Adi Polak - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
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Beginning Swift. Master the fundamentals of programming in Swift 4
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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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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Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python
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Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition
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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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TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow
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Machine Learning with Swift. Artificial Intelligence for iOS
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Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala
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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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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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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition
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Neural Networks with R. Build smart systems by implementing popular deep learning models in R
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Emotional Intelligence for IT Professionals. The must-have guide for a successful career in IT
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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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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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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Machine Learning for OpenCV. Intelligent image processing with Python
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Data Science i uczenie maszynowe
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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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Inteligentna sieć. Algorytmy przyszłości. Wydanie II
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Deep Learning with TensorFlow. Explore neural networks with Python
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Learning Microsoft Cognitive Services. Click here to enter text
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TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
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OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - 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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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning
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Large Scale Machine Learning with Python. Click here to enter text
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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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Learning Bayesian Models with R. Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems
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Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects
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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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Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition
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Zwinna analiza danych. Apache Hadoop dla każdego
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Scala for Machine Learning. Leverage Scala and Machine Learning to construct and study systems that can learn from data
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Uczenie maszynowe dla programistów
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R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment
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Practical Machine Learning: Innovations in Recommendation
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Practical Machine Learning: A New Look at Anomaly Detection
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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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Machine Learning for Hackers. Case Studies and Algorithms to Get You Started
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Machine Learning for Email. Spam Filtering and Priority Inbox
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Designing Data Visualizations. Representing Informational Relationships
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Power Automate. Kurs video. Automatyzacja procesów biznesowych
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Sztuczna inteligencja na froncie. Kurs video. Uczenie maszynowe w JavaScript
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Konwolucyjne sieci neuronowe. Kurs video. Tensorflow i Keras w rozpoznawaniu obrazów
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Data Science w Pythonie. Kurs video. Algorytmy uczenia maszynowego
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Data Science w Pythonie. Kurs video. Przetwarzanie i analiza danych
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Spark. Rozproszone uczenie maszynowe na dużą skalę. Jak korzystać z MLlib, TensorFlow i PyTorch
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Hands-On Machine Learning with Scikit-Learn and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems
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Building Machine Learning Systems with Python
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Data science, trudne elementy. Jak stać się ekspertem w danologii
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Matematyka w deep learningu. Co musisz wiedzieć, aby zrozumieć sieci neuronowe