Packt Publishing - ebooki
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.
Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.
As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
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Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
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Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
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Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis
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SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
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Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
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R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
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Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
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Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
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Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
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Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
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Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
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Analytics for the Internet of Things (IoT). Intelligent analytics for your intelligent devices
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Microsoft HoloLens Developer's Guide. A Complete Guide to HoloLens Application Development
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Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Machine Learning for OpenCV. Intelligent image processing with Python
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
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Java: Data Science Made Easy. Data collection, processing, analysis, and more
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Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition
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QlikView for Developers. Design and build scalable and maintainable BI solutions
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Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
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Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
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Learning pandas. High performance data manipulation and analysis using Python - Second Edition
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Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
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Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics
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Python Machine Learning By Example. The easiest way to get into machine learning
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Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
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Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
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Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
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Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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Mastering Android Game Development with Unity. Build high-end Android games with Unity's advanced features
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
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Mastering Java for Data Science. Analytics and more for production-ready applications
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Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
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Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
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Effective Amazon Machine Learning. Expert web services for machine learning on cloud
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Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
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Deep Learning with TensorFlow. Explore neural networks with Python
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Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
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Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
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Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python
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PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
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Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Building ERP Solutions with Microsoft Dynamics NAV. Solve business scenarios using NAV
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Learning Microsoft Cognitive Services. Click here to enter text
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Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks
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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
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Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition
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Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
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Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
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QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
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Learning PySpark. Click here to enter text
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Go Design Patterns. Best practices in software development and CSP
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition
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Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
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Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
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TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
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OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - Third Edition
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Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
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Tabular Modeling with SQL Server 2016 Analysis Services Cookbook. Create better operational analytics for your users with these business solutions
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Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition
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Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
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Mastering Text Mining with R. Extract and recognize your text data
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Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
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Scientific Computing with Python 3. Click here to enter text
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Fast Data Processing Systems with SMACK Stack. Click here to enter text
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
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Mastering RethinkDB. Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB
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Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
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Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
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Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not
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Bayesian Analysis with Python. Click here to enter text
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R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
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Learning R Programming. Language, tools, and practical techniques
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Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition
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R: Unleash Machine Learning Techniques. Smarter data analytics
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Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition
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Hadoop Blueprints. Click here to enter text
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Spark for Data Science. Click here to enter text
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Julia for Data Science. high-performance computing simplified
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Smart Internet of Things Projects. Click here to enter text
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Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
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Splunk Best Practices. Operational intelligent made simpler
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Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning
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Mastering Predictive Analytics with Python. Click here to enter text
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Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
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Learning Splunk Web Framework. Create, extend and publish real time Splunk applications
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Android High Performance Programming. Click here to enter text
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Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
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Large Scale Machine Learning with Python. Click here to enter text
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Machine Learning for the Web. Gaining insight and intelligence from the internet with Python