Ґері В. Левандовскi - ebooki
Tytuły autora: Ґері В. Левандовскi dostępne w księgarni Ebookpoint
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Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
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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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Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
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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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Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications
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NoSQL, NewSQL i BigData. Bazy danych następnej generacji
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Natural Language Processing with PyTorch. Build Intelligent Language Applications Using Deep Learning
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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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R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
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Storytelling danych. Poradnik wizualizacji danych dla profesjonalistów
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Python w uczeniu maszynowym
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Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras
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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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Keras 2.x Projects. 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
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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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Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
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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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Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
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Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web
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Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
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Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
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Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
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Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
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Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go
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Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals
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Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
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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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Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
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Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer
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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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Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow
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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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Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
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Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction
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Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition
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Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
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Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation
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Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence
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Keras Deep Learning Cookbook. Over 30 recipes for implementing deep neural networks in Python
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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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Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems
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Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore
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R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
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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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Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
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R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition
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Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
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Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
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CompTIA Security+ Certification Guide. Master IT security essentials and exam topics for CompTIA Security+ SY0-501 certification
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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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Keras Reinforcement Learning Projects. 9 projects exploring popular reinforcement learning techniques to build self-learning agents
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Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
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Voicebot and Chatbot Design. Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger
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Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
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Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization
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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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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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Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
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D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
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Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
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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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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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TensorFlow Machine Learning Cookbook. Over 60 recipes to build intelligent machine learning systems with the power of Python - Second Edition
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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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Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
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R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition
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Uczenie maszynowe z użyciem Scikit-Learn i TensorFlow
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Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
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Building Machine Learning Systems with Python. Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow - Third Edition
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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 Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python
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Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
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Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs
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Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
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Deep Learning. Praktyczne wprowadzenie
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Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
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Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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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 Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
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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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Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
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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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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Mastering Machine Learning for Penetration Testing. Develop an extensive skill set to break self-learning systems using Python
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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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Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer
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Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
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Deep Learning Cookbook. Practical Recipes to Get Started Quickly
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Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases
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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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Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
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Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud
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Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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Big Data Processing with Apache Spark. Efficiently tackle large datasets and big data analysis with Spark and Python