Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems

Matthew Lamons, Rahul Kumar, Abhishek Nagaraja

Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning

David Julian, Sebastian Raschka, John Hearty

Python dla DevOps. Naucz się bezlitośnie skutecznej automatyzacji

Noah Gift, Kennedy Behrman, Alfredo Deza, Grig Gheorghiu

Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Soledad Galli

Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition

Alexander Combs, Michael Roman

Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition

Yuxi (Hayden) Liu

Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition

Yuxi (Hayden) Liu

Python Machine Learning By Example. Unlock machine learning best practices with real-world use cases - Fourth Edition

Yuxi (Hayden) Liu

Python Machine Learning Cookbook. Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets - Second Edition

Giuseppe Ciaburro, Prateek Joshi

Python. Machine learning i deep learning. Biblioteki scikit-learn i TensorFlow 2. Wydanie III

Sebastian Raschka, Vahid Mirjalili

Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition

Sebastian Raschka, Vahid Mirjalili

Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition

Sebastian Raschka, Vahid Mirjalili

Python Natural Language Processing Cookbook. Over 60 recipes for building powerful NLP solutions using Python and LLM libraries - Second Edition

Zhenya Antić, Saurabh Chakravarty

Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Sean Saito, Yang Wenzhuo, Rajalingappaa Shanmugamani

Python. Uczenie maszynowe

Sebastian Raschka

Python. Uczenie maszynowe. Wydanie II

Sebastian Raschka, Vahid Mirjalili

Python w uczeniu maszynowym

Matthew Kirk

PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

Sherin Thomas, Sudhanshu Passi

Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage

Antoine Jacquier, Oleksiy Kondratyev, Alexander Lipton, Marcos López de Prado

R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet

PKS Prakash, Achyutuni Sri Krishna Rao

R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition

Mark Hodnett, Joshua F. Wiley

R Deep Learning Projects. Master the techniques to design and develop neural network models in R

Yuxi (Hayden) Liu, Pablo Maldonado

R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment

Michele Usuelli

R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

Dr. Sunil Kumar Chinnamgari