Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition

Alberto Boschetti, Luca Massaron

Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition

Soledad Galli

Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world

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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level

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QlikView 11 for Developers. This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide

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QlikView Essentials. Want to solve your Business Intelligence headaches? Learn how QlikView can help, and discover a powerful yet accessible BI solution that lets you harness your data

Chandraish Sinha

QlikView Unlocked. Unlock more than 50 amazing tips and tricks to enhance your QlikView skills

Andrew Dove, Roger Stone

R: Data Analysis and Visualization. Click here to enter text

Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi V. Mittal, ...

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

Yu-Wei, Chiu (David Chiu)

R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Dipanjan Sarkar, Raghav Bali

R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms

Nathan H. Danneman, Richard Heimann, Pradeepta Mishra, Bater Makhabel

Real-World Implementation of C# Design Patterns. Overcome daily programming challenges using elements of reusable object-oriented software

Bruce M. Van Horn II, Van Symons

Responsible AI in the Enterprise. Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI

Adnan Masood, Heather Dawe, Ed Price, Dr. Ehsan Adeli

Rola archiwów w procesie wdrażania systemów elektronicznego zarządzania dokumentacją. Z doświadczeń archiwów szkół wyższych, instytucji naukowych i kulturalnych oraz państwowych i samorządowych jednostek organizacyjnych

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Salesforce Platform App Builder Certification Handbook. A handy guide that covers the most essential topics for Salesforce Platform App Builder Certification in an easy-to-understand format

Siddhesh Kabe

SAP Data Services 4.x Cookbook. Delve into the SAP Data Services environment to efficiently prepare, implement, and develop ETL processes

Ivan Shomnikov, Stanislav Pereyaslov

Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java

Sinchan Banerjee

Scientific Computing with Python 3. Click here to enter text

Claus Führer, Jan Erik Solem, Olivier Verdier

Serverless Machine Learning with Amazon Redshift ML. Create, train, and deploy machine learning models using familiar SQL commands

Debu Panda, Phil Bates, Bhanu Pittampally, Sumeet Joshi, ...

Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych

Zhamak Dehghani

Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence

Anindita Mahapatra, Doug May

Skazany na sukces. Kariera w Data Science

Jacqueline Nolis, Emily Robinson

Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decision science

Jojo Moolayil

Solr Cookbook. Solve real-time problems related to Apache Solr 4.x and 5.0 effectively with the help of over 100 easy-to-follow recipes

Rafal Kuc