İanələr 15 sentyabr 2024 – 1 oktyabr 2024 Vəsaitlərin toplanılması haqqında

Python Machine Learning

Main
Computers - Cybernetics
Python Machine Learning

Python Machine Learning

Sebastian Raschka, Vahid Mirjalili

0 / 0

Bu kitabı nə dərəcədə bəyəndiniz?

Yüklənmiş faylın keyfiyyəti necədir?

Kitabın keyfiyyətini qiymətləndirə bilmək üçün onu yükləyin

Yüklənmiş faylların keyfiyyəti necədir?

Kateqoriyalar:

Computers - Cybernetics

Tom:

2nd ed

İl:

2017

Nəşriyyat:

Packt Publishing

Dil:

english

Səhifələr:

850

Fayl:

PDF, 20.52 MB

IPFS:

,

english, 2017

Onlayn oxumaq

formatına konvertasiya yerinə yetirilir

formatına konvertasiya baş tutmadı

Bəlkə Sizə maraqlıdır

Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola — Dive into Deep Learning

Sebastian Raschka, Vahid Mirjalili — Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-Learn

Oliver Theobald — Statistics for Absolute Beginners (Second Edition)

David Foster — Generative Deep Learning

Sebastian Raschka, PhD — Machine Learning Q and AI

Rajender Kumar — Python Machine Learning: A Beginner's Guide to Scikit-Learn

Kai Nacke, Amy Kwan — Learn LLVM 17

Trevor Hastie, Robert Tibshirani, Jerome Friedman — The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Воробьёв В.В. (ред.) — Системы управления летательных аппаратов

Sebastian Raschka, Robert Layton, Martin Czygan, Phuong Vo.T.H, Fabrizio Romano, Dusty Phillips — Python: Real-World Data Science

Andrew Ng — Machine Learning Yearning (Draft Version)

Moubachir Madani Fadoul — Python Machine Learning: Machine Learning And Deep Learning From Scratch Illustrated With Python, Scikit-Learn, Keras, Theano And Tensorflow

Andrew Ng — Machine Learning Yearning

Max Lungarella; Fumiya Iida; Josh Bongard; Rolf Pfeifer (Editors) — 50 Years of Artificial Intelligence: Essays Dedicated to the 50th Anniversary of Artificial Intelligence

Judea Pearl — Heuristics: intelligent search strategies for computer problem solving

Sutton, Richard S., Barto, Andrew G. — Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)

Joaquin QuiÃ±onero-Candela, Masashi Sugiyama, Anton Schwaighofer, Neil D. Lawrence — Dataset Shift in Machine Learning

Christopher M. Bishop — Pattern Recognition and Machine Learning

Toby Segaran — Programming Collective Intelligence - Building Smart Web 2.0 Applications

Arthur Glenberg, Arthur M. Glenberg, Matthew Andrzejewski — Learning From Data: An Introduction to Statistical Reasoning, Third Edition

Wes McKinney — Python for Data Analysis, 3rd Edition (Second Early Release)

Jake VanderPlas — Python Data Science Handbook, 2nd Edition (Second Early Release)

Jake VanderPlas — Python Data Science Handbook: Essential Tools for Working with Data, 2nd Edition

Aurélien Géron — Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (Third Early Release)

Zhi-Hua Zhou — Ensemble Methods: Foundations and Algorithms

Andreas C. Müller, Sarah Guido — Introduction to Machine Learning with Python: A Guide for Data Scientists

Nikhil Buduma, Nicholas Locascio — Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Chris Albon — Machine learning with Python cookbook : practical solutions from preprocessing to deep learning

Aurélien Géron — Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Xuan F. Zha — Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications

Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin — Learning From Data: A short course

Sebastian Raschka — Build a Large Language Model (From Scratch) (MEAP)

Raschka, Sebastian — Machine Learning And Ai Beyond The Basics

Sebastian Raschka — Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

Raúl Garreta, Guillermo Moncecchi — Learning scikit-learn: Machine Learning in Python

Yuxi (Hayden) Liu — Python Machine Learning by Example

Sebastian Raschka — Python Machine Learning

Luis Pedro Coelho, Willi Richert — Building Machine Learning Systems with Python, 2nd Edition: Get more from your data through creating practical machine learning systems with Python

Nitin Hardeniya — NLTK Essentials: Build cool NLP and machine learning applications using NLTK and other Python libraries

John Hearty — Advanced Machine Learning with Python

Atul Tripathi — Practical machine learning cookbook

Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton, Sebastian Raschka — Python: Real-World Data Science

Açar ifadələr

Əlaqəli Kitab Siyahıları