Practical Machine Learning with Python : A Problem-Solver’s...

Main
Computers
Practical Machine Learning with Python...

Practical Machine Learning with Python : A Problem-Solver’s Guide to Building Real-World Intelligent Systems

Bali, Raghav, Sarkar, Dipanjan, Sharma, Tushar

0 / 5.0

Avez-vous aimé ce livre?

Quelle est la qualité du fichier téléchargé?

Veuillez télécharger le livre pour apprécier sa qualité

Quelle est la qualité des fichiers téléchargés?

Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner.

Catégories:

Année:

2018

Editeur::

Apress

Langue:

english

Pages:

530

ISBN 10:

1484232070

ISBN 13:

9781484232071

Fichier:

EPUB, 6.22 MB

IPFS:

,

english, 2018

Lire en ligne

La conversion en est effectuée

La conversion en a échoué

Cela peut vous intéresser

Bashier, Eihab Bashier Mohammed; Khan, Muhammad Badruddin; Mohammed, Mohssen — Machine learning: algorithms and applications

Sumeet Dua, Xian Du — Data Mining and Machine Learning in Cybersecurity

Manohar Swamynathan — Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

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

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

Raghav Bali, Dipanjan Sarkar, Brett Lantz — R: Unleash Machine Learning Techniques

Sibanjan Das, Umit Mert Cakmak — Hands-On Automated Machine Learning: A Beginner’s Guide to Building Automated Machine Learning Systems Using AutoML and Python

Deepti Chopra — Building Machine Learning Systems Using Python: Practice to Train Predictive Models and Analyze Machine Learning Results with Real Use-Cases (English Edition)

Abhishek Mishra [Mishra, Abhishek] — Machine Learning for iOS Developers

Abhishek Mishra — Machine Learning for iOS Developers

AI Publishing — Data Science Crash Course for Beginners: Fundamentals and Practices with Python

Avinash Navlani, Armando Fandango, Ivan Idris — Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python

Panchtilak, K. — Programming Machine Learning. Machine Learning Basics Concepts

Gwendolyn Stripling — Low-Code AI

Brett Lantz — Machine Learning with R: Learn techniques for building and improving machine learning models, 4th Edition

Oliver Theobald — Machine Learning For Absolute Beginners: A Plain English Introduction

Yasha Hasija, Rajkumar Chakraborty — Hands on Data Science for Biologists Using Python

Gwendolyn Stripling — Low-Code AI: A Practical Project-Driven Introduction to Machine Learning

Abhishek Mishra — Machine Learning for iOS Developers

Abhishek Mishra [Mishra, Abhishek] — Machine Learning for iOS Developers

,,,, — Data Science with Jupyter: Master Data Science skills with easy-to-follow Python examples

Vasques, Xavier — Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines

Oliver Theobald — Machine Learning with Python

AI Publishing — Data Science Crash Course for Beginners: Fundamentals and Practices with Python

Avinash Navlani, Armando Fandango, Ivan Idris — Python Data Analysis Perform data collection, data processing, wrangling, visualization, and model building using Python

Abhishek Vijayvargia — Machine Learning with Python: Design and Develop Machine Learning and Deep Learning Technique using real world code examples

Lakshmi T C, Gnana, Shang, Madeleine — Hands-on Supervised Learning with Python: Learn How to Solve Machine Learning Problems with Supervised Learning

Teik Toe Teoh, Zheng Rong — Artificial Intelligence with Python (Machine Learning: Foundations, Methodologies, and Applications)

Mots Clefs

Les listes de livres associées