eBooki
W kategorii eBooki znajdziesz książki w postaci elektronicznej, w formie PDF, ePub oraz mobi. Po zakupie e-booka będzie on dostępny w Bibliotece na koncie użytkownika. Książki przeczytasz na laptopie, tablecie, smartfonie lub czytniku ebooków (Kindle, Pocketbook, inkBOOK, Prestigio i innych). Więcej na temat wykorzystania i zabezpieczenia eBooków znajdziesz na stronie "Przewodnik po eBookach".
Ebooki dostępne w księgarni Ebookpoint
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Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using 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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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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R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
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Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
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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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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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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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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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Artificial Intelligence for Robotics. Build intelligent robots that perform human tasks using AI techniques
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Hands-On Artificial Intelligence for Search. Building intelligent applications and perform enterprise searches
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Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition
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Hands-On Artificial Intelligence with Java for Beginners. Build intelligent apps using machine learning and deep learning with Deeplearning4j
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Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
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TensorFlow Machine Learning Cookbook. Over 60 recipes to build intelligent machine learning systems with the power of Python - Second Edition
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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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Learning Microsoft Cognitive Services. Use Cognitive Services APIs to add AI capabilities to your applications - Third Edition
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R Programming Fundamentals. Deal with data using various modeling techniques
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Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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CompTIA Security+ Certification Guide. Master IT security essentials and exam topics for CompTIA Security+ SY0-501 certification
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Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications
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Mastering Arduino. A project-based approach to electronics, circuits, and programming
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CompTIA Project+ Certification Guide. Learn project management best practices and successfully pass the CompTIA Project+ PK0-004 exam
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Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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Keras Reinforcement Learning Projects. 9 projects exploring popular reinforcement learning techniques to build self-learning agents
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Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market
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Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
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Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation
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Keras Deep Learning Cookbook. Over 30 recipes for implementing deep neural networks in Python
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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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Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems
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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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Machine Learning Projects for Mobile Applications. Build Android and iOS applications using TensorFlow Lite and Core ML
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Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
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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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Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow
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Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
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Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go
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Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances
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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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Computer Vision Projects with OpenCV and Python 3. Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
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Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras
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Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
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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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Hands-On Meta Learning with Python. Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
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Keras 2.x Projects. 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
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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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Learning Microsoft Cognitive Services. Click here to enter text
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Deep Learning with TensorFlow. Explore neural networks with Python
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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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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Machine Learning for OpenCV. Intelligent image processing with Python
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
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R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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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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Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
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Emotional Intelligence for IT Professionals. The must-have guide for a successful career in IT
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Neural Networks with R. Build smart systems by implementing popular deep learning models in R
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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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Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
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Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
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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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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second 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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Building Machine Learning Systems with Python. Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow - Third Edition
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Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition
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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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R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - 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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The Kaggle Book. Data analysis and machine learning for competitive data science
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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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Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems
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Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance
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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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TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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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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Dancing with Qubits. How quantum computing works and how it can change the world
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Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
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Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
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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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Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data
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Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition
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Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
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Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
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Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value
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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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Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
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Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition
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Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
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OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - Third Edition
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Tłumaczenie wspomagane komputerowo
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Przetwarzanie i analiza obrazów w systemach przemysłowych. Wybrane zastosowania
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Wprowadzenie do uczenia maszynowego według Esposito
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Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development
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Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense
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Machine Learning for Emotion Analysis in Python. Build AI-powered tools for analyzing emotion using natural language processing and machine learning
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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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TensorFlow Developer Certificate Guide. Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam
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Machine Learning with LightGBM and Python. A practitioner's guide to developing production-ready machine learning systems
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The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide
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Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
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Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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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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Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples
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Automated Machine Learning with Microsoft Azure. Build highly accurate and scalable end-to-end AI solutions with Azure AutoML
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale