagesHow to use NLP to tokenize and sequence words and sentencesMethods for embedding models in Android and iOSHow to serve models over the web and in the cloud with TensorFlow Serving



如果您想从程序员转变为 AI 专家，那么这是理想的起点。这本入门书以 Laurence Moroney 非常成功的 AI 课程为基础，提供了一种动手实践、代码优先的方法，可帮助您在学习关键主题时建立信心。


您将了解如何实现机器学习中最常见的场景，例如计算机视觉、自然语言处理 （NLP） 以及 Web、移动、云和嵌入式运行时的序列建模。大多数关于机器学习的书籍都从大量的高级数学开始。本指南基于实践经验构建，可让您直接使用代码。


您将了解：


如何使用雇主所需的技能通过 TensorFlow 构建模型通过代码示例进行机器学习的基础知识如何实现计算机视觉，包括图像中的特征检测如何使用 NLP 对单词和句子进行标记和排序在 Android 和 iOS 中嵌入模型的方法如何使用 TensorFlow Serving 在 Web 和云中提供模型

烟雨红尘

AI课程的入门必修书