Kacper Łukawski - 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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Deep Learning for Finance
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Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
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Probabilistic Machine Learning for Finance and Investing
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Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
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Głębokie uczenie. Wprowadzenie
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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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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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Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
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Matematyka dyskretna dla praktyków. Algorytmy i uczenie maszynowe w Pythonie
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Machine Learning for Financial Risk Management with Python
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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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Python. Machine learning i deep learning. Biblioteki scikit-learn i TensorFlow 2. Wydanie III
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Kubeflow Operations Guide
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Kubeflow for Machine Learning
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Machine Learning and Data Science Blueprints for Finance
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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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Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
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Tłumaczenie wspomagane komputerowo
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Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
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Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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Uczenie maszynowe z językiem JavaScript. Rozwiązywanie złożonych problemów
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Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
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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 Neural Networks with Keras. Design and create neural networks using deep learning and artificial intelligence principles
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TensorFlow Reinforcement Learning Quick Start Guide. Get up and running with training and deploying intelligent, self-learning agents using Python
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Python. Uczenie maszynowe. Wydanie II
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Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python
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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
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Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras
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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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Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition
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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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Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
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R Programming Fundamentals. Deal with data using various modeling techniques
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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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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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Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
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Beginning Swift. Master the fundamentals of programming in Swift 4
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Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning
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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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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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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Python. Uczenie maszynowe
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Neural Networks with R. Build smart systems by implementing popular deep learning models in R
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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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 TensorFlow. Explore neural networks with Python
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Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning
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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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Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
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Power Automate. Kurs video. Automatyzacja procesów biznesowych
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Konwolucyjne sieci neuronowe. Kurs video. Tensorflow i Keras w rozpoznawaniu obrazów
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Google Machine Learning and Generative AI for Solutions Architects. Build efficient and scalable AI/ML solutions on Google Cloud