Ivan Idris - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
-
Analytics for the Internet of Things (IoT). Intelligent analytics for your intelligent devices
-
Microsoft HoloLens Developer's Guide. A Complete Guide to HoloLens Application Development
-
Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
-
Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
-
Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
-
Java: Data Science Made Easy. Data collection, processing, analysis, and more
-
Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
-
Learning pandas. High performance data manipulation and analysis using Python - Second Edition
-
Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
-
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
-
Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics
-
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
-
Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
-
Mastering Android Game Development with Unity. Build high-end Android games with Unity's advanced features
-
D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
-
Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second 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 Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
-
Deep Learning with TensorFlow. Explore neural networks with Python
-
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
-
PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
-
Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
-
Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
-
Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
-
Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
-
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
-
Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition
-
Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
-
Zrozumieć BPMN. Modelowanie procesów biznesowych. Wydanie 2 rozszerzone
-
Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
-
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
-
Scientific Computing with Python 3. Click here to enter text
-
Apache Spark for Data Science Cookbook. Solve real-world analytical problems
-
Fast Data Processing Systems with SMACK Stack. Click here to enter text
-
Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
-
Mastering RethinkDB. Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB
-
Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
-
Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI
-
Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not
-
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
-
Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition
-
R: Unleash Machine Learning Techniques. Smarter data analytics
-
Hadoop Blueprints. Click here to enter text
-
Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
-
Spark for Data Science. Click here to enter text
-
Introduction to Machine Learning with Python. A Guide for Data Scientists
-
Naczelny Algorytm. Jak jego odkrycie zmieni nasz świat
-
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
-
Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
-
Large Scale Machine Learning with Python. Click here to enter text
-
Machine Learning for the Web. Gaining insight and intelligence from the internet with Python
-
Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10
-
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
-
Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
-
Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!
-
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
-
Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
-
OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara
-
Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition
-
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
-
Mastering .NET Machine Learning. Use machine learning in your .NET applications
-
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
-
R Data Science Essentials. R Data Science Essentials
-
Learning Hunk. A quick, practical guide to rapidly visualizing and analyzing your Hadoop data using Hunk
-
Elasticsearch Indexing. How to Improve User’s Search Experience
-
Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions
-
The New Relational Database Dictionary. Terms, Concepts, and Examples
-
Monitoring Docker. Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!
-
Python Data Visualization Cookbook. Visualize data using Python's most popular libraries
-
Spark. Zaawansowana analiza danych
-
Kibana Essentials. Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios
-
Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis
-
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
-
Data Analysis and Business Modeling with Excel 2013. Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information
-
Apache Mahout Clustering Designs. Explore clustering algorithms used with Apache Mahout
-
Mastering Data Analysis with R. Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization
-
Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R
-
Sharing Big Data Safely. Managing Data Security
-
Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark
-
Mastering Python for Data Science. Explore the world of data science through Python and learn how to make sense of data
-
Metody i techniki odkrywania wiedzy. Narzędzia CAQDAS w procesie analizy danych jakościowych
-
OpenGL Data Visualization Cookbook. Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL
-
Spark Cookbook. With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side
-
Creating a Data-Driven Organization
-
Analiza danych w naukach ścisłych i technice
-
Mastering matplotlib. A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
-
Effective Computation in Physics
-
ggplot2 Essentials. Explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs
-
NumPy: Beginner's Guide. Build efficient, high-speed programs using the high-performance NumPy mathematical library
-
Microsoft Azure Machine Learning. Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks
-
Mastering pandas for Finance. Master pandas, an open source Python Data Analysis Library, for financial data analysis
-
R for Data Science. Import, Tidy, Transform, Visualize, and Model Data
-
Poznajemy Sparka. Błyskawiczna analiza danych
-
NumPy Cookbook