Scala for data science : leverage the power of Scala to build scalable, robust data science applications /
Jupyter Cookbook : Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more.
SQL for Data Analytics : Perform Fast and Efficient Data Analysis with the Power of SQL.
Learning Google BigQuery : a beginner's guide to mining massive datasets through interactive analysis /
Big data analytics with Java : big data analytics - massive, predictive, social and self-driving /
Professional Scala : combine object-oriented and functional programming to build high-performance applications /
Mastering Java for data science : building data science applications in Java /
Oracle Information integration, migration, and consolidation : the definitive guide to information integration and migration in a heterogeneous world : use Oracle technologies and best practices to manage, maintain, migrate, and mobilize data /
Hands-on data analysis with Pandas : efficiently perform data collection, wrangling, analysis, and visualization using Python /
R data mining : implement data mining techniques through practical use cases and real-world datasets /
Hands-on recommendation systems with Python : start building powerful and personalized, recommendation engines with Python /
Python Data Mining Quick Start Guide : a Beginner's Guide to Extracting Valuable Insights from Your Data.
Hands-on web scraping with Python : perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others /
Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation /
Python 3 and data analytics : pocket primer /
DATA WRANGLING USING PANDAS, SQL, AND JAVA
Python Data Cleaning Cookbook : Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights.
Data wrangling with Python : creating actionable data from raw sources /
Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python /
Linear Algebra Tools for Data Mining.
Knowledge mining using intelligent agents /
Agent-based computing /
Active mining : new directions of data mining /
Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /
Clinical data-mining in an allied health organisation : a real world experience /
Clinical data as the basic staple of health learning : creating and protecting a public good : workshop summary /
R data analysis projects : build end to end analytics systems to get deeper insights from your data /
Transforming healthcare with big data and AI /
Adaptive web sites : a knowledge extraction from web data approach /
Principles of data science : learn the techniques and math you need to start making sense of your data /
Data Science with Python : Combine Python with Machine Learning Principles to Discover Hidden Patterns in Raw Data.
Mastering Predictive Analytics with Scikit-Learn and TensorFlow : Implement Machine Learning Techniques to Build Advanced Predictive Models Using Python.
Applied data analytics : principles and applications /
Reality mining : using big data to engineer a better world /
Nonlinear integrals and their applications in data mining /
Pandas 1.x cookbook : practical recipes for scientific computing, time series analysis and exploratory data analysis using Python /
Biological data mining and its applications in healthcare /
Steps in Scala : an introduction to object-functional programming /
Learning concurrent programming in Scala : learn the art of building intricate, modern, scalable concurrent applications using Scala /
Programming in Scala /
Hands-On Data Analysis with Scala : Perform Data Collection, Processing, Manipulation, and Visualization with Scala.
Akka cookbook : make your application fast, concurrent, and reactive through exciting recipes /
Introduction to JVM languages : Java, Scala, Clojure, Kotlin, and Groovy /