Python Data Science Handbook

國內外最具代表性案例，9大專題實戰、15個分類實例 Google Colab、Microsoft Azure兩大雲端應用，人臉辨識、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門的話題。其實，人工智慧的應用早已出現在我們生活周遭，如即時車牌影像辨識，以及智慧型手機中的臉部指紋辨識解鎖、影像轉文字翻譯、智慧語音助理…等。 在人工智慧領域中最重要也最適合作為入門的程式語言非Python莫屬。本書就以TensorFlow、Keras為基底，運用Python進行實作，深入人工智慧技術，掌握機器學習與深度學習的真正強大應用。 程式人、工程師挑戰人工智慧最佳學習地圖由類神經網路基礎到AI應用實戰訓練、模型、預測、辨識、分析與驗證全面深入機器學習與深度學習技術核心 ■打造專屬Python、TensorFlow與Keras最強開發環境。 ■圖解簡化複雜難懂的類神經網路觀念，涵蓋多層感知器(MLP)、卷積神經網路(CNN)與循環神經網路(RNN)。 ■整合最夯的人工智慧雲端開發平台：Google Colab，應用雲端提供的充沛資源，全面提升運算效能。 ■加碼最新的機器學習雲端應用平台：Microsoft Azure，連結功能強大、方向多元的Web API，豐富專業應用領域。 ■顛覆只重視理論或產生結果的傳統機器學習內容，實際挑戰從資料收集與準備、模型訓練與調整、檢測修正到結果產出的最完整機器學習實戰流程。 ■全面深入不同應用面向：印刷文字辨識、手寫文字辨識、遠端圖片分析、本機圖片分析、辨識圖片地標或名人、臉部辨識、人臉比對、語言識別、文字翻譯、黑白照片上色、人臉情緒偵測、圖片物件偵測、人工智慧製作縮圖、圖片場景偵測、汽車型號及年份偵測、自動標示物件、資料走勢預測… ■網羅國內外最具代表性案例：手寫文字辨識、圖片分類、即時匯率分析、文字雲與文章自動摘要、YouTube影片加上字幕、股票走勢分析、臉部辨識登入系統、擷取車牌、即時車牌影像辨識…等，進行有系統而扎實的真正演練。 ■一次領略機器學習與深

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making i

The Earth and environmental sciences are becoming progressively more quantitative due to the increased use of mathematical models and new data analysis techniques. This accessible introduction presents an overview of the mathematical methods essential for understanding Earth processes, providing an invaluable resource for students and early career researchers who may have missed (or forgotten) the mathematics they need to succeed as scientists. Topics build gently from basic methods such as calculus to more advanced techniques including linear algebra and differential equations. The practical applications of the mathematical methods to a variety of topics are discussed, ranging from atmospheric science and oceanography to biogeochemistry and geophysics. Including over 530 exercises and end-of-chapter problems, as well as additional computer codes in Python and MATLAB®, this book supports readers in applying appropriate analytical or computational methods to solving real research questi

This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language

Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in

This extensively revised second edition is the only data handbook available on the engineering properties of commercial polymeric films details many physical, mechanical, optical, electrical, and perm

A multitude of measurement units exist within astronomy, some of which are unique to the subject, causing discrepancies that are particularly apparent when astronomers collaborate with researchers from other disciplines in science and engineering. The International System of Units (SI) is based on seven fundamental units from which other units may be derived, but many astronomers are reluctant to drop their old and familiar systems. This handbook demonstrates the ease with which transformations from old units to SI units may be made. Using worked examples, the author argues that astronomers would benefit greatly if the reporting of astronomical research and the sharing of data were standardized to SI units. Each chapter reviews a different SI base unit, clarifying the connection between these units and those currently favoured by astronomers. This is an essential reference for all researchers in astronomy and astrophysics, and will also appeal to advanced students.

Crustal Heat Flow: A Guide to Measurement and Modeling is a handbook for geologists and geophysicists who manipulate thermal data, particularly for petroleum exploration. In theory and with practical examples the book discusses the sources of heat within the crust, describes how to maximise the accuracy of temperature data, covers the measurement of the thermal properties of rocks, and explains a number of maturity indicators. The second part covers a range of thermodynamic models of the lithosphere and shows how these can be used to reconstruct the thermal history of individual sedimentary basins. This book will be regarded as a long-term reference source for professionals and researchers. It will also form the basis of advanced undergraduate and graduate student courses in geology, geophysics, engineering, mining, and environmental science, and will be a valuable text for petroleum industry training schemes.