Data mining

Predictive analytics has revolutionized marketing practice.

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.

Predictive analytics has revolutionized marketing practice.

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.

Master the essential skills of modern data analysis with this comprehensive guide to Python data wrangling, data cleaning, and business analytics.

What if belief requires only a sample of the truth—and the absolute truth is the unknowable?

Dive into DuckDB and start processing gigabytes of data with easeall with no data warehouse.

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.

Master core data analysis skills using Julia.

Summary Humans learn best from feedbackwe are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences.

Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks.

Summary Machine learning (ML) is a collection of programming techniques for discovering relationships in data.

Summary You are going to need more than technical knowledge to succeed as a data scientist.

Lead your demand planning process to excellence and deliver real value to your supply chain.

Learn statistics by analyzing professional basketball data!

Practice makes perfect pandas!

R is the most powerful tool you can use for statistical analysis.

A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples.

Massive modern datasets make traditional data structures and algorithms grind to a halt.

SummaryBeyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more.

Build predictive models from time-based patterns in your data.

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.

SummarySolr in Action is a comprehensive guide to implementing scalable search using Apache Solr.

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.

SummaryElasticsearch in Action teaches you how to build scalable search applications using Elasticsearch.

SummaryThe Mikado Method is a book written by the creators of this process.

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.

SummaryMondrian in Action teaches business users and developers how to use Mondrian and related tools for strategic business analysis.

SummaryTika in Action is a hands-on guide to content mining with Apache Tika.

SummaryIntroducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists.

SummaryPractical Probabilistic Programming introduces the working programmer to probabilistic programming.

SummaryOnline recommender systems help users find movies, jobs, restaurants-even romance!

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.

SummaryMahout in Action is a hands-on introduction to machine learning with Apache Mahout.

Think big about your data!

Take control of your wealth management by building your own reliable, effective, and automated financial advisor tool.

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!

A practical introduction to data engineering on the powerful Snowflake cloud data platform.

Forget abstract technical manuals and complicated diagrams.