Python machine learning

Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics and machine learning. Presenting interesting, new experimental results, "Learni

The subject of data-driven modeling has been addressed in various disciplines such as statistics, pattern recognition, signal processing, genomics, artificial neural networks, machine learning, and d

Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics, and machine learning. Filled with interesting new experimental results, Learni

For so long, humans have dreamt of traveling of traveling through time - popularised by H.G. Well's classic novel. As the Time Traveller travels into the future, he finds changed lands and fascinating

Part of a 6 level series of readers for children learning English, this work brings together a variety of fiction and non-fiction titles. It aims to provide reinforcement of the basic structures and v

Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different

Advanced statistical modeling and knowledge representation techniques for a newlyemerging area of machine learning and probabilistic reasoning; includes introductory material,tutorials for different p

本書共9章，主要介紹了人工智能在監督學習、非監督學習、強化學習3個領域的10種常見算法，包括kNN、貝葉斯、決策樹、支持向量機、集成學習、K-means、線性回歸、神經網絡、卷積網絡、Q-learning等。全書採用Python作為實現語言，通過大量原創圖表及實用案例讓讀者參與和體驗人工智能的“決策過程”，希望讀者能夠瞭解並掌握人工智能的常用算法。 本書配套的數字課程將在“智慧職教”(www.i

深度學習（Deep Learning）如今已成為非常活躍的研究領域，同時也為現代機器學習鋪展了一條康莊大道。本書提供許多範例與清楚的說明，引導讀者進一步了解這個複雜領域中的一些主要概念。包括Google、微軟和Facebook這樣的業界龍頭，全都在其內部積極發展深度學習團隊。不過對於一般人來說，深度學習仍舊是個相當複雜而困難的主題。如果您熟悉Python，並具備微積分的背景知識，加上對於機器學習的

Python與機器學習這一話題是如此的寬廣，僅靠一本書自然不可能涵蓋到方方面面，甚至即使出一個系列也難能做到這點。單就機器學習而言，其領域就包括但不限於如下：有監督學習（Supervised Learning），無監督學習（Unsupervised Learning）和半監督學習（Semi-Supervised Learning）。而具體的問題又大致可以分兩類：分類問題（Classificatio

David and his family use his grandfather's time travel machine to go back in time to the Chicago World's Fair in 1893.

Packed with detailed examples and illustrations, PRECISION MACHINING TECHNOLOGY, Third Edition, is your ideal introduction to today's machine tool industry, equipping you with a solid understanding of

David and his family use his grandfather's time travel machine to travel to 1853 Ohio, where they assist runaway slaves on their journey north on the Underground Railroad.

Microdermabrasion is designed to support your career by showing you step-by-step both a manual microdermabrasion treatment and a machine-aided microdermabrasion. The content covers an overview of trea

David and his family use his grandfather's time travel machine to travel to 1893 Cambridge, Massachusetts, where they meet African American football pioneer William Henry Lewis, who played for Harvard

Master the basics of print interpretation! PRINT READING FOR MACHINISTS, Sixth Edition, is an ideal resource for machine trades students and apprentices alike who want to gain the knowledge and skills

Lymphatic Drainage introduces you to the simple-to-learn techniques of lymph drainage massage in two phases, starting with treating the neck and then the face. Covering both manual and machine-aided l

The human body is an amazing 'machine' made up of different systems that allow us to do things like run, eat, and even breath. These systems work together to keep the body functioning normally and he

Discover a practical, streamlined approach to systems development that focuses on the latest developments with Tilley's Systems Analysis and Design, Cengage International Edition, 13th, and MindTap digital resources. Real examples clearly demonstrate both traditional and emerging approaches to systems analysis and design, including object-oriented and agile methods. You also study emerging technologies such as artificial intelligence (AI), machine learning (ML), cloud computing and cybersecurity. Meaningful projects, insightful assignments and both online and printed exercises emphasize the critical thinking and IT skills that are most important in today's dynamic, business-related environment.

Cybersecurity attacks grow more complex every day. The first edition of Wilson's COMPTIA PENTEST+ GUIDE TO PENETRATION TESTING helps you gain the knowledge and skills necessary to analyze systems in the same way hackers do. It provides the information you need to successfully pass the CompTIA PenTest+ PTO-002 certification exam and contains detailed examples, projects, and hands-on activities (including virtual machine labs and interactive online features) where you can practice using the actual tools and methodologies needed to be a successful penetration tester. The author begins by exploring the concept of penetration testing, and then walks you through the process of building your own penetration testing lab of virtual machines (hosted on your own computer, which is used to practice the use of pen testing tools and methods). A final project guides you in the creation of a penetration testing report that includes all the areas covered in earlier modules.

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

CALCULATOR APPLICATIONS FOR BUSINESS provides students realistic experience with business applications typically performed on electronic calculators or other office machine keypads. Students learn to

This book provides over 1,000 review questions and answers for all types of mechanical engineering exams. It covers all the aspects of mechanical engineering topics including thermodynamics, machine d

This book introduces TensorFlow to people who have some knowledge of Python. Readers will learn about many “core” TensorFlow APIs, Linear Regression, Logistic Regression, and MultiLayer Perceptrons. T

本書探索了一系列廣泛應用的機器學習技術，用實際例子揭示了常見數據中隱藏的處理技巧和竅門。本書還探討了機器學習的前沿進展，提供了一些關於深度學習和強化學習的範例和指導原則，完美演繹了實操過程及算法原理。本書的目標讀者為那些想瞭解機器學習實踐通過機器學習技術解決現實應用的數據科學家。

本書採用理論與實踐相結合的方式，在簡明扼要地闡明機器學習原理的基礎上，通過大量實例介紹了不同場景下機器學習算法在scikit-learn中的實現及應用。書中還有大量的代碼示例及圖例，便於讀者理解和學習並實際上手操作。另一方面，書中還有很多的延伸閱讀指導，方便讀者系統性地瞭解機器學習領域的現有技術及其發展狀態。

本書講解的是在R語言平臺上使用大數據技術構建可擴展機器學習模型的新技術成果。它全面展示了如何採用機器學習算法在原始數據的基礎上構建機器學習模型。本書還能讓那些希望利用ApacheHadoop、Hive、Pig和Spark來實現可擴展機器學習模型的讀者從中受益。