Big data
Książki, ebooki, audiobooki, kursy video z kategorii: Big data dostępne w księgarni Ebookpoint
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Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
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Microsoft Excel 2019 Analiza i modelowanie danych biznesowych
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Managing Data Science. Effective strategies to manage data science projects and build a sustainable team
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Salesforce Advanced Administrator Certification Guide. Become a Certified Advanced Salesforce Administrator with this exam guide
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Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
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Praktyczne uczenie maszynowe
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PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python
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Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo
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Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition
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Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
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Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
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R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
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arc42 by Example. Software architecture documentation in practice
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Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS
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Hands-On Internet of Things with MQTT. Build connected IoT devices with Arduino and MQ Telemetry Transport (MQTT)
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Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
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Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques
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Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
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Practical Automated Machine Learning on Azure. Using Azure Machine Learning to Quickly Build AI Solutions
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Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks
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Programming PyTorch for Deep Learning. Creating and Deploying Deep Learning Applications
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Practical Data Science with SAP. Machine Learning Techniques for Enterprise Data
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Learn Power BI. A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI
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Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - Second Edition
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Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications
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SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
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Cloud Native. Using Containers, Functions, and Data to Build Next-Generation Applications
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Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
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Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python
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Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras
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Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
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Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
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Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R
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Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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Machine Learning for Finance. Principles and practice for financial insiders
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Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning
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Deep learning Głęboka rewolucja. Kiedy sztuczna inteligencja spotyka się z ludzką
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Deep Learning with R for Beginners. Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
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Mastering Machine Learning on AWS. Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow
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Advanced Machine Learning with R. Tackle data analytics and machine learning challenges and build complex applications with R 3.5
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PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily
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Hands-On Machine Learning with Microsoft Excel 2019. Build complete data analysis flows, from data collection to visualization
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Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
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Machine Learning for Data Mining. Improve your data mining capabilities with advanced predictive modeling
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Machine Learning with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala
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Applied Deep Learning with Keras. Solve complex real-life problems with the simplicity of Keras
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Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
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Machine Learning with R. Expert techniques for predictive modeling - Third Edition
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Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
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Mastering MongoDB 4.x. Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x - Second Edition
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Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
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Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
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Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
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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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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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Hands-On Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python
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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
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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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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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TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0
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Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5
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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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Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
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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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Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards
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Neural Network Projects with Python. The ultimate guide to using Python to explore the true power of neural networks through six projects
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Neural Networks with Keras Cookbook. Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
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Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
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Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
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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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Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2
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SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform
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The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science
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Hands-On Java Deep Learning for Computer Vision. Implement machine learning and neural network methodologies to perform computer vision-related tasks
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Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
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Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
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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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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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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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Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
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Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models
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Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
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Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
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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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Natural Language Processing with PyTorch. Build Intelligent Language Applications Using Deep Learning
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R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
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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 Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
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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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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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Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment
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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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QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
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Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
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Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
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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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Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
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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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Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib