Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Book 1 Defining Data Science -- Chapter 1 Considering the History and Uses of Data Science -- Considering the Elements of Data Science -- Considering the emergence of data science -- Outlining the core competencies of a data scientist -- Linking data science, big data, and AI -- Understanding the role of programming -- Defining the Role of Data in the World -- Enticing people to buy products -- Keeping people safer -- Creating new technologies -- Performing analysis for research -- Providing art and entertainment -- Making life more interesting in other ways -- Creating the Data Science Pipeline -- Preparing the data -- Performing exploratory data analysis -- Learning from data -- Visualizing -- Obtaining insights and data products -- Comparing Different Languages Used for Data Science -- Obtaining an overview of data science languages -- Defining the pros and cons of using Python -- Defining the pros and cons of using R -- Learning to Perform Data Science Tasks Fast -- Loading data -- Training a model -- Viewing a result -- Chapter 2 Placing Data Science within the Realm of AI -- Seeing the Data to Data Science Relationship -- Considering the data architecture -- Acquiring data from various sources -- Performing data analysis -- Archiving the data -- Defining the Levels of AI -- Beginning with AI -- Advancing to machine learning -- Getting detailed with deep learning -- Creating a Pipeline from Data to AI -- Considering the desired output -- Defining a data architecture -- Combining various data sources -- Checking for errors and fixing them -- Performing the analysis -- Validating the result -- Enhancing application performance…”

“…In this Jupyter Notebook for Data Science Teams training course, expert author Jonathan Whitmore will teach you about Jupyter Notebook extensions, widgets, and team sharing. …”

Materias: “…Science Mathematics…”

“…Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. …”

Tabla de Contenidos: “…Analysis by using the least squares method in Python -- Summary -- Problems -- Analysis -- Time Series Analysis -- Business profits - analyzing trends -- Analysis -- Analyzing trends using the least squares method in Python -- Visualization -- Conclusion -- Electronics shop's sales - analyzing seasonality -- Analysis -- Analyzing trends using the least squares method in Python -- Visualization -- Analyzing seasonality -- Conclusion -- Summary -- Problems -- Analysis -- Python Reference -- Introduction -- Python Hello World example -- Comments -- Data types -- int -- float -- String -- Tuple -- List -- Set -- Dictionary -- Flow control -- Conditionals -- For loop -- For loop on range -- For loop on list -- Break and continue -- Functions -- Input and output -- Program arguments -- Reading and writing a file -- Statistics -- Basic concepts -- Bayesian inference -- Distributions -- Normal distribution -- Cross-validation -- K-fold cross-validation -- A/B testing -- Glossary of Algorithms and Methods in Data Science -- Other Books You May Enjoy -- Index…”

“…Key Features Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine learning concepts such as SVM, KNN classifiers, and Random Forests Discover how you can use web scraping to gather and parse your own bespoke datasets Book Description Getting started with data science doesn't have to be an uphill battle. Applied Data Science with Python and Jupyter is a step-by-step guide ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction to these concepts. …”

Tabla de Contenidos: “…Data Science at the Command Line and Setting It Up -- History of the command line -- We don't want to BaSH other shells, but... -- Language-focused shells -- So, why the command line? …”

Tabla de Contenidos: “…Front Cover; Contents; Foreword; Preface; Chapter 1: Introduction; Chapter 2: Introduction to Design Science Research in Information and Communication Technology; Chapter 3: Aggregate Design Science Research Cycle as a Perspective on the Evolution of Computing Communities of Interest; Chapter 4: A Framework for Theory Development in Design Science Research: Multiple Perspectives; Chapter 5: On Theory Development in Design Science Research: Anatomy of a Research Project; Chapter 6: Using Patterns to Illuminate Research Practice; Chapter 7: Creativity Patterns…”

Tabla de Contenidos: “…Introduction: The Data Science Process -- 2. Data Science and your business -- 3. …”

Materias:

Materias: “…Sports sciences Periodicals…”

Materias:

Tabla de Contenidos: “…Contents -- Introduction -- Team -- Introduction -- Scout -- Select -- Prepare -- Advance -- Organization -- Introduction -- Human resources -- Financial affairs -- Legal affairs -- Patent affairs -- Society -- Introduction -- Open science -- Citizen science -- Media -- Web profile -- Epilogue -- Further reading -- Acknowledgements…”

Materias: “…Science Periodicals…”

Materias: