James D. Miller - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks
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Practical Time Series Analysis. Prediction with Statistics and Machine Learning
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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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Deep Learning
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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 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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Uczenie maszynowe w C#. Szybkie, sprytne i solidne aplikacje
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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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Advanced Machine Learning with R. Tackle data analytics and machine learning challenges and build complex applications with R 3.5
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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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Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
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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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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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Machine Learning with R. Expert techniques for predictive modeling - Third 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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Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
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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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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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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 Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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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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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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TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0
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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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Python. Uczenie maszynowe. Wydanie II
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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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Deep Learning. Praca z językiem Python i biblioteką Keras
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Deep Learning. Praca z językiem R i biblioteką Keras
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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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Uczenie maszynowe w Pythonie. Receptury
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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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Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2
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Mastering Hadoop 3. Big data processing at scale to unlock unique business insights
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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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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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Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - 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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The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science
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Wprowadzenie do systemów baz danych. Wydanie VII
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Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
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Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python
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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
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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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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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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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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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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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Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
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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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Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed 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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Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances
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Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
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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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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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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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Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
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Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence
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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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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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Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
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Data science od podstaw. Analiza danych w Pythonie
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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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Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications
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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems. 2nd Edition
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Learning Kibana 7. Build powerful Elastic dashboards with Kibana's data visualization capabilities - Second Edition
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Big Data Processing with Apache Spark. Efficiently tackle large datasets and big data analysis with Spark and Python