A Handbook of Mathematical Models with Python : Elevate your machine learning projects with NetworkX, PuLP, and linalg

A Handbook of Mathematical Models with Python : Elevate your machine learning projects with NetworkX, PuLP, and linalg

Enregistré dans:

Détails bibliographiques
Auteur principal:	Sarkar, Ranja. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Handbook of Applied Multivariate Statistics and Mathematical Modeling
par: Tinsley, Howard.
Publié: (2000)

The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling
par: Kumar, Amit.
Publié: (2021)

Network Science with Python and NetworkX Quick Start Guide : Explore and visualize network data effectively
par: Platt, Edward L..
Publié: (2019)

Mathematical Modeling
par: Kapur, J. N..

Handbook of Mathematical Formulas and Integrals
par: Jeffrey, Alan (1929-2010).
Publié: (2008)

Hands-on transfer learning with Python : implement advanced deep learning and neural network models using TensorFlow and Keras
par: Sarkar, Dipanjan (19..-....).
Publié: (2018)

Principles of mathematical modeling
par: Dym, Clive L..

Mathematical modelling of zombies
Publié: (2014)

Biermann's handbook of pulp and paper.
par: Bajpai, Pratima (19..-....).
Publié: (2018)

Debugging Machine Learning Models with Python : Develop high-performance, low-bias, and explainable machine learning and deep learning models
par: Madani, Ali.

Model building in mathematical programming
par: Williams, H. P.
Publié: (1985)

Mathematical modeling for the life sciences
par: Istas, Jacques, 1966-
Publié: (2005)

Python Machine Learning Projects : Learn how to build Machine Learning projects from scratch
par: Vora, Deepali R..

Biermann's handbook of pulp and paper : Volume 1,
par: Bajpai, Pratima (19..-....).
Publié: (2018)

Python deep learning projects : 9 projects demystifying neural network and deep learning models for building intelligent systems
par: Lamons, Matthew.
Publié: (2018)

Python machine learning Blueprints : put your machine learning concepts to the test by developing real-world smart projects
par: Combs, Alexander.
Publié: (2019)

Handbook of Probabilistic Models
par: Samui, Pijush (19..-....).
Publié: (2019)

Mathematical Modeling of Swimming Soft Microrobots
par: Khalil, Islam S. M..

Mathematical methods and models in economic dynamics.
par: Gandolfo, Giancarlo, 1937-
Publié: (1972)

Applied biomechatronics using mathematical models
par: Ulloa, Jorge Garza.
Publié: (2018)

Explorations of mathematical models in biology with MATLAB
par: Shahin, Mazen.
Publié: (2014)

Mathematical Modeling of Earth's Dynamical Systems : A Primer
par: Slingerland, Rudy.
Publié: (2011)

Practical Discrete Mathematics : Discover math principles that fuel algorithms for computer science and machine learning with Python
par: White, Ryan T..
Publié: (2021)

Hands-on Markov models with Python : implement probabilistic models for learning complex data sequences using the Python ecosystem
par: Ankan, Ankur.
Publié: (2018)

Hyperparameter Tuning with Python : Boost your machine learning model's performance via hyperparameter tuning
par: Owen, Louis.
Publié: (2022)

Network Science with Python : Explore the networks around us using network science, social network analysis, and machine learning
par: Knickerbocker, David.

Pragmatic Machine Learning with Python : Learn How to Deploy Machine Learning Models in Production
par: Nag, Avishek.

Training Systems Using Python Statistical Modeling : Explore popular techniques for modeling your data in Python
par: Miller, Curtis.
Publié: (2019)

Hands-On Mathematics for Deep Learning : Build a solid mathematical foundation for training eﬃcient deep neural networks
par: Dawani, Jay.
Publié: (2020)

Ensemble machine learning cookbook : over 35 practical recipes to explore ensemble machine learning techniques using Python
par: Sarkar, Dipayan.
Publié: (2019)

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python
par: Raschka, Sebastian.
Publié: (2016)

Machine Learning with Python : Unlocking AI Potential with Python and Machine Learning
par: Theobald, Oliver.

Python machine learning
par: Lee, Wei-Meng (19..-....).

Data Wrangling with Python : Creating actionable data from raw sources
par: Sarkar, Tirthajyoti.
Publié: (2019)

Mathematical Modelling and Computer Simulation of Social Processes : Problems and a New Solution
par: Troitzsch, Klaus G.
Publié: (1993)

Python Feature Engineering Cookbook : A complete guide to crafting powerful features for your machine learning models
par: Galli, Soledad.

Python : real world machine learning
par: Joshi, Prateek (19..-....).
Publié: (2016)

Python for Security and Networking : Leverage Python modules and tools in securing your network and applications
par: Ortega, Jose Manuel.

Python network programming : conquer all your networking challenges with the powerful Python language
Publié: (2019)

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
par: Raschka, Sebastian.
Publié: (2019)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1