Mostrando 5,361 - 5,380 Resultados de 117,377 Para Buscar '"Science"', tiempo de consulta: 0.25s Limitar resultados
  1. 5361
    Publicado 2018
    “…Adequa­do para leitores sem experiência prévia em programação, R para Data Science foi projetado para que você comece a fazer ciência de dados o mais rápido possível. …”
    Libro electrónico
  2. 5362
    Publicado 2018
    “…Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda About This Book Use Anaconda to find solutions for clustering, classification, and linear regression Analyze your data efficiently with the most powerful data science stack Use the Anaconda cloud to store, share, and discover projects and libraries Who This Book Is For Hands-On Data Science with Anaconda is for you if you are a developer who is looking for the best tools in the market to perform data science. …”
    Libro electrónico
  3. 5363
    Publicado 2021
    Tabla de Contenidos: “…Intro -- Table of Contents -- About the Authors -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Introduction to Data Science -- Importance of Data Types in Data Science -- Data Science: An Overview -- Data Requirements -- Data Acquisition -- Data Preparation -- Data Processing -- Data Cleaning -- Duplicates -- Human or Machine Errors -- Missing Values -- Outliers -- Transforming the Data -- Data Visualization -- Data Analysis -- Modeling and Algorithms -- Report Generation/Decision-Making -- Recent Trends in Data Science -- Automation in Data Science -- Artificial Intelligence-Based Data Analyst -- Cloud Computing -- Edge Computing -- Natural Language Processing -- Why Data Science on the Raspberry Pi? …”
    Libro electrónico
  4. 5364
    Publicado 2018
    Materias:
    Libro electrónico
  5. 5365
    Publicado 2016
    Libro electrónico
  6. 5366
    Publicado 2014
    “…We will make use of the Data Science Toolbox, which is a free, open-source virtual environment that allows everybody to get started with data science in minutes. …”
    Video
  7. 5367
    Publicado 2016
    Materias: “…Data structures (Computer science)…”
    Libro electrónico
  8. 5368
    Publicado 2021
    “…Updated for 2021, this edition includes brand new content on XGBoost, SHAP values, algorithmic fairness, and the ethical concerns of deploying a model in the real world.By the end of this data science book, you'll have the skills, understanding, and confidence to build your own machine learning models and gain insights from real data.What you will learnLoad, explore, and process data using the pandas Python packageUse Matplotlib to create compelling data visualizationsImplement predictive machine learning models with scikit-learnUse lasso and ridge regression to reduce model overfittingEvaluate random forest and logistic regression model performanceDeliver business insights by presenting clear, convincing conclusionsWho this book is forData Science Projects with Python - Second Edition is for anyone who wants to get started with data science and machine learning. …”
    Libro electrónico
  9. 5369
    Publicado 2016
    Materias:
    Libro electrónico
  10. 5370
    Publicado 2015
    “…Assess the need for a data science team: Advantages, disadvantages, and how big should it be? …”
    Video
  11. 5371
    Publicado 2021
    Libro electrónico
  12. 5372
    Publicado 2021
    Tabla de Contenidos: “…Introduction to Learning Science -- Chapter 2. From Neural to Useful -- Chapter 3. …”
    Libro electrónico
  13. 5373
    Publicado 2016
    Tabla de Contenidos: “…Cover -- Title -- Copyright -- Contents -- Preface -- About the Author -- 1 Materials for Engineering -- 1.1 The Material World -- 1.2 Materials Science and Engineering -- 1.3 Six Materials That Changed Your World -- STEEL BRIDGES-INTRODUCING METALS -- LUCALOX LAMPS-INTRODUCING CERAMICS -- OPTICAL FIBERS-INTRODUCING GLASSES -- NYLON PARACHUTES-INTRODUCING POLYMERS -- KEVLAR®-REINFORCED TIRES-INTRODUCING COMPOSITES -- SILICON CHIPS-INTRODUCING SEMICONDUCTORS -- 1.4 Processing and Selecting Materials -- 1.5 Looking at Materials by Powers of Ten -- PART I The Fundamentals -- 2 Atomic Bonding -- 2.1 A tomic Structure -- 2.2 The Ionic Bond -- COORDINATION NUMBER -- 2.3 The Covalent Bond -- 2.4 The Metallic Bond -- 2.5 The Secondary, or van der Waals, Bond -- 2.6 Materials-The Bonding Classification -- 3 Crystalline Structure-Perfection -- 3.1 Seven Systems and Fourteen Lattices -- 3.2 Metal Structures -- 3.3 Ceramic Structures -- 3.4 Polymeric Structures -- 3.5 Semiconductor Structures -- 3.6 Lattice Positions, Directions, and Planes -- 3.7 X-Ray Diffraction -- 4 Crystal Defects and Noncrystalline Structure-Imperfection -- 4.1 The Solid Solution-Chemical Imperfection -- 4.2 Point Defects-Zero-Dimensional Imperfections -- 4.3 Linear Defects, or Dislocations-One-Dimensional Imperfections -- 4.4 Planar Defects-Two-Dimensional Imperfections -- 4.5 Noncrystalline Solids-Three-Dimensional Imperfections -- 5 Diffusion -- 5.1 Thermally Activated Processes -- 5.2 Thermal Production of Point Defects -- 5.3 Point Defects and Solid-State Diffusion -- 5.4 Steady-State Diffusion -- 5.5 Alternate Diffusion Paths -- 6 Mechanical Behavior -- 6.1 Stress Versus Strain -- METALS -- CERAMICS AND GLASSES -- POLYMERS -- 6.2 Elastic Deformation -- 6.3 Plastic Deformation -- 6.4 Hardness -- 6.5 Creep and Stress Relaxation -- 6.6 Viscoelastic Deformation -- INORGANIC GLASSES…”
    Libro electrónico
  14. 5374
    Publicado 2021
    “…Journal of engineering and applied science (Online)…”
    Seriada digital
  15. 5375
    Publicado 2013
    Revista digital
  16. 5376
    Publicado 2021
    “…Learn to effectively manage data and execute data science projects from start to finish using PythonKey FeaturesUnderstand and utilize data science tools in Python, such as specialized machine learning algorithms and statistical modelingBuild a strong data science foundation with the best data science tools available in PythonAdd value to yourself, your organization, and society by extracting actionable insights from raw dataBook DescriptionPractical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science.The book starts with an overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code needed to execute the techniques. …”
    Libro electrónico
  17. 5377
    Publicado 2015
    Tabla de Contenidos: “…The special characteristics and the prospect forecast of cheerleadingThe influence of physical exercise on the 3-4 grade students' Self-Control Ability; Analysis of the feasibility of physical education intervention in youth network addiction; Research on the value of human movement science in sports practice in university; Study of social sports specialty entrepreneurial talents cultivation; The training of the university students' lifelong sports consciousness, hobbies and abilities; Social sports specialty talents training ski instruction of school enterprise cooperation…”
    Libro electrónico
  18. 5378
    Publicado 2021
    Materias: “…Social Sciences…”
    Revista digital
  19. 5379
    Publicado 2015
    Tabla de Contenidos: “…Front Cover; Advances in Silk Science and Technology; Copyright; Contents; List of contributors; Woodhead Publishing Series in Textiles; Preface; Part One: Processing and properties of silk from silkworms and spiders; Chapter 1: Advances in understanding the properties of silk; 1.1. …”
    Libro electrónico
  20. 5380
    Publicado 2014
    Materias:
    Libro electrónico