The Applied AI and Natural Language Processing Workshop: Explore practical ways to transform your simple projects into powerful intelligent applicatio
暫譯: 應用人工智慧與自然語言處理工作坊：探索將簡單專案轉變為強大智能應用的實用方法

Name: The Applied AI and Natural Language Processing Workshop: Explore practical ways to transform your simple projects into powerful intelligent applicatio
Price: 1739 TWD
Availability: OnlineOnly
Author: Sankar, Krishna, Jackovich, Jeffrey, Richards, Ruze
ISBN: 180020874X

Sankar, Krishna, Jackovich, Jeffrey, Richards, Ruze

The Applied AI and Natural Language Processing Workshop: Explore practical ways to transform your simple projects into powerful intelligent applicatio

出版商: Packt Publishing
出版日期: 2020-07-24
售價: $1,830
貴賓價: 9.5 折 $1,739
語言: 英文
頁數: 384
裝訂: Quality Paper - also called trade paper
ISBN: 180020874X
ISBN-13: 9781800208742
相關分類: 人工智慧

海外代購書籍(需單獨結帳)

商品描述

With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can process information in no time

Key Features

Learn how to integrate Amazon's Simple Storage Services with AI and NLP projects
Get to grips with serverless computing and its applications
Create intelligent applications such as chatbots and image recognition models

Book Description

Are you fascinated with applications like Alexa and Siri and how they accurately process information within seconds before returning accurate results? Are you looking for a practical guide that will teach you how to build intelligent applications that can revolutionize the world of artificial intelligence? The Applied AI and NLP Workshop will take you on a practical journey where you will learn how to build artificial intelligence (AI) and natural language processing (NLP) applications with Amazon Web services (AWS).

Starting with an introduction to AI and machine learning, this book will explain how Amazon S3, or Amazon Simple Storage Service, works. You'll then integrate AI with AWS to build serverless services and use Amazon's NLP service Comprehend to perform text analysis on a document. As you advance, the book will help you get to grips with topic modeling to extract and analyze common themes on a set of documents with unknown topics. You'll also work with Amazon Lex to create and customize a chatbot for task automation and use Amazon Rekognition for detecting objects, scenes, and text in images.

By the end of The Applied AI and NLP Workshop, you'll be equipped with the knowledge and skills needed to build scalable intelligent applications with AWS.

What you will learn

Grasp the fundamentals of AI, ML, and AWS
Explore the AWS command line, its interface, and its applications
Import and export data to Amazon S3
Perform topic modeling on a set of documents to analyze common themes
Develop a custom chatbot to get the latest stock market quotes
Create a personal call center and connect it to the chatbot

Who this book is for

If you are a machine learning enthusiast, data scientist, or programmer who wants to explore AWS's artificial intelligence and machine learning capabilities, this book is for you. Although not necessary, a basic understanding of AI and NLP will assist with grasping key topics quickly.

商品描述(中文翻譯)

透過引人入勝的活動，學習如何利用 Amazon Web Services 建立無伺服器的智能應用程式，能夠迅速處理資訊

主要特色

學習如何將 Amazon 的簡單儲存服務（Simple Storage Services）與 AI 和 NLP 專案整合

掌握無伺服器計算及其應用

創建智能應用程式，如聊天機器人和圖像識別模型

書籍描述

你是否對像 Alexa 和 Siri 這樣的應用程式感到著迷，並且它們如何在幾秒鐘內準確處理資訊並返回正確結果？你是否在尋找一本實用指南，教你如何建立能夠徹底改變人工智慧世界的智能應用程式？《應用 AI 和 NLP 工作坊》將帶你踏上實踐之旅，學習如何使用 Amazon Web Services（AWS）建立人工智慧（AI）和自然語言處理（NLP）應用程式。

本書從 AI 和機器學習的介紹開始，解釋 Amazon S3（Amazon 簡單儲存服務）的運作方式。接著，你將整合 AI 與 AWS，建立無伺服器服務，並使用 Amazon 的 NLP 服務 Comprehend 對文件進行文本分析。隨著進度的推進，本書將幫助你掌握主題建模，以提取和分析一組未知主題文件中的共同主題。你還將使用 Amazon Lex 創建和自訂聊天機器人以進行任務自動化，並使用 Amazon Rekognition 來檢測圖像中的物體、場景和文本。

在《應用 AI 和 NLP 工作坊》結束時，你將具備使用 AWS 建立可擴展智能應用程式所需的知識和技能。

你將學到什麼

掌握 AI、ML 和 AWS 的基本原理

探索 AWS 命令列、其介面及其應用

將資料匯入和匯出至 Amazon S3

對一組文件進行主題建模以分析共同主題

開發自訂聊天機器人以獲取最新的股市報價

創建個人呼叫中心並將其連接到聊天機器人

本書適合誰

如果你是機器學習愛好者、數據科學家或想探索 AWS 的人工智慧和機器學習能力的程式設計師，這本書適合你。雖然不是必需，但對 AI 和 NLP 的基本理解將有助於快速掌握關鍵主題。

作者簡介

Krishna Sankar is an AI data scientist with Volvo Cars focusing on autonomous vehicles. Previously, he was the chief data scientist at blackarrow, where he was focusing on optimizing user experience via inference, intelligence, and interfaces. He was the director of a data science/bioinformatics startup and also worked as a distinguished engineer at Cisco. He has been speaking at various conferences as well as guest lecturing at the Naval Postgraduate School. His other passion is Lego Robotics. You'll find him at the St.Louis FLL World Competition as the robot design judge.

Jeffrey Jackovich is a curious data scientist with a background in health-tech and mergers and acquisitions. He has extensive business-oriented healthcare knowledge but enjoys analyzing all types of data with R and Python. He loves the challenges involved in the data science process, and his ingenious demeanor was tempered while serving as a Peace Corps volunteer in Morocco. He is completing a master's of science in computer information systems from Boston University, with a data analytics concentration.

Ruze Richards is a data scientist and cloud architect who has spent most of his career building high-performance analytics systems for enterprises and startups. He is passionate about AI and machine learning. He began his career as a physicist, felt excited about neural networks, and started working at AT&T Bell Labs to further pursue this area of interest. He is thrilled to spread the knowledge and help people achieve their goals.

作者簡介(中文翻譯)

Krishna Sankar 是一位專注於自動駕駛車輛的 AI 數據科學家，任職於 Volvo Cars。之前，他是 blackarrow 的首席數據科學家，專注於通過推理、智能和介面來優化用戶體驗。他曾擔任一個數據科學/生物信息學初創公司的總監，並且在 Cisco 擔任過傑出工程師。他在各種會議上發表演講，並在海軍研究生院擔任客座講師。他的另一個熱情是 Lego 機器人。您可以在聖路易斯 FLL 世界競賽中找到他，擔任機器人設計評審。

Jeffrey Jackovich 是一位好奇的數據科學家，擁有健康科技和併購的背景。他擁有廣泛的商業導向醫療知識，但喜歡使用 R 和 Python 分析各類數據。他熱愛數據科學過程中的挑戰，他的聰明才智在摩洛哥擔任和平隊志願者期間得到了磨練。他正在波士頓大學完成計算機信息系統的碩士學位，專注於數據分析。

Ruze Richards 是一位數據科學家和雲架構師，他的大部分職業生涯都在為企業和初創公司構建高性能分析系統。他對 AI 和機器學習充滿熱情。他的職業生涯始於物理學家，對神經網絡感到興奮，並開始在 AT&T Bell Labs 工作，以進一步追求這一興趣領域。他很高興能夠傳播知識，幫助人們實現他們的目標。