Marcin Szeliga - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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 Machine Learning with Microsoft Excel 2019. Build complete data analysis flows, from data collection to visualization
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PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily
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Applied Deep Learning with Keras. Solve complex real-life problems with the simplicity of Keras
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E-commerce na platformach ofertowych Allegro, eBay, Amazon
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W tym szaleństwie jest metoda. Powieść o zarządzaniu projektami
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Zawód front-end developer. 11 kroków do zostania webmasterem
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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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Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
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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 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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Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Second Edition
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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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Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models
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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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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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Python w uczeniu maszynowym
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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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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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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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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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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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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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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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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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Jak zarabiać na kryptowalutach
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Zegar Rozwiązywania Problemów
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Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
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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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Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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Mastering Arduino. A project-based approach to electronics, circuits, and programming
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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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Head First PMP. A Learner's Companion to Passing the Project Management Professional Exam. 4th Edition
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Technical Leadership. Od eksperta do lidera. Wydanie II poszerzone
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Narzędzia Google dla e-commerce. Wydanie II poszerzone
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Inżynieria wymagań. Studium przypadków
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Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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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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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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Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
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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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Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
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Język niemiecki w IT. Rozmówki
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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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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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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Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases
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Lean Product Management. Successful products from fuzzy business ideas
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Zarządzanie projektami dla początkujących. Jak zmienić wyzwanie w proste zadanie. Wydanie II
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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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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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Twoja firma w social mediach. Podręcznik marketingu internetowego dla małych i średnich przedsiębiorstw. Wydanie II
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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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Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition
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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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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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Mapping with ArcGIS Pro. Design accurate and user-friendly maps to share the story of your data
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Building Smart Drones with ESP8266 and Arduino. Build exciting drones by leveraging the capabilities of Arduino and ESP8266
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Fixing Bad UX Designs. Master proven approaches, tools, and techniques to make your user experience great again
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SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
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Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
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Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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Spark: The Definitive Guide. Big Data Processing Made Simple
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
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Computer Vision with OpenCV 3 and Qt5. Build visually appealing, multithreaded, cross-platform computer vision applications
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Kali Linux Wireless Penetration Testing Beginner's Guide. Master wireless testing techniques to survey and attack wireless networks with Kali Linux, including the KRACK attack - Third Edition
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Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition
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Blender 3D Printing by Example. Learn to use Blender's modeling tools for 3D printing by creating 4 projects
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Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
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Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
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R Programming By Example. Practical, hands-on projects to help you get started with R
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SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
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SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
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Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition
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Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
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Learning Apache Apex. Real-time streaming applications with Apex
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ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition
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Mastering Microsoft Dynamics CRM 2016. An advanced guide for effective Dynamics CRM customization and development
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Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
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R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
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Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
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Lean management po polsku. O dobrych i złych praktykach
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Building Web and Mobile ArcGIS Server Applications with JavaScript. Build exciting custom web and mobile GIS applications with the ArcGIS Server API for JavaScript - Second Edition
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Odoo 10 Implementation Cookbook. Explore the capabilities of Odoo and discover all you need to implement it
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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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Mistrz analizy danych. Od danych do wiedzy
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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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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Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Data Science i uczenie maszynowe
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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
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Stwórz swój pierwszy kurs online