Machine Learning Solutions

Jalaj Thanaki

  • 出版商: Packt Publishing
  • 出版日期: 2018-04-26
  • 定價: $1,330
  • 售價: 6.0$798
  • 語言: 英文
  • 頁數: 566
  • 裝訂: Paperback
  • ISBN: 1788390040
  • ISBN-13: 9781788390040
  • 相關分類: Machine Learning
  • 立即出貨 (庫存=1)

商品描述

Practical, hands-on solutions in Python to overcome any problem in Machine Learning Key Features Master the advanced concepts, methodologies, and use cases of machine learning Build ML applications for analytics, NLP and computer vision domains Solve the most common problems in building machine learning models Book DescriptionMachine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job. You'll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you'll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples. The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions. In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity. What you will learn Select the right algorithm to derive the best solution in ML domains Perform predictive analysis effciently using ML algorithms Predict stock prices using the stock index value Perform customer analytics for an e-commerce platform Build recommendation engines for various domains Build NLP applications for the health domain Build language generation applications using different NLP techniques Build computer vision applications such as facial emotion recognition Who this book is forThis 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.

商品描述(中文翻譯)

《Python機器學習問題解決實戰》是一本實用的書籍,提供了解決機器學習中各種問題的實際解決方案。以下是本書的主要特點:

- 掌握機器學習的高級概念、方法和應用案例
- 構建用於分析、自然語言處理和計算機視覺領域的機器學習應用
- 解決構建機器學習模型中最常見的問題

本書將引導讀者在構建機器學習模型時遇到的一系列從簡單到複雜的問題,並不僅僅解決這些問題,還會通過實際案例和易於理解的示例來學習如何基於每個問題構建項目。本書涵蓋了廣泛的應用領域,包括分析、自然語言處理和計算機視覺等。一些應用案例包括股票價格預測、推薦引擎、聊天機器人、面部表情識別系統等。

本書涵蓋的問題示例包括選擇適合數據集和應用案例的正確算法、創建和標記數據集、獲取足夠的乾淨數據進行處理、識別異常值、過度擬合數據集、超參數調整等。在這裡,您還將學習如何進行更及時和準確的預測。此外,您還將處理更高級的應用案例,例如構建遊戲機器人、為醫療文件構建摘要工具以及在構建機器學習模型時遇到的問題。

通過閱讀本書,您將能夠根據自己的需求對模型進行微調,以實現最大的生產力。

本書適合中級用戶,如機器學習工程師、數據工程師、數據科學家等,他們希望在日常工作中解決從簡單到複雜的機器學習問題,並構建強大高效的機器學習模型。只需具備對機器學習概念的基本理解和一些Python編程經驗,即可開始閱讀本書。