Ben Jones - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
-
Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
-
Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
-
Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
-
Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
-
Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
-
Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
-
Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
-
Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
-
Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
-
MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database
-
Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
-
Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
-
Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
-
Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
-
Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
-
Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python
-
Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
-
Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
-
fastText Quick Start Guide. Get started with Facebook's library for text representation and classification
-
Getting Started with Kudu. Perform Fast Analytics on Fast Data
-
PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
-
Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
-
Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
-
Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
-
Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence
-
Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
-
TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
-
Introduction to Machine Learning with R. Rigorous Mathematical Analysis
-
Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
-
R Deep Learning Projects. Master the techniques to design and develop neural network models in R
-
MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
-
Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
-
Spark: The Definitive Guide. Big Data Processing Made Simple
-
Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
-
Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale
-
Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
-
Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence
-
Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
-
SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
-
Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring
-
Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
-
Python. Uczenie maszynowe
-
R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
-
R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
-
Dane i Goliat. Ukryta bitwa o Twoje dane i kontrolę nad światem
-
Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning
-
Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
-
Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition
-
Modern R Programming Cookbook. Recipes to simplify your statistical applications
-
Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka
-
Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making
-
Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA
-
Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization
-
Learning Spark SQL. Architect streaming analytics and machine learning solutions
-
Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
-
MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
-
Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
-
Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
-
Deep Learning. A Practitioner's Approach
-
Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
-
Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
-
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
-
Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
-
Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
-
Python. Podstawy nauki o danych. Wydanie II
-
Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
-
Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
-
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
-
Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
-
Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks
-
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
-
Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition
-
Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
-
Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
-
Efficient R Programming. A Practical Guide to Smarter Programming
-
Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
-
Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
-
Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition
-
R: Unleash Machine Learning Techniques. Smarter data analytics
-
Spark for Data Science. Click here to enter text
-
Excel 2016 PL. Biblia
-
Mastering Predictive Analytics with Python. Click here to enter text
-
Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
-
R: Data Analysis and Visualization. Click here to enter text
-
Python: Real-World Data Science. Real-World Data Science
-
Data Analytics with Hadoop. An Introduction for Data Scientists
-
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
-
Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data
-
Google Analytics. Integracja i analiza danych
-
Advanced Oracle PL/SQL Developer's Guide. Master the advanced concepts of PL/SQL for professional-level certification and learn the new capabilities of Oracle Database 12c - Second Edition
-
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
-
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
-
Learning Couchbase. Design documents and implement real world e-commerce applications with Couchbase
-
Mastering Python Data Visualization. Generate effective results in a variety of visually appealing charts using the plotting packages in Python
-
Python Machine Learning. Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
-
Metody i techniki odkrywania wiedzy. Narzędzia CAQDAS w procesie analizy danych jakościowych
-
Analiza danych w naukach ścisłych i technice
-
Graph Databases. New Opportunities for Connected Data. 2nd Edition
-
Interactive Applications Using Matplotlib
-
Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
-
Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
-
Highcharts Essentials. Create interactive data visualization charts with the Highcharts JavaScript library
-
R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
-
Think Stats. 2nd Edition
-
Mathematica Data Visualization. Create and prototype interactive data visualizations using Mathematica
-
Nowe usługi 2.0. Przewodnik po analizie zbiorów danych
-
Python 3 Text Processing with NLTK 3 Cookbook
-
Mastering D3.js. Bring your data to life by creating and deploying complex data visualizations with D3.js
-
The Discipline of Organizing: Core Concepts Edition
-
The Discipline of Organizing: Professional Edition
-
Communicating Data with Tableau. Designing, Developing, and Delivering Data Visualizations
-
Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding