Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Chris Albon
- 出版商: O'Reilly Media
- 出版日期: 2018-04-01
- 售價: $1,985
- 貴賓價: 9.5 折 $1,886
- 語言: 英文
- 頁數: 366
- 裝訂: Paperback
- ISBN: 1491989386
- ISBN-13: 9781491989388
-
相關分類:
Python 程式語言、Machine Learning 機器學習、DeepLearning 深度學習
立即出貨
買這商品的人也買了...
-
$1,663
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems (Paperback)
-
$690$538Python 機器學習, 2/e (Python Machine Learning, 2/e)
-
$620$484Python 深度學習 (Python Deep Learning)
-
$690$483AI 及機器學習的經脈:演算法新解
-
$1,539
Python Data Structures and Algorithms
-
$336
Python 機器學習經典實例 (Python Machine Learning Cookbook)
-
$1,644
Python GUI Programming Cookbook - Second Edition
-
$1,615
Practical Statistics for Data Scientists: 50 Essential Concepts
-
$1,886
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
-
$680$530Python 網頁程式交易 APP 實作:Web + MySQL + Django
-
$680$537資訊架構學, 4/e (Information Architecture: For the Web and Beyond, 4/e)
-
$580$458PHP 學習手冊 (Learning PHP: A Pain-Free Introduction to Building Interactive Websites)
-
$780$546深入淺出 Python (Head First Python)
-
$1,368
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
-
$780$616精通 Python|運用簡單的套件進行現代運算 (Introducing Python: Modern Computing in Simple Packages)
-
$1,260
Python for Finance (Paperback)
-
$1,368
Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series)
-
$3,413
Quantitative Technical Analysis: An integrated approach to trading system development and trading management (Paperback)
-
$1,361
Hands-On Android UI Development: Design and develop attractive user interfaces for Android applications
-
$390$296寫程式前就該懂的演算法 ─ 資料分析與程式設計人員必學的邏輯思考術 (Grokking Algorithms: An illustrated guide for programmers and other curious people)
-
$780$616網站可靠性工程|Google的系統管理之道 (Site Reliability Engineering: How Google Runs Production Systems)(SRE)
-
$1,663
Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python
-
$450$356打造可維護軟體|編寫可維護程式碼的10項法則 (Java版) (Building Maintainable Software, Java Edition: Ten Guidelines for Future-Proof Code)
-
$480$379Think Data Structures|Java演算法實作和資料檢索 (Think Data Structures: Algorithms and Information Retrieval in Java)
-
$580$458Java 9 模組化|可維護應用程式的開發模式與實務 (Java 9 Modularity: Patterns and Practices for Developing Maintainable Applications)
商品描述
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.
Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications.
You’ll find recipes for:
- Vectors, matrices, and arrays
- Handling numerical and categorical data, text, images, and dates and times
- Dimensionality reduction using feature extraction or feature selection
- Model evaluation and selection
- Linear and logical regression, trees and forests, and k-nearest neighbors
- Support vector machines (SVM), naïve Bayes, clustering, and neural networks
- Saving and loading trained models