eBooki
W kategorii eBooki znajdziesz książki w postaci elektronicznej, w formie PDF, ePub oraz mobi. Po zakupie e-booka będzie on dostępny w Bibliotece na koncie użytkownika. Książki przeczytasz na laptopie, tablecie, smartfonie lub czytniku ebooków (Kindle, Pocketbook, inkBOOK, Prestigio i innych). Więcej na temat wykorzystania i zabezpieczenia eBooków znajdziesz na stronie "Przewodnik po eBookach".
Ebooki dostępne w księgarni Ebookpoint
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Apache Hive Essentials. Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive
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Mathematica Data Analysis. Learn and explore the fundamentals of data analysis with power of Mathematica
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Data Visualization with D3 and AngularJS. Build dynamic and interactive visualizations from real-world data with D3 on AngularJS
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Bayesian Analysis with Python. Click here to enter text
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Elasticsearch Indexing. How to Improve User’s Search Experience
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OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara
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Learning jqPlot. Learn how to create your very own rich and intuitive JavaScript data visualizations using jqPlot
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Learning Three.js - the JavaScript 3D Library for WebGL. Create stunning 3D graphics in your browser using the Three.js JavaScript library
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Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
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Getting Started with Simulink. Written by an experienced engineer, this book will help you utilize the great user-friendly features of Simulink to advance your modeling, testing, and interfacing skills. Packed with illustrations and step-by-step walkthroughs
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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
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Pentaho Data Integration Beginner's Guide. Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook - Second Edition
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Splunk Developer's Guide. Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide - Second Edition
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
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Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
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Monitoring Docker. Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!
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Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!
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IPython Interactive Computing and Visualization Cookbook. Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes
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Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
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Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools
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Python 3 Text Processing with NLTK 3 Cookbook
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Real-time Analytics with Storm and Cassandra. Solve real-time analytics problems effectively using Storm and Cassandra
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Mastering D3.js. Bring your data to life by creating and deploying complex data visualizations with D3.js
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Building Machine Learning Systems with Python. Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need
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Practical Data Analysis. For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that
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Data Analysis with Stata. Explore the big data field and learn how to perform data analytics and predictive modelling in STATA
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QlikView for Developers Cookbook. Take your QlikView training to the next level with this brilliant book that's packed with recipes which progress from intermediate to advanced. The step-by step-approach makes learning easy and enjoyable
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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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matplotlib Plotting Cookbook. Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality
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Mathematica Data Visualization. Create and prototype interactive data visualizations using Mathematica
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Python: Real-World Data Science. Real-World Data Science
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Simulation for Data Science with R. Effective Data-driven Decision Making
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Learning Predictive Analytics with Python. Click here to enter text
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
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AI & Data Literacy. Empowering Citizens of Data Science
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Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
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Building Data Science Teams
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Real-Time Big Data Analytics: Emerging Architecture
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Planning for Big Data
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Data Jujitsu: The Art of Turning Data into Product
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How Data Science Is Transforming Health Care
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What Is Data Science?
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Big Data Now: 2012 Edition. 2nd Edition
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Big Data Now: Current Perspectives from O'Reilly Radar
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Business Models for the Data Economy
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Disruptive Possibilities: How Big Data Changes Everything
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The Evolution of Data Products
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On Being a Data Skeptic
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
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Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
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Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau
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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
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Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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Python. Podstawy nauki o danych. Wydanie II
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Uczenie maszynowe dla programistów
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Zwinna analiza danych. Apache Hadoop dla każdego
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Data Analytics with Hadoop. An Introduction for Data Scientists
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Understanding Compression. Data Compression for Modern Developers
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
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Efficient R Programming. A Practical Guide to Smarter Programming
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Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Data Science i uczenie maszynowe
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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
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Deep Learning. A Practitioner's Approach
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Network Security Through Data Analysis. From Data to Action. 2nd Edition
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Making Data Visual. A Practical Guide to Using Visualization for Insight
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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Spark: The Definitive Guide. Big Data Processing Made Simple
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Introduction to Machine Learning with R. Rigorous Mathematical Analysis
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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Practical Tableau. 100 Tips, Tutorials, and Strategies from a Tableau Zen Master
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Deep Learning Cookbook. Practical Recipes to Get Started Quickly
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition
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R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
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Streaming Data Mesh
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Embedded Analytics
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21 Recipes for Mining Twitter. Distilling Rich Information from Messy Data
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Developing with Couchbase Server. Building Scalable, Flexible Database-Based Applications
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Harnessing Hibernate
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Designing Data Visualizations. Representing Informational Relationships
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Learning R. A Step-by-Step Function Guide to Data Analysis
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Visualizing Data. Exploring and Explaining Data with the Processing Environment
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Getting Started with CouchDB. Extreme Scalability at Your Fingertips
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Learning SPARQL. Querying and Updating with SPARQL 1.1. 2nd Edition
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Communicating Data with Tableau. Designing, Developing, and Delivering Data Visualizations
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Enterprise Data Workflows with Cascading. Streamlined Enterprise Data Management and Analysis
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Enterprise SOA. Designing IT for Business Innovation