Big data

Power BI i sztuczna inteligencja. Jak w pełni wykorzystać funkcje AI dostępne w Power BI

Mary-Jo Diepeveen

Power BI w praktyce. Przejdź na wyższy poziom analizy danych

Aleksandra Piśko-Pancerz

Power Excel with MrExcel. Master Pivot Tables, Subtotals, VLOOKUP, Power Query, Dynamic Arrays & Data Analysis

MrExcel's Holy Macro! Books, Bill Jelen

Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data

Andrea Janicijevic

Power Query w Excelu i Power BI. Zbieranie i przekształcanie danych

Gil Raviv

Power Query w Excelu i Power BI. Zbieranie i przekształcanie danych. Wydanie II

Daniil Maslyuk, Gil Raviv

Poznaj Microsoft Power BI. Przekształcanie danych we wnioski

Jeremey Arnold

Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V

Joshua N. Milligan

Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Nataraj Dasgupta

Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis

Ahmed Sherif

Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV

Abhinav Dadhich

Practical Convolutional Neural Networks. Implement advanced deep learning models using Python

Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari

Practical Data Analysis. For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that

Hector Cuesta

Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition

Hector Cuesta, Dr. Sampath Kumar

Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python

Marc Wintjen, Andrew Vlahutin

Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization

Robert Hawker, Nicola Askham

Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition

Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean...

Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics

Allan Visochek

Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production

Yong Liu, Dr. Matei Zaharia

Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more

Gábor Farkas

Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications

Valery Manokhin, Agus Sudjianto

Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified

Atul Tripathi

Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications

Brindha Priyadarshini Jeyaraman, Ludvig Renbo Olsen, Monicah...

Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more

Ralph Winters