Adam Raźniewski - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis
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Serverless Machine Learning with Amazon Redshift ML. Create, train, and deploy machine learning models using familiar SQL commands
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Mastering Tableau 2023. Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau - Fourth Edition
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Responsible AI in the Enterprise. Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Spark. Błyskawiczna analiza danych. Wydanie II
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Codeless Time Series Analysis with KNIME. A practical guide to implementing forecasting models for time series analysis applications
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The Machine Learning Solutions Architect Handbook. Create machine learning platforms to run solutions in an enterprise setting
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Big Data. Krótkie Wprowadzenie 30
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Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
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Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
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Algorytmy Data Science. Siedmiodniowy przewodnik. Wydanie II
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Anonimizacja i maskowanie danych wrażliwych w przedsiębiorstwach
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
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Fast Data Processing Systems with SMACK Stack. Click here to enter text
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Mastering Tableau. Smart Business Intelligence techniques to get maximum insights from your data
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NoSQL. Przyjazny przewodnik
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R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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R: Data Analysis and Visualization. Click here to enter text
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Advanced Splunk. Click here to enter text
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Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
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Designing Machine Learning Systems with Python. Key design strategies to create intelligent systems
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The New Relational Database Dictionary. Terms, Concepts, and Examples
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Learning Redis. Design efficient web and business solutions with Redis
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PostgreSQL Server Programming. Extend PostgreSQL using PostgreSQL server programming to create, test, debug, and optimize a range of user-defined functions in your favorite programming language
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NoSQL. Kompendium wiedzy
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Pentaho Data Integration Beginner's Guide. Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook - Second Edition
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Hurtownie danych. Od przetwarzania analitycznego do raportowania
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Database Design and Relational Theory. Normal Forms and All That Jazz
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Bazy danych. Pierwsze starcie
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The Relational Database Dictionary. A Comprehensive Glossary of Relational Terms and Concepts, with Illustrative Examples
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Database in Depth. Relational Theory for Practitioners
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Elasticsearch. Kurs video. Pozyskiwanie i analiza danych
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Linux Server. Kurs video. Usługi serwerowe, skrypty i środowisko graficzne