Materias: “…Data structures (Computer science)…”

Materias: “…Computer science Textbooks…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with Data Science -- Problems solved using data science -- Understanding the data science problem - solving approach -- Using Java to support data science -- Acquiring data for an application -- The importance and process of cleaning data -- Visualizing data to enhance understanding -- The use of statistical methods in data science -- Machine learning applied to data science -- Using neural networks in data science -- Deep learning approaches -- Performing text analysis -- Visual and audio analysis -- Improving application performance using parallel techniques -- Assembling the pieces -- Summary -- Chapter 2: Data Acquisition -- Understanding the data formats used in data science applications -- Overview of CSV data -- Overview of spreadsheets -- Overview of databases -- Overview of PDF files -- Overview of JSON -- Overview of XML -- Overview of streaming data -- Overview of audio/video/images in Java -- Data acquisition techniques -- Using the HttpUrlConnection class -- Web crawlers in Java -- Creating your own web crawler -- Using the crawler4j web crawler -- Web scraping in Java -- Using API calls to access common social media sites -- Using OAuth to authenticate users -- Handing Twitter -- Handling Wikipedia -- Handling Flickr -- Handling YouTube -- Searching by keyword -- Summary -- Chapter 3: Data Cleaning -- Handling data formats -- Handling CSV data -- Handling spreadsheets -- Handling Excel spreadsheets -- Handling PDF files -- Handling JSON -- Using JSON streaming API -- Using the JSON tree API -- The nitty gritty of cleaning text -- Using Java tokenizers to extract words -- Java core tokenizers -- Third-party tokenizers and libraries…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: How to Sound Like a Data Scientist -- What is data science? -- Basic terminology -- Why data science? …”

Tabla de Contenidos: “…Getting Started With Data Science -- Wrapping Your Head around Data Science -- Exploring Data Engineering Pipelines and Infrastructure -- Applying Data-Driven Insights to Business and Industry -- Using Data Science to Extract Meaning from Your Data -- Machine Learning: Learning from Data with your Machine -- Math, Probability, and Statistical Modeling -- Using Clustering to Subdivide Data -- Modeling with Instances -- Building models that Operate Internet-of-Things Devices -- Creating Data Visualizations that Clearly Communicate Meaning -- Following the Principles of Data Visualization Design -- Using D3.js for Data Visualization -- Web-Based Applications for Visualization Design -- Exploring Best Practices in Dashboard Design -- Making Maps from Spatial Data -- Computing for Data Science -- Using Python for Data Science -- Using Open Source R for Data Science -- Using SQL in Data Science -- Doing Data Science with Excel and Knime -- Applying Domain Expertise to Solve Real-World Problems Using Data Science -- Data Science in Journalism: Nailing Down the Five Ws (and an H) -- Delving into Environmental Data Science -- Data Science for Driving Growth in E-Commerce -- Using Data Science to Describe and Predict Criminal Activity -- The Part of Tens --Ten Phenomenal Resources for Open Data -- Ten Free Data Science Tools and Applications…”

Tabla de Contenidos: “…What is the science and art of training? -- How do you learn? …”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Scala and Data Science; Data science; Programming in data science; Why Scala?…”

Materias: “…Environmental sciences…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Dedication -- About the Authors -- About the Technical Reviewer -- BRIEF CONTENTS -- CONTENTS IN DETAIL -- FOREWORD by Anup Ghosh -- ACKNOWLEDGMENTS -- INTRODUCTION -- What Is Data Science? -- Why Data Science Matters for Security -- Applying Data Science to Malware -- Who Should Read This Book? …”

Tabla de Contenidos: “…Take wing: you are in a soup of air molecules -- Moving along: the science of motion -- One source of energy flows to the next: light,wind,and electromagnetic fields -- Designing technologies -- Rocks and stars …”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Transitioning from Data Developer to Data Scientist -- Data developer thinking -- Objectives of a data developer -- Querying or mining -- Data quality or data cleansing -- Data modeling -- Issue or insights -- Thought process -- Developer versus scientist -- New data, new source -- Quality questions -- Querying and mining -- Performance -- Financial reporting -- Visualizing -- Tools of the trade -- Advantages of thinking like a data scientist -- Developing a better approach to understanding data -- Using statistical thinking during program or database designing -- Adding to your personal toolbox -- Increased marketability -- Perpetual learning -- Seeing the future -- Transitioning to a data scientist -- Let's move ahead -- Summary -- Chapter 2: Declaring the Objectives -- Key objectives of data science -- Collecting data -- Processing data -- Exploring and visualizing data -- Analyzing the data and/or applying machine learning to the data -- Deciding (or planning) based upon acquired insight -- Thinking like a data scientist -- Bringing statistics into data science -- Common terminology -- Statistical population -- Probability -- False positives -- Statistical inference -- Regression -- Fitting -- Categorical data -- Classification -- Clustering -- Statistical comparison -- Coding -- Distributions -- Data mining -- Decision trees -- Machine learning -- Munging and wrangling -- Visualization -- D3 -- Regularization -- Assessment -- Cross-validation -- Neural networks -- Boosting -- Lift -- Mode -- Outlier -- Predictive modeling -- Big Data -- Confidence interval -- Writing -- Summary -- Chapter 3: A Developer's Approach to Data Cleaning -- Understanding basic data cleaning…”

“…Cut through the noise and get real results with a step-by-step approach to data science Key Features Ideal for the data science beginner who is getting started for the first time A data science tutorial with step-by-step exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book Description You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. …”

Tabla de Contenidos: “…Introduction to Cybersecurity Science; What Is Cybersecurity Science?; The Importance of Cybersecurity Science; The Scientific Method; Cybersecurity Theory and Practice; Pseudoscience; Human Factors; Roles Humans Play in Cybersecurity Science; Human Cognitive Biases; The Role of Metrics; Conclusion; References; Chapter 2. …”

“…Statistics, big data, and machine learning for Clojure programmers About This Book Write code using Clojure to harness the power of your data Discover the libraries and frameworks that will help you succeed A practical guide to understanding how the Clojure programming language can be used to derive insights from data Who This Book Is For This book is aimed at developers who are already productive in Clojure but who are overwhelmed by the breadth and depth of understanding required to be effective in the field of data science. Whether you're tasked with delivering a specific analytics project or simply suspect that you could be deriving more value from your data, this book will inspire you with the opportunities?…”

Tabla de Contenidos: “…Introduction: Science and modern India : an institutional history, 1784-1947 / Uma Das Gupta -- pt. 1. …”

“…Welcome to the leading edge of data science, where new architectures and techniques for harnessing, analyzing, and exploring vast troves of information are being built and tested. …”

“…Light--science and magic…”

“…Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. …”