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
-
Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
-
Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
-
Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
-
Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
-
TensorFlow Machine Learning Cookbook. Over 60 recipes to build intelligent machine learning systems with the power of Python - Second Edition
-
Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
-
MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
-
Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
-
IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
-
Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization
-
Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
-
Keras Reinforcement Learning Projects. 9 projects exploring popular reinforcement learning techniques to build self-learning agents
-
Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
-
Voicebot and Chatbot Design. Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger
-
Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
-
Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
-
Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
-
R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
-
Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore
-
Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
-
Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
-
Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
-
Architects of Intelligence. The truth about AI from the people building it
-
Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
-
Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
-
Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
-
Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer
-
Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals
-
Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
-
Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go
-
Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
-
Apache Ignite Quick Start Guide. Distributed data caching and processing made easy
-
Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances
-
Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards
-
Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
-
Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
-
Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
-
Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
-
Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web
-
Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib
-
Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
-
Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
-
Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
-
Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
-
Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment
-
Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras
-
Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
-
Keras 2.x Projects. 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
-
TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
-
Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
-
Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
-
Learning PySpark. Click here to enter text
-
Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition
-
Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
-
Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
-
Learning Microsoft Cognitive Services. Click here to enter text
-
Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
-
Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
-
Deep Learning with TensorFlow. Explore neural networks with Python
-
Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
-
Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
-
Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
-
Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
-
Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters
-
Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
-
Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
-
Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
-
Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
-
Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition
-
QlikView for Developers. Design and build scalable and maintainable BI solutions
-
Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
-
Learning pandas. High performance data manipulation and analysis using Python - Second Edition
-
Machine Learning for OpenCV. Intelligent image processing with Python
-
Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
-
Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
-
Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
-
Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
-
Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
-
Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
-
Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
-
Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
-
Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
-
Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
-
Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools
-
Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization
-
Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
-
Emotional Intelligence for IT Professionals. The must-have guide for a successful career in IT
-
Neural Networks with R. Build smart systems by implementing popular deep learning models in R
-
Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making
-
Manage Your SAP Projects with SAP Activate. Implementing SAP S/4HANA
-
Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
-
Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition
-
Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
-
Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition
-
Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
-
Building Web and Mobile ArcGIS Server Applications with JavaScript. Build exciting custom web and mobile GIS applications with the ArcGIS Server API for JavaScript - Second Edition
-
MongoDB Administrator's Guide. Over 100 practical recipes to efficiently maintain and administer your MongoDB solution
-
Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning
-
Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
-
Continuous Integration, Delivery, and Deployment. Reliable and faster software releases with automating builds, tests, and deployment
-
Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
-
R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
-
R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
-
Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS
-
R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
-
ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition
-
Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring
-
SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
-
Blender 3D Printing by Example. Learn to use Blender's modeling tools for 3D printing by creating 4 projects
-
Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
-
Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
-
R Programming By Example. Practical, hands-on projects to help you get started with R
-
Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
-
Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence
-
Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition
-
Kali Linux Wireless Penetration Testing Beginner's Guide. Master wireless testing techniques to survey and attack wireless networks with Kali Linux, including the KRACK attack - Third Edition
-
Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition
-
Tabular Modeling with SQL Server 2016 Analysis Services Cookbook. Create better operational analytics for your users with these business solutions
-
Building Machine Learning Systems with Python. Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow - Third Edition
-
Continuous Delivery and DevOps - A Quickstart Guide. Start your journey to successful adoption of CD and DevOps - Third Edition