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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Natural Language Processing with PyTorch. Build Intelligent Language Applications Using Deep Learning
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The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science
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Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications
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Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web
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Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python
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Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
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Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition
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Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
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Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems
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Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition
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Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
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Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
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Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
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R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
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Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
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Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition
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Data Wrangling with Python. Creating actionable data from raw sources
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Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Second Edition
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Mastering Hadoop 3. Big data processing at scale to unlock unique business insights
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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework
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Building Computer Vision Projects with OpenCV 4 and C++. Implement complex computer vision algorithms and explore deep learning and face detection
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TensorFlow Reinforcement Learning Quick Start Guide. Get up and running with training and deploying intelligent, self-learning agents using Python
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TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0
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Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R
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Hands-On Neural Networks with Keras. Design and create neural networks using deep learning and artificial intelligence principles
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Python Machine Learning Cookbook. Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets - Second Edition
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Mastering OpenCV 4 with Python. A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
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Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
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OpenCV 3.x with Python By Example. Make the most of OpenCV and Python to build applications for object recognition and augmented reality - Second Edition
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MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration
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Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases
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Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
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Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
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Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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Hands-On Computer Vision with Julia. Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
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Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
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Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
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Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning
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Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning
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Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python
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Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
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Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
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Machine Learning with Core ML. An iOS developer's guide to implementing machine learning in mobile apps
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Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition
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Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
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Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
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Mapping with ArcGIS Pro. Design accurate and user-friendly maps to share the story of your data
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Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
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PostgreSQL 10 High Performance. Expert techniques for query optimization, high availability, and efficient database maintenance - Third Edition
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Reinforcement Learning with TensorFlow. A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
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Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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Building Smart Drones with ESP8266 and Arduino. Build exciting drones by leveraging the capabilities of Arduino and ESP8266
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Machine Learning with Swift. Artificial Intelligence for iOS
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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
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Artificial Intelligence for Robotics. Build intelligent robots that perform human tasks using AI techniques
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Hands-On Artificial Intelligence for Search. Building intelligent applications and perform enterprise searches
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Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps
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Hands-On Artificial Intelligence with Java for Beginners. Build intelligent apps using machine learning and deep learning with Deeplearning4j
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Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
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Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
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Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
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Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
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Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features
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D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
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Learning Microsoft Cognitive Services. Use Cognitive Services APIs to add AI capabilities to your applications - Third Edition
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R Programming Fundamentals. Deal with data using various modeling techniques
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Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
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Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
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Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications
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Mastering Arduino. A project-based approach to electronics, circuits, and programming
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MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database
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CompTIA Project+ Certification Guide. Learn project management best practices and successfully pass the CompTIA Project+ PK0-004 exam
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Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python
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Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market
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Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation
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Keras Deep Learning Cookbook. Over 30 recipes for implementing deep neural networks in Python
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Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
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Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems
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Machine Learning Projects for Mobile Applications. Build Android and iOS applications using TensorFlow Lite and Core ML
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PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction
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Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
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Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
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TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
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Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow
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Hands-On Geospatial Analysis with R and QGIS. A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
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QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
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Computer Vision Projects with OpenCV and Python 3. Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
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Hands-On Machine Learning for Cybersecurity. Safeguard your system by making your machines intelligent using the Python ecosystem
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Hands-On Meta Learning with Python. Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
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Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
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Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain
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Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
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Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition
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Go Design Patterns. Best practices in software development and CSP
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Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
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PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
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Effective Amazon Machine Learning. Expert web services for machine learning on cloud
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Mastering Java for Data Science. Analytics and more for production-ready applications
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Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
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Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics