Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life

Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana

Microsoft SQL Server. Modelowanie i eksploracja danych

Danuta Mendrala, Marcin Szeliga

Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques

Karthikeyan NG, Arun Padmanabhan, Matt R. Cole

Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights

V Naresh Kumar, Prashant Shindgikar

Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python

Brian Lipp

Modern Time Series Forecasting with Python. Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas - Second Edition

Manu Joseph, Jeffrey Tackes, Christoph Bergmeir

MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions

Chintan Mehta, Ankit K Bhavsar, Hetal Oza, Subhash Shah

MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

Shabbir Challawala, Chintan Mehta, Kandarp Patel, Jaydip Lakhatariya

Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Bhargav Srinivasa-Desikan

Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results

Sohom Ghosh, Dwight Gunning

Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer

Nirant Kasliwal

Nowe usługi 2.0. Przewodnik po analizie zbiorów danych

Toby Segaran

Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools

Francesco Corti

PostgreSQL 10 High Performance. Expert techniques for query optimization, high availability, and efficient database maintenance - Third Edition

Enrico Pirozzi

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

Nataraj Dasgupta

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

Abhinav Dadhich

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

Avishek Pal, PKS Prakash

PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python

Denny Lee, Tomasz Drabas