Ґері В. Левандовскi - ebooki
Tytuły autora: Ґері В. Левандовскi dostępne w księgarni Ebookpoint
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Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain
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Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
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Jak myślą inteligentne maszyny
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Człowiek na rozdrożu. Sztuczna inteligencja 25 punktów widzenia
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The Practitioner's Guide to Graph Data. Applying Graph Thinking and Graph Technologies to Solve Complex Problems
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Automatyczna analiza składnikowa języka polskiego
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Tłumaczenie wspomagane komputerowo
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The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
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The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition
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Power Query w Excelu i Power BI. Zbieranie i przekształcanie danych
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Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
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Podstawy wizualizacji danych. Zasady tworzenia atrakcyjnych wykresów
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Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition
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Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models
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Building Machine Learning Powered Applications. Going from Idea to Product
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CompTIA Security+ Practice Tests SY0-501. Practice tests in 4 different formats and 6 cheat sheets to help you pass the CompTIA Security+ exam
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Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
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Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R
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Analiza marketingowa. Praktyczne techniki z wykorzystaniem analizy danych i narzędzi Excela
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TinyML. Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
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TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe
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Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
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Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library
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Big data, nauka o danych i AI bez tajemnic. Podejmuj lepsze decyzje i rozwijaj swój biznes!
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Microsoft Excel 2019 Analiza i modelowanie danych biznesowych
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Microsoft Excel 2019 Przetwarzanie danych za pomocą tabel przestawnych
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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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Korporacyjne jezioro danych. Wykorzystaj potencjał big data w swojej organizacji
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Praktyczne uczenie maszynowe
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Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
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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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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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Algorytmy Data Science. Siedmiodniowy przewodnik. Wydanie II
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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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Programming PyTorch for Deep Learning. Creating and Deploying Deep Learning Applications
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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 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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Algorytmy uczenia maszynowego. Zaawansowane techniki implementacji
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Deep Learning. Receptury
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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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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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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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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Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R
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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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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 with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala
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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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Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
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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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Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
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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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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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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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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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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with 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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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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Data Wrangling with Python. Creating actionable data from raw sources
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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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Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
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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 Networks with Keras Cookbook. Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
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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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SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform
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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 Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems
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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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Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
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Cloud Analytics with Microsoft Azure. Build modern data warehouses with the combined power of analytics and Azure
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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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Generative Deep Learning. Teaching Machines to Paint, Write, Compose, and Play
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Deep learning Głęboka rewolucja. Kiedy sztuczna inteligencja spotyka się z ludzką