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 Patrick Murphy, ABHIJIT DASGUPTA, ...

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 on Databricks. Seamlessly transition ML models and MLOps on Databricks

Debu Sinha

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

Brindha Priyadarshini Jeyaraman, Ludvig Renbo Olsen, Monicah Wambugu

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

Ralph Winters

Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

Shilpi Saxena, Saurabh Gupta

Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE

Pethuru Raj Chelliah, Shreyash Naithani, Shailender Singh

Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools

Valentina Costa-Gazcón

Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python

Avishek Pal, PKS Prakash

Pracuj dla pieniędzy, projektuj dla przyjemności. Podręcznik freelancera

David Airey

Pragmatyczny programista. Od czeladnika do mistrza. Wydanie II

David Thomas, Andrew Hunt

Praktyczne lekcje zarządzania projektami

Michał Kopczewski

Praktyczne uczenie maszynowe w języku R

Fred Nwanganga, Mike Chapple

Praktyczne uczenie nienadzorowane przy użyciu języka Python

Ankur A. Patel

Praktyczne zarządzanie produktami dla właścicieli produktu. POSTAWY PROFESJONALNEGO WŁAŚCICIELA PRODUKTU PROWADZĄCE DO SUKCESU TWORZONYCH PRODUKTÓW

Chris Lukassen, Robbin Schuurman

Praktyczne zastosowanie narzędzi SEO w Twojej firmie

Paweł Cengiel

Prawo dla biznesu. E-commerce

Piotr Kantorowski, Paweł Głąb

Prawo dla startupu

Monika Wieczorek

Prawo dla twórców internetowych

Agnieszka Witońska-Pakulska