The Applied Artificial Intelligence Workshop: Start working with AI today, to build games, design decision trees, and train your own machine learning
暫譯: 應用人工智慧工作坊:今天開始使用AI,構建遊戲、設計決策樹,並訓練自己的機器學習模型
So, Anthony, So, William, Nagy, Zsolt
- 出版商: Packt Publishing
- 出版日期: 2020-07-20
- 售價: $1,670
- 貴賓價: 9.5 折 $1,587
- 語言: 英文
- 頁數: 420
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1800205813
- ISBN-13: 9781800205819
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相關分類:
人工智慧、Machine Learning
海外代購書籍(需單獨結帳)
商品描述
With knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python, through practical exercises and engaging activities
Key Features
- Learn about AI and ML algorithms from the perspective of a seasoned data scientist
- Get practical experience in ML algorithms, such as regression, tree algorithms, clustering, and more
- Design neural networks that emulate the human brain
Book Description
You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career?
The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career.
The book begins by teaching you how to predict outcomes using regression. You'll then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you'll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you'll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
By the end of this applied AI book, you'll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models.
What you will learn
- Create your first AI game in Python with the minmax algorithm
- Implement regression techniques to simplify real-world data
- Experiment with classification techniques to label real-world data
- Perform predictive analysis in Python using decision trees and random forests
- Use clustering algorithms to group data without manual support
- Learn how to use neural networks to process and classify labeled images
Who this book is for
The Applied Artificial Intelligence Workshop is designed for software developers and data scientists who want to enrich their projects with machine learning. Although you do not need any prior experience in AI, it is recommended that you have knowledge of high school-level mathematics and at least one programming language, preferably Python. Although this is a beginner's book, experienced students and programmers can improve their Python skills by implementing the practical applications given in this book.
商品描述(中文翻譯)
透過專家的知識與資訊,踏出創建可擴展的 AI 演算法和解決方案的第一步,使用 Python 進行實踐練習和有趣的活動
主要特色
- 從資深數據科學家的角度學習 AI 和 ML 演算法
- 獲得 ML 演算法的實踐經驗,例如回歸、樹狀演算法、聚類等
- 設計模擬人類大腦的神經網絡
書籍描述
你已經知道人工智慧(AI)和機器學習(ML)在你日常使用的許多工具中都存在。但你是否想能夠創建自己的 AI 和 ML 模型,並在這些領域發展你的技能,以啟動你的 AI 職業生涯?
應用人工智慧工作坊幫助你開始應用 AI,透過實踐練習和有用的範例,巧妙地組合在一起,幫助你獲得轉變職業所需的技能。
本書首先教你如何使用回歸來預測結果。接著,你將學習如何使用 k 最近鄰(KNN)和支持向量機(SVM)分類器來分類數據。隨著進展,你將探索各種決策樹,學習如何建立可靠的決策樹模型,幫助你的公司找到客戶可能會購買的汽車。最後幾章將介紹深度學習和神經網絡。透過各種活動,例如預測股價和識別手寫數字,你將學習如何訓練和實施卷積神經網絡(CNN)和遞歸神經網絡(RNN)。
在這本應用 AI 書籍的結尾,你將學會如何預測結果和訓練神經網絡,並能夠使用各種技術來開發 AI 和 ML 模型。
你將學到什麼
- 使用 minmax 演算法在 Python 中創建你的第一個 AI 遊戲
- 實施回歸技術以簡化現實世界數據
- 實驗分類技術以標記現實世界數據
- 使用決策樹和隨機森林在 Python 中進行預測分析
- 使用聚類演算法在沒有手動支持的情況下對數據進行分組
- 學習如何使用神經網絡處理和分類標記的圖像
本書適合誰
應用人工智慧工作坊是為希望用機器學習豐富其項目的軟體開發人員和數據科學家設計的。雖然你不需要任何 AI 的先前經驗,但建議你具備高中數學知識和至少一種程式語言的知識,最好是 Python。雖然這是一本初學者的書籍,但有經驗的學生和程式設計師可以通過實施本書中提供的實踐應用來提升他們的 Python 技能。