Oleg Żero - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Uczenie maszynowe w języku R. Tworzenie i doskonalenie modeli - od przygotowania danych po dostrajanie, ewaluację i pracę z big data. Wydanie IV
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Eksploracja danych za pomocą Excela. Metody uczenia maszynowego krok po kroku
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Zaufanie do systemów sztucznej inteligencji
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Jak sztuczna inteligencja zmieni twoje życie
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The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions
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Uczenie maszynowe. Elementy matematyki w analizie danych
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Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
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Głębokie uczenie. Wprowadzenie
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Deep learning z TensorFlow 2 i Keras dla zaawansowanych. Sieci GAN i VAE, deep RL, uczenie nienadzorowane, wykrywanie i segmentacja obiektów i nie tylko. Wydanie II
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The Kaggle Book. Data analysis and machine learning for competitive data science
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Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
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Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms
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Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
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Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
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Kubeflow Operations Guide
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Python dla DevOps. Naucz się bezlitośnie skutecznej automatyzacji
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The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
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The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
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Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines
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Przetwarzanie i analiza obrazów w systemach przemysłowych. Wybrane zastosowania
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Tłumaczenie wspomagane komputerowo
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Głębokie uczenie z TensorFlow. Od regresji liniowej po uczenie przez wzmacnianie
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Praktyczne uczenie maszynowe
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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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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Machine Learning with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala
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Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
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Machine Learning with R. Expert techniques for predictive modeling - Third Edition
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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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Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
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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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Hands-On Machine Learning for Cybersecurity. Safeguard your system by making your machines intelligent using the Python ecosystem
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Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances
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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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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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Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
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Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
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Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
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Hands-On GUI Programming with C++ and Qt5. Build stunning cross-platform applications and widgets with the most powerful GUI framework
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Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition
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TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow
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TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
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Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
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Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala
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Computer Vision with OpenCV 3 and Qt5. Build visually appealing, multithreaded, cross-platform computer vision applications
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
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Data Science i uczenie maszynowe
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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Deep Learning with TensorFlow. Explore neural networks with Python
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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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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Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition
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Machine Learning with R. R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning
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Web scraping w Data Science. Kurs video. Uczenie maszynowe i architektura splotowych sieci neuronowych
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Data Science w Pythonie. Kurs video. Algorytmy uczenia maszynowego
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Machine Learning i język Python. Kurs video. Praktyczne wykorzystanie popularnych bibliotek
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Data Science w Pythonie. Kurs video. Przetwarzanie i analiza danych
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Technologie informatyczne a prawo. Prolegomena