Big data

siatka lista

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. Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

Sebastian Raschka

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. Advanced machine learning and deep learning techniques for natural language processing

Jalaj Thanaki

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

Zhenya Antić, Saurabh Chakravarty, Edward A. Fox

Python. Podstawy nauki o danych. Wydanie II

Alberto Boschetti, Luca Massaron

Python: Real World Machine Learning. Take your Python Machine learning skills to the next level

Prateek Joshi, Luca Massaron, John Hearty, Alberto...

Python: Real-World Data Science. Real-World Data Science

Fabrizio Romano, Dusty Phillips, Phuong Vo.T.H, Martin...

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

Sean Saito, Yang Wenzhuo, Rajalingappaa Shanmugamani

Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more

Siddhartha Chatterjee, Michal Krystyanczuk

Python. Uczenie maszynowe

Sebastian Raschka

Python. Uczenie maszynowe

Sebastian Raschka

Python. Uczenie maszynowe. Wydanie II

Sebastian Raschka, Vahid Mirjalili

Python w analizie danych. Przetwarzanie danych za pomocą pakietów pandas i NumPy oraz środowiska Jupyter. Wydanie III

Wes McKinney

Python w uczeniu maszynowym

Matthew Kirk