| | Practical MLops Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps isand shows you how to put it into practice to operationalize your machine learning models.
| | | Engineering MLOps The book begins by familiarizing you with the MLOps workflow so you can start writing programs to train ML models. Then you'll then move on to explore options for serializing and packaging ML models post-training to deploy them to facilitate machine learning inference, model interoperability, and end-to-end model traceability.
| | | Human-In-The-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to create training data for labeling, object detection, and semantic segmentation, sequence labeling, and more.
| | | Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds...
| | | 精通機器學習｜使用 Scikit-Learn , Keras 與 TensorFlow 第二版 深度學習經歷了一系列的突破之後，已經大幅推動了整個機器學習領域，如今，即使你對這項技術一無所知，也可以使用簡單、高效的工具，製作可從資料中學習的程式。這本暢銷書新版本使用具體的案例、精簡的理論，以及Python準生產框架，協助你直觀地認識智慧系統的概念與建構工具。你將學到可快速上手的技術，只要具備程式編寫經驗，就可以藉由各章的習題來學習。
| | | Python 機器學習 (上), 第三版
（本書有下冊） 循序漸進、由淺入深，好評熱銷再進化！最新修訂的《Python機器學習第三版》是一本不容錯過的全方位指南，也是讀者在建立機器學習系統時的必備參考。有別於其他機器學習教科書，本書使用Python探求機器學習和深度學習的技術精髓，強調豐富實用的程式範例、條理分明的數學解釋，以及直覺友善的圖解說明，帶領讀者探索機器學習的眾多子領域，讓艱澀的概念栩栩如生。
| | | 零基礎入門的機器學習圖鑑
日本亞馬遜資訊相關類暢銷榜No. 1 ★★★最淺顯易懂的機器學習專書★★★
與其害怕被AI取代，不如學會機器學習，讓AI為你所用！本書用一張圖帶你掌握機器學習的整體輪廓，學會機器學習的基礎知識和概念，了解在學習機器學習的演算法時最重要的處理過程，幫你學會如何精準選對演算法，只要掌握每一種演算法的性質，相信就能學會實際操作機器學習，解決生活和工作上的問題，讓AI為你所用！
| | | 圖解AI｜機器學習和深度學習的技術與原理 收錄豐富的圖示與詳盡的解說，即便完全零知識也能夠輕鬆學習。 機器學習與深度學習的原理與技術，單靠這一本 就能深入瞭解的教科書。本書就是因應您心中的吶喊而生的一本書。這本書不會給你滿滿的數學式，而是藉由生活化的舉例、圖解進行說明，盡可能地表達人工智慧的正確知識。期望各位能夠透過本書，觸及機器學習的趣味與可能性，進而踏入機器學習的世界中。
| | | | 1F., No. 105, Sec. 1, Chongqing S. Rd., Zhongzheng Dist.
Taipei City
100
Taiwan | Copyright © 2021 Tenlong Computer Books Co, Ltd. All rights reserved. | | | |
