Analiza danych

Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha. Wydanie II

John Walkenbach, Michael Alexander

Analiza marketingowa. Praktyczne techniki z wykorzystaniem analizy danych i narzędzi Excela

Wayne L. Winston

Android High Performance Programming. Build fast and efficient Android apps that run as reliably as clockwork in a multi-device world

Enrique López Manas, Diego Grancini

Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics

Hrishikesh Vijay Karambelkar

Apache Hive Essentials. Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

Dayong Du

Apache Ignite Quick Start Guide. Distributed data caching and processing made easy

Sujoy Acharya

Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data

Raúl Estrada

Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications

Raúl Estrada

Apache Mahout Clustering Designs. Explore clustering algorithms used with Apache Mahout

Dragan Milcevski, Ashish Gupta, Ashish Gupta

Apache Oozie Essentials. Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go

Jagat Jasjit Singh

Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark

Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla,...

Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics

Rishi Yadav

Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs

Sourav Gulati, Sumit Kumar

Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow

Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan...

Apache Spark for Data Science Cookbook. Solve real-world analytical problems

Padma Priya Chitturi

Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark

Rindra Ramamonjison, Rindra Ramamonjison

Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide

Alex Liu

Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark

Shrey Mehrotra, Akash Grade

Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards

Shashank Shekhar

Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data

Alex Galea

Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots

Dr. Tania Moulik

Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques

Balu Nair, Sumit Ranjan, Dr. S. Senthamilarasu

Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

Alok Malik, Bradford Tuckfield

arc42 by Example. Software architecture documentation in practice

Gernot Starke, Michael Simons, Stefan Zörner, Ralf...