Dragan Milcevski, Ashish Gupta, Ashish Gupta - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
-
Network Security Through Data Analysis. From Data to Action. 2nd Edition
-
Raportowanie w System Center Configuration Manager Bez tajemnic
-
Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
-
Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
-
Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
-
Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
-
Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
-
Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
-
Learning TensorFlow. A Guide to Building Deep Learning Systems
-
Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
-
Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
-
Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
-
Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
-
Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
-
Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
-
Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
-
Machine Learning for OpenCV. Intelligent image processing with Python
-
Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
-
Java: Data Science Made Easy. Data collection, processing, analysis, and more
-
Learning pandas. High performance data manipulation and analysis using Python - Second Edition
-
Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
-
QlikView for Developers. Design and build scalable and maintainable BI solutions
-
R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
-
Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
-
Data Science i uczenie maszynowe
-
Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
-
Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
-
Python Machine Learning By Example. The easiest way to get into machine learning
-
Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
-
Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
-
Python. Podstawy nauki o danych. Wydanie II
-
D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
-
Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
-
Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
-
Inteligentna sieć. Algorytmy przyszłości. Wydanie II
-
Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
-
Mastering Java for Data Science. Analytics and more for production-ready applications
-
Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
-
Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
-
Effective Amazon Machine Learning. Expert web services for machine learning on cloud
-
Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
-
Deep Learning with TensorFlow. Explore neural networks with Python
-
Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
-
Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
-
Kompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI
-
Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
-
Mastering Spark for Data Science. Lightning fast and scalable data science solutions
-
Learning Microsoft Cognitive Services. Click here to enter text
-
Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
-
Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
-
Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
-
QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
-
Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
-
Learning PySpark. Click here to enter text
-
Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
-
Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
-
TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
-
OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - Third Edition
-
Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
-
Tabular Modeling with SQL Server 2016 Analysis Services Cookbook. Create better operational analytics for your users with these business solutions
-
Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition
-
Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
-
Mastering Text Mining with R. Extract and recognize your text data
-
Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
-
Scientific Computing with Python 3. Click here to enter text
-
Fast Data Processing Systems with SMACK Stack. Click here to enter text
-
Efficient R Programming. A Practical Guide to Smarter Programming
-
Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
-
Bayesian Analysis with Python. Click here to enter text
-
R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
-
Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
-
Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
-
Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition
-
Analiza biznesowa. Praktyczne modelowanie organizacji
-
Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition
-
R: Unleash Machine Learning Techniques. Smarter data analytics
-
Julia for Data Science. high-performance computing simplified
-
Spark for Data Science. Click here to enter text
-
Introduction to Machine Learning with Python. A Guide for Data Scientists
-
Excel 2016 PL. Biblia
-
Splunk Best Practices. Operational intelligent made simpler
-
Hadoop: Data Processing and Modelling. Data Processing and Modelling
-
Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning
-
Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
-
Android High Performance Programming. Click here to enter text
-
Large Scale Machine Learning with Python. Click here to enter text
-
Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data
-
Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10
-
Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decision science
-
Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
-
Understanding Compression. Data Compression for Modern Developers
-
Simulation for Data Science with R. Effective Data-driven Decision Making
-
Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
-
Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
-
R: Data Analysis and Visualization. Click here to enter text
-
Advanced Splunk. Click here to enter text
-
Python: Real-World Data Science. Real-World Data Science
-
Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
-
Mastering Parallel Programming with R. Master the robust features of R parallel programming to accelerate your data science computations
-
Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
-
Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
-
R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
-
Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition
-
Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data
-
Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time
-
Google Analytics. Integracja i analiza danych
-
Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
-
Splunk Developer's Guide. Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide - Second Edition
-
Python Data Visualization Cookbook. Visualize data using Python's most popular libraries
-
Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones
-
Spark. Zaawansowana analiza danych
-
Data Analysis with Stata. Explore the big data field and learn how to perform data analytics and predictive modelling in STATA
-
Learning Bayesian Models with R. Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems
-
Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects
-
Creating Stunning Dashboards with QlikView. Bring real business insights to your company through effective and engaging dashboards in QlikView
-
Apache Mahout Clustering Designs. Explore clustering algorithms used with Apache Mahout
-
Hands-On Machine Learning with Scikit-Learn and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems
-
R for Data Science. Import, Tidy, Transform, Visualize, and Model Data
-
Poznajemy Sparka. Błyskawiczna analiza danych
