Daniel Vaughan - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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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 Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
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Uczenie maszynowe z użyciem Scikit-Learn i TensorFlow
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Deep Learning. Praktyczne wprowadzenie
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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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Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
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Deep Learning Cookbook. Practical Recipes to Get Started Quickly
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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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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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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 Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x 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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Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
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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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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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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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OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - Third 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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Building a Recommendation System with R. Learn the art of building robust and powerful recommendation engines using R
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Moodle Grad
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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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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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Hands-On Machine Learning with Scikit-Learn and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems
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Data science, trudne elementy. Jak stać się ekspertem w danologii