Python data mining and machine learning in action

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide—updated for Python 3.5 and Pandas 1.0—is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython.Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive applications. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.

This book seeks to increase our understanding of those non-educational contexts and informal circumstances in which people learn. Adult educators, Professor Foley argues, ought not to neglect the impo

The Seventh Edition of CRIMINAL JUSTICE IN ACTION places you in the center of the action and helps you excel in your criminal justice course! You'll explore vivid real-life applications that clarify k

This consumable resource is designed to guide the work of a student by inclusion of both lesson and chapter review activities for use as part of their course of study. This tool offers additional res

Fun, engaging, and action-packed! Students learn better and are more motivated when they can put English into action! The second edition of English in Action provides learners with competency-based

Reflecting the latest technology and tools of the trade, MATHEMATICS FOR MACHINE TECHNOLOGY, 7e provides the mathematical skills and practice that students and apprentices will use on the job in the m

Incorporating examples relevant to everyday life and an accessible writing style, this text focuses on 23 theories that sample the breadth of communication research. This third edition includes a new

內容簡介:以簡單有效率的方式分析資料與預測結果 機器學習的目的是預測，使用你已經知道的來預測你想要知道的—根據這兩者之間的歷史關係。它的核心是一種數學 / 演算法技術，你需要深入瞭解數學與統計學概念，並熟悉 R 與其他專用語言。本書為廣大的讀者簡化機器學習技術，把焦點放在兩種可以有效地預測結果的演算法族群，告訴你如何透過熱門且容易上手的 Python 程式語言來使用它們。 作者 Michael B

This comprehensive text takes students through the necessary fundamentals of field experience. It helps students understand the supervision process and their place in the agency. Vital topics such as

國內外最具代表性案例兩大雲端應用、15項分類實例、9大專題實戰自然語言、文字識別、語音轉換、分析預測、物件自動標示、影像辦識真正實練！從資料收集整理、模型訓練調整，檢測修正到產出全面解秘！資料科學(Data Science)技術崛起後，人工智慧(Artificial Intelligence)、機器學習(Machine Learning)與深度學習(Deep Learning)儼然成為電腦科學最熱

Advanced Issues in Partial Least Squares Structural Equation Modeling provides a practical and applied description of advanced issues in PLS-SEM relevant for students, professors and applied researchers. Authors Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, Siegfried P. Gudergan combine simple explanations of complex statistical concepts with examples and case studies that readers can follow using datasets available with the book. Furthermore, instead of providing technical descriptions of the concepts with a multitude of formulae, the book will focus on the appropriate analysis of data and interpretation of outputs. Many of the examples are based on the SmartPLS software, created and maintained by the authors. The book is easy to use for both independent and guided learning, including numerous graphs, tables, illustrations, multiple downloadable datasets (provided on a companion website), exercises, and further readings. Where appropriate, supplementary analyses and data mana

The third edition of the Handbook of Educational Psychology is sponsored by Division 15 of the American Psychological Association. In this volume, thirty chapters address new developments in theory and research methods while honoring the legacy of the field’s past. A diverse group of recognized scholars within and outside the U.S. provide integrative reviews and critical syntheses of developments in the substantive areas of psychological inquiry in education, functional processes for learning, learner readiness and development, building knowledge and subject matter expertise, and the learning and task environment. New chapters in this edition cover topics such as learning sciences research, latent variable models, data analytics, neuropsychology, relations between emotion, motivation, and volition (EMOVO), scientific literacy, sociocultural perspectives on learning, dialogic instruction, and networked learning. Expanded treatment has been given to relevant individual differences, under

Unique, interactive, and most of all, fun — the Doodlepedia series gets kids learning and thinking by inviting them to participate in the action. These interactive doodle guides ask readers to complet

Unique, interactive, and most of all, fun — the Doodlepedia series gets kids learning and thinking by inviting them to participate in the action. These interactive doodle guides ask readers to complet