M. - ebooki
Tytuły autora: M. dostępne w księgarni Ebookpoint
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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 with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala
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Mastering Ethereum. Implement advanced blockchain applications using Ethereum-supported tools, services, and protocols
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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 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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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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Hands-On Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python
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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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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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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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Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
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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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Mastering Microsoft Dynamics 365 Customer Engagement. An advanced guide to developing and customizing CRM solutions to improve your business applications - Second Edition
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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 Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on 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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Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
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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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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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Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
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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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R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
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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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Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain
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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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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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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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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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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
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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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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
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Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals
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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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Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
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Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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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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Architects of Intelligence. The truth about AI from the people building it
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Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
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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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Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence
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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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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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Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems
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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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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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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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Mastering Arduino. A project-based approach to electronics, circuits, and programming
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D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
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R Programming Fundamentals. Deal with data using various modeling techniques
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Head First PMP. A Learner's Companion to Passing the Project Management Professional Exam. 4th 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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Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps
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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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Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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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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Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
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Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
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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 Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning
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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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Modern Scala Projects. Leverage the power of Scala for building data-driven and high performance projects
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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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Enterprise Agility. Being Agile in a Changing World
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Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
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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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Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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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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Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
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Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer
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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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Beginning Swift. Master the fundamentals of programming in Swift 4
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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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Lean Product Management. Successful products from fuzzy business ideas
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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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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
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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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Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
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Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
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Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition
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Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
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Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition
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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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TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
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Working with Odoo 11. Configure, manage, and customize your Odoo system - Third Edition
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions
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TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow
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Deep Learning Quick Reference. Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
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Building Products for the Enterprise. Product Management in Enterprise Software