Daniel Vaughan - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
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The Machine Learning Solutions Architect Handbook. Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - Second Edition
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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition
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Effective Machine Learning Teams
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Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Delta Lake: Up and Running
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Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
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Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
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Practicing Trustworthy Machine Learning
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Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems
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Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition
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Generative Deep Learning. 2nd Edition
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Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
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Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way
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Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity - Fifth Edition
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TinyML. Wykorzystanie TensorFlow Lite do uczenia maszynowego na Arduino i innych mikrokontrolerach
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The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt
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Deep learning i modelowanie generatywne. Jak nauczyć komputer malowania, pisania, komponowania i grania
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Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
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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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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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Big data, nauka o danych i AI bez tajemnic. Podejmuj lepsze decyzje i rozwijaj swój biznes!
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Głębokie uczenie z TensorFlow. Od regresji liniowej po uczenie przez wzmacnianie
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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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Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world 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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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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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - 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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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
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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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TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
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Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
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Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
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Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
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Deep Learning. Praktyczne wprowadzenie
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Natural Language Processing with TensorFlow. Teach language to machines using Python's deep learning library
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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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TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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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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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Deep Learning. A Practitioner's Approach
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI
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Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning
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Sztuczna inteligencja na froncie. Kurs video. Uczenie maszynowe w JavaScript
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Applied Deep Learning on Graphs. Leveraging Graph Data to Generate Impact Using Specialized Deep Learning Architectures
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Generative Deep Learning. Teaching Machines to Paint, Write, Compose, and Play
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Machine Learning with R Cookbook
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Data science, trudne elementy. Jak stać się ekspertem w danologii