Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi V. Mittal, Bater Makhabel, Edina Berlinger (EURO), Ferenc Illés, Ádám Banai, Gergely Daróczi, Barbara Dömötör, Gergely Gabler, Dániel Havran, Péter Juhász, Margitai István, Ágnes Tuza, Milán Badics, Kata Váradi, István Margitai, Péter Medvegyev, Agnes Vidovics-Dancs, Julia Molnár, Balázs Árpád Sz?+-cs, Balázs Márkus, Tamás Vadász - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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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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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
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Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
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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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Deep Learning. A Practitioner's Approach
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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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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
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Analytics for the Internet of Things (IoT). Intelligent analytics for your intelligent devices
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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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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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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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Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
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Learning pandas. High performance data manipulation and analysis using Python - Second Edition
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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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QlikView for Developers. Design and build scalable and maintainable BI solutions
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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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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
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Data Science i uczenie maszynowe
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Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
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Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
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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 Machine Learning By Example. The easiest way to get into machine learning
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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
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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 Android Game Development with Unity. Build high-end Android games with Unity's advanced features
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Python. Podstawy nauki o danych. Wydanie II
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second 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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Inteligentna sieć. Algorytmy przyszłości. Wydanie II
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Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
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Mastering Java for Data Science. Analytics and more for production-ready applications
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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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Kompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI
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Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Learning Microsoft Cognitive Services. Click here to enter text
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Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
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Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
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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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Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
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Zrozumieć BPMN. Modelowanie procesów biznesowych. Wydanie 2 rozszerzone
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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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Thoughtful Machine Learning with Python. A Test-Driven Approach
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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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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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Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
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Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
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Efficient R Programming. A Practical Guide to Smarter Programming
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Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI
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Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not
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Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
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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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Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
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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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Analiza biznesowa. Praktyczne modelowanie organizacji
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Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition
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R: Unleash Machine Learning Techniques. Smarter data analytics
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Hadoop Blueprints. Click here to enter text
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Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Excel 2016 PL. Biblia
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Splunk Best Practices. Operational intelligent made simpler
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Naczelny Algorytm. Jak jego odkrycie zmieni nasz świat
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Learning Splunk Web Framework. Create, extend and publish real time Splunk applications
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Mastering Predictive Analytics with Python. Click here to enter text
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Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning
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Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
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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
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Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10
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R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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Understanding Compression. Data Compression for Modern Developers
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Learning ArcGIS Runtime SDK for .NET. Build a GIS app Using ArcGIS Runtime SDK
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Simulation for Data Science with R. Effective Data-driven Decision Making
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Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
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Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
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R: Data Analysis and Visualization. Click here to enter text
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Hands-On Machine Learning with Scikit-Learn and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems
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R for Data Science. Import, Tidy, Transform, Visualize, and Model Data