Matheus Facure - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
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Hands-On Computer Vision with Julia. Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
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Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
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Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
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Machine Learning with Core ML. An iOS developer's guide to implementing machine learning in mobile apps
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Deep Learning Cookbook. Practical Recipes to Get Started Quickly
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Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases
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Beginning Swift. Master the fundamentals of programming in Swift 4
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Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
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Natural Language Processing with TensorFlow. Teach language to machines using Python's deep learning library
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Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models
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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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Reinforcement Learning with TensorFlow. A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
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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 for Deep Learning. From Linear Regression to Reinforcement Learning
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Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
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Machine Learning with Swift. Artificial Intelligence for iOS
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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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Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
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Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
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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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Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition
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Python. Uczenie maszynowe
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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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Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
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Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition
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Machine Learning with R Cookbook. Analyze data and build predictive models - 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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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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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
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Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
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Deep Learning. A Practitioner's Approach
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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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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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Naczelny Algorytm. Jak jego odkrycie zmieni nasz świat
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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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Apache Mahout Essentials. Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout
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Microsoft Azure Machine Learning. Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks
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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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Natural Language Annotation for 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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Web scraping w Data Science. Kurs video. Uczenie maszynowe i architektura splotowych sieci neuronowych
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Konwolucyjne sieci neuronowe. Kurs video. Tensorflow i Keras w rozpoznawaniu obrazów
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Machine Learning i język Python. Kurs video. Praktyczne wykorzystanie popularnych bibliotek
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Wnioskowanie przyczynowe w Pythonie. Praktyczne wykorzystanie w branży technologicznej
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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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Matematyka w deep learningu. Co musisz wiedzieć, aby zrozumieć sieci neuronowe