The Supervised Learning Workshop, Second Edition
暫譯: 監督式學習工作坊（第二版）
Bateman, Blaine, Jha, Ashish Ranjan, Johnston, Benjamin
- 出版商: Packt Publishing
- 出版日期: 2020-02-28
- 售價: $1,670
- 貴賓價: 9.5 折 $1,587
- 語言: 英文
- 頁數: 490
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1800209045
- ISBN-13: 9781800209046
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相關主題
商品描述
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You already know you want to understand supervised learning, and a smarter way to do that is to learn by doing. The Supervised Learning Workshop focuses on building up your practical skills so that you can deploy and build solutions that leverage key supervised learning algorithms. You'll learn from real examples that lead to real results.
Throughout The Supervised Learning Workshop, you'll take an engaging step-by-step approach to understand supervised learning. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how to predict future values with auto regressors. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.
Every physical print copy of The Supervised Learning Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book.
Fast-paced and direct, The Supervised Learning Workshop is the ideal companion for those with some Python background who are getting started with machine learning. You'll learn how to apply key algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. |
商品描述(中文翻譯)
您已經知道自己想要了解監督式學習，而更聰明的方式是透過實作來學習。《監督式學習工作坊》專注於提升您的實務技能，使您能夠部署和構建利用關鍵監督式學習演算法的解決方案。您將從實際範例中學習，並獲得真實的結果。
在《監督式學習工作坊》中，您將採取引人入勝的逐步方法來理解監督式學習。您不必經歷任何不必要的理論。如果您時間有限，可以每天跳入一個單一的練習，或花整個週末學習如何使用自回歸模型預測未來值。這完全取決於您。按照自己的方式學習，您將以一種令人滿意的方式建立和強化關鍵技能。
每本《監督式學習工作坊》的實體印刷本都解鎖了互動版的訪問權限。透過詳細說明所有練習和活動的影片，您將始終擁有指導解決方案。您還可以通過評估來自我基準測試，追蹤進度，並接收內容更新。完成後，您甚至會獲得一個安全的證書，可以在線分享和驗證。這是一個高級的學習體驗，包含在您的印刷本中。要兌換，請遵循書本開頭的說明。
快速且直接，《監督式學習工作坊》是對於有一定 Python 背景並開始接觸機器學習的人的理想伴侶。您將學習如何像數據科學家一樣應用關鍵演算法，並在過程中學習。這個過程意味著您會發現您的新技能會牢牢掌握，嵌入最佳實踐中。為未來的幾年奠定堅實的基礎。
作者簡介
Blaine Bateman
Blaine Bateman has more than 35 years of experience working with various industries from government R&D to startups to $1B public companies. His experience focuses on market/business analytics including machine learning and forecasting. His hands-on abilities include R coding, Keras, AWS & Azure machine learning, Office suite, writing, market research, due diligence, and employee development and training.
Ashish Ranjan Jha
Ashish Ranjan Jha has over 4 years of research and engineering experience in data science and machine learning ranging from building data pipelines, data analysis, training machine learning models, deploying and monitoring models in production systems, to communicating key results to stakeholders. He received his Bachelor's degree in Electrical Engineering from IIT Roorkee (India), a Master's degree in Computer Science from EPFL (Switzerland) and an MBA degree from Quantic School of Business (Washington) having earned distinction in all 3 of his degrees. He is also a UK Tier-1 Exceptional Talent Visa holder. He has worked for large tech companies - Oracle, Sony as well as upcoming AI startups - Tractable, Sentiance, and is currently working as a Machine Learning Engineer for a UK-based fintech unicorn - Revolut.
Benjamin Johnston
Benjamin Johnston is a senior data scientist for one of the world's leading data-driven medtech companies and is involved in the development of innovative digital solutions throughout the entire product development pathway, from problem definition to solution research and development, through to final deployment. He is currently completing his PhD in machine learning, specializing in image processing and deep convolutional neural networks. He has more than 10 years' experience in medical device design and development, working in a variety of technical roles, and holds first-class honors bachelor's degrees in both engineering and medical science from the University of Sydney, Australia.
Ishita Mathur
Ishita Mathur has worked as a data scientist for 2.5 years with product-based start-ups working with business concerns in various domains and formulating them as technical problems that can be solved using data and machine learning. Her current work at GO-JEK involves the end-to-end development of machine learning projects, by working as part of a product team on defining, prototyping, and implementing data science models within the product. She completed her masters' degree in high-performance computing with data science at the University of Edinburgh, UK, and her bachelor's degree with honors in physics at St. Stephen's College, Delhi.
作者簡介(中文翻譯)
**布萊恩·巴特曼 (Blaine Bateman)**
布萊恩·巴特曼擁有超過35年的經驗，曾在政府研發、初創公司及市值10億美元的上市公司等各種行業工作。他的經驗專注於市場/商業分析，包括機器學習和預測。他的實務能力包括R編程、Keras、AWS和Azure機器學習、Office套件、寫作、市場研究、盡職調查以及員工發展和培訓。
**阿希什·蘭詹·賈 (Ashish Ranjan Jha)**
阿希什·蘭詹·賈在數據科學和機器學習領域擁有超過4年的研究和工程經驗，涵蓋了構建數據管道、數據分析、訓練機器學習模型、在生產系統中部署和監控模型，以及向利益相關者傳達關鍵結果等方面。他在印度的IIT Roorkee獲得電機工程學士學位，在瑞士的EPFL獲得計算機科學碩士學位，並在華盛頓的Quantic School of Business獲得MBA學位，三個學位均以優異成績畢業。他也是英國Tier-1卓越人才簽證持有者。他曾在大型科技公司工作，如Oracle、Sony，以及新興的AI初創公司Tractable、Sentiance，目前擔任英國金融科技獨角獸Revolut的機器學習工程師。
**本傑明·約翰斯頓 (Benjamin Johnston)**
本傑明·約翰斯頓是全球領先的數據驅動醫療科技公司之一的高級數據科學家，參與整個產品開發過程中創新數字解決方案的開發，從問題定義到解決方案的研究和開發，再到最終部署。他目前正在完成機器學習的博士學位，專攻影像處理和深度卷積神經網絡。他在醫療設備設計和開發方面擁有超過10年的經驗，曾擔任多種技術角色，並在澳大利亞悉尼大學獲得工程學和醫學科學的一級榮譽學士學位。
**伊希塔·馬圖爾 (Ishita Mathur)**
伊希塔·馬圖爾擔任數據科學家已有2.5年，曾在產品導向的初創公司工作，處理各個領域的商業問題，並將其轉化為可以通過數據和機器學習解決的技術問題。她目前在GO-JEK的工作涉及機器學習項目的端到端開發，作為產品團隊的一部分，定義、原型設計和實施產品中的數據科學模型。她在英國愛丁堡大學獲得高性能計算與數據科學的碩士學位，並在德里的聖斯蒂芬學院獲得物理學榮譽學士學位。
