-
Hands-On Data Analysis with Pandas - Second
Get to grips with pandas - a fast, versatile, and high-performance Python library for data discovery, data manipulation, data preparation, and handling data for analytical tasksKey FeaturesPerform efficient data analysis and manipulation tasks using pandas 1.xApply pandas to different real-world dom.... -
Generative AI with Python and TensorFlow 2
Implement classical and deep learning generative models through practical examplesKey FeaturesExplore creative and human-like capabilities of AI and generate impressive resultsUse the latest research to expand your knowledge beyond this bookExperiment with practical TensorFlow 2.x implementations of.... -
The California Privacy Rights Act (CPRA) – An implementation and compliance guide
The California Privacy Rights Act (CPRA) – An implementation and compliance guide is essential reading. Not only does it serve as an introduction to the legislation, it also discusses the challenges a business may face when trying to achieve CPRA compliance. -
Author Jack Dougherty , Ilya Ilyankou
Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, an....
Release Date 2021/04 -
Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets
Get started using Apache Spark via C# or F# and the .NET for Apache Spark bindings. This book is an introduction to both Apache Spark and the .NET bindings. Readers new to Apache Spark will get up to speed quickly using Spark for data processing tasks performed against large and very large datasets..... -
R2DBC Revealed: Reactive Relational Database Connectivity for Java and JVM Programmers
Understand the newest trend in database programming for developers working in Java, Kotlin, Clojure, and other JVM-based languages. This book introduces Reactive Relational Database Connectivity (R2DBC), a modern way of connecting to and querying relational databases from Java and other JVM language.... -
PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries
Write optimized queries. This book helps you write queries that perform fast and deliver results on time. You will learn that query optimization is not a dark art practiced by a small, secretive cabal of sorcerers. Any motivated professional can learn to write efficient queries from the get-go and c.... -
MongoDB Performance Tuning: Optimizing MongoDB Databases and their Applications
Use this fast and complete guide to optimize the performance of MongoDB databases and the applications that depend on them. You will be able to turbo-charge the performance of your MongoDB applications to provide a better experience for your users, reduce your running costs, and avoid application gr.... -
CRAN Recipes: DPLYR, Stringr, Lubridate, and RegEx in R
Want to use the power of R sooner rather than later? Don’t have time to plow through wordy texts and online manuals? Use this book for quick, simple code to get your projects up and running. It includes code and examples applicable to many disciplines. Written in everyday language with a minimu.... -
Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages
Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in grap.... -
Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise.You'll begi.... -
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-.... -
AI Adoption in the Enterprise 2021
There's no question: more people are using AI than ever before, and companies across industries are striving to get AI projects up and running. But how many have actually put revenue-bearing products into production? And how does your own organization measure up? In this new report, Mike Loukides, .... -
IBM FlashSystem 9200 Product Guide
This IBM® Redbooks® Product Guide publication describes the IBM FlashSystem® 9200 solution, which is a comprehensive, all-flash, and NVMe-enabled enterprise storage solution that delivers the full capabilities of IBM FlashCore® technology. In addition, it provides a rich set of software-defined stor.... -
IBM FlashSystem 7200 Product Guide
This IBM® Redbooks® Product Guide publication describes the IBM FlashSystem® 7200 solution, which is a comprehensive, all-flash, and NVMe-enabled enterprise storage solution that delivers the full capabilities of IBM FlashCore® technology. In addition, it provides a rich set of software-defined stor.... -
Author Stephanie K. Ashenden
The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of discip....
Release Date 2021/04 -
Python Natural Language Processing Cookbook
Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualizationKey FeaturesAnalyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensimImplement common and not-so-common .... -
Artificial Intelligence for IoT Cookbook
Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT dataKey FeaturesDiscover quick solutions to common problems that you'll face while building smart IoT applicationsImplement advanced techniques such as computer vision, NLP, and embedded machine.... -
Data Preprocessing with Python for Absolute Beginners
This book is dedicated to data preparation and explains how to perform different data preparation techniques on various datasets using different data preparation libraries written in the Python programming language.Key FeaturesA crash course in Python to fill any gaps in prerequisite knowledge and a.... -
Python Machine Learning for Beginners
This course lays the foundations for both a theoretical and practical understanding of machine learning and artificial intelligence, utilizing Python as a beginner-friendly introduction and invitation to further studyKey FeaturesA crash course in Python programmingInteractive, guided practice throug.... -
Data Visualization with Python for Beginners
This book works as a guide to present fundamental Python libraries and basics related to data visualization using PythonKey FeaturesDetailed introductions to several data visualization libraries such as Matplotlib and SeabornGuided instructions to more advanced data visualization skills such as 3D p.... -
Python Machine Learning Workbook for Beginners
A practical guide to machine learning with Python through the presentation and guided completion of ten real-world projectsKey FeaturesStep-by-step roadmap to data science and machine learningA Python crash course in machine learning10 machine learning and data science projects for practical studyBo.... -
Statistics Crash Course for Beginners
A beginner-friendly crash course to statistics utilizing Python with an eye to preparing students for further study in machine learningKey FeaturesA quick introduction to Python for statisticsHands-on projects for guided practiceInstant access to PDFs, Python codes, exercises, and references on the .... -
Data Science Crash Course for Beginners
This course lays the groundwork for further study into data science with Python for those students with little to no experienceKey FeaturesCrash course in Python programming to build or refresh any gaps in prerequisite knowledgeReal-world projects for hands-on practice in various data science tasksA....