As artificial intelligence (AI) permeates day-to-day life-influencing who is granted what type of healthcare, determining who is granted an employment interview or academic enrollment, or delivering what information to whom-it frames individuals and society.
This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks.
The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews.
Most of the research aimed at counterterrorism, fraud detection, or other forensic applications assumes that this is a specialized application domain for mainstream knowledge discovery.
This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an unknown that is in a state of relationship with another variable.
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data.
Shortlisted for the William Hill Sports Book of the Year Award 2022Football has always measured success by what you win, but only in the last twenty years have clubs started to think about how you win.
Este libro ofrece una visión general sobre los conceptos de Machine Learning y los fundamentos del análisis de datos mediante el lenguaje Python, haciendo uso de herramientas como NumPy, Pandas y Matplotlib.
Excel Data Analysis for Busy Professionals: A Step-by-Step Guide to Pivot Tables, Dashboards, Power Query, and Real-World Business Reporting (Beginner to Intermediate)Your reports shouldn't break five minutes before the meeting.
Complete eight data science projects that lock in important real-world skillsalong with a practical process you can use to learn any new technique quickly and efficiently.
Summary Humans learn best from feedbackwe are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences.
SummaryAlgorithms of the Intelligent Web, Second Edition teaches the most important approaches to algorithmic web data analysis, enabling you to create your own machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors and website logs.
SummaryData Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies.
SummaryBig Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.
SummaryDask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn.
SummaryGeoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data.
SummaryThink Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems.
Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, Open AI, Google, Hugging Face, and more!
