Thomas Newton, Oscar Villarreal - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
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Python. Uczenie maszynowe. Wydanie II
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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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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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The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science
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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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Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
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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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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
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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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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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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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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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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
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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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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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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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Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
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Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
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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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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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Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
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Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
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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 Quick Reference. A guide to exploring decentralized blockchain application development
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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 Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
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Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer
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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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Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
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Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python
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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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Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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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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Machine Learning with Swift. Artificial Intelligence for iOS
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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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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IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
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Learning PostgreSQL 10. A beginner’s guide to building high-performance PostgreSQL database solutions - Second Edition
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Learning Apache Apex. Real-time streaming applications with Apex
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Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
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Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics
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MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
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Modern R Programming Cookbook. Recipes to simplify your statistical applications
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Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
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Neural Networks with R. Build smart systems by implementing popular deep learning models in R
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Apache Spark 2.x Machine Learning Cookbook. Over 100 recipes to simplify machine learning model implementations with Spark
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
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Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
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Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
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Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
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Java: Data Science Made Easy. Data collection, processing, analysis, and more
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Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
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Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
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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. Podstawy nauki o danych. Wydanie II
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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Inteligentna sieć. Algorytmy przyszłości. Wydanie II
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Mastering Java for Data Science. Analytics and more for production-ready applications
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Effective Amazon Machine Learning. Expert web services for machine learning on cloud
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Kompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
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QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
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Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
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Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition
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Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
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Bayesian Analysis with Python. Click here to enter text
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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
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Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
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Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition
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R: Unleash Machine Learning Techniques. Smarter data analytics
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Spark for Data Science. Click here to enter text
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Excel 2016 PL. Biblia
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Large Scale Machine Learning with Python. Click here to enter text
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Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data
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Understanding Compression. Data Compression for Modern Developers
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Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
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R: Data Analysis and Visualization. Click here to enter text
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Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
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R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
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Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition
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Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data
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Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones
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Building a Recommendation System with R. Learn the art of building robust and powerful recommendation engines using R
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Metody i techniki odkrywania wiedzy. Narzędzia CAQDAS w procesie analizy danych jakościowych
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Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
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Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
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HDInsight Essentials. Learn how to build and deploy a modern big data architecture to empower your business
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Learning D3.js Mapping. Build stunning maps and visualizations using D3.js
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Big Data Processing with Apache Spark. Efficiently tackle large datasets and big data analysis with Spark and Python
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Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding