Platform and Model Design for Responsible AI : Design and build resilient, private, fair, and transparent machine learning models

Platform and Model Design for Responsible AI : Design and build resilient, private, fair, and transparent machine learning models

Enregistré dans:

Détails bibliographiques
Auteur principal:	Kapoor, Amita. (Auteur)
Autres auteurs:	Chatterjee, Sharmistha. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-Book
Lien:	Autre support: Platform and Model Design for Responsible AI : Design and build resilient, private, fair, and transparent machine learning models / Amita Kapoor, Sharmistha Chatterjee

Documents similaires

Deep Learning with TensorFlow and Keras : Build and deploy supervised, unsupervised, deep, and reinforcement learning models
par: Kapoor, Amita.
Publié: (2022)

Up and Running Google AutoML and AI Platform : Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment
par: Agrawal, Amit.

Hands-on artificial intelligence for IoT : expert machine learning and deep learning techniques for developing smarter IoT systems
par: Kapoor, Amita.
Publié: (2019)

Responsible AI in the Enterprise : Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI
par: Masood, Adnan.

Design web responsive et responsable
par: Jehl, Scott (19..-....).
Publié: (2015)

Responsive web design
par: Marcotte, Ethan (19..-....).
Publié: (2017)

Responsive design patterns
par: Marcotte, Ethan (19..-....).
Publié: (2016)

Responsive web design by example
par: Hussain, Frahaan.
Publié: (2017)

Responsive design high performance
par: Els, Dewald.
Publié: (2015)

Mastering responsive web design
par: Zea, Ricardo.
Publié: (2015)

Instant responsive web design
par: Simmons, Cory.
Publié: (2013)

Designing Microservices Platforms with NATS : A modern approach to designing and implementing scalable microservices platforms with NATS messaging
par: Fernando, Chanaka.
Publié: (2021)

Database Design and Modeling with Google Cloud : Learn database design and development to take your data to applications, analytics, and AI
par: Sukumaran, Abirami.

Responsive web design by example : beginner's guide
par: Firdaus, Thoriq.
Publié: (2014)

Bootstrap 4 - responsive web design
par: Moreto, Silvio.
Publié: (2017)

WordPress Responsive Theme Design
par: Markovic, Dejan.
Publié: (2015)

Learning Google Cloud Vertex AI : Build, deploy, and manage machine learning models with Vertex AI
par: Kumar K, Hemanth.

Neuro-Symbolic AI : Design transparent and trustworthy systems that understand the world as you do
par: Dingli, Alexiei (19..-....).

Instant HTML5 responsive table design how-to
par: Monteiro, Fernando.
Publié: (2013)

Projet responsive web design : du recueil des besoins à la mise en ligne
par: Patonnier, Jérémie (19..-....).
Publié: (2013)

Modern generative AI with ChatGPT and OpenAI models : leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4
par: Alto, Valentina (19..-....).

Responsive web design with HTML5 and CSS3 essentials
par: Libby, Alex.
Publié: (2016)

Responsive Web Design with HTML5 and CSS : Develop future-proof responsive websites using the latest HTML5 and CSS techniques
par: Frain, Ben.
Publié: (2020)

Cloud Native AI and Machine Learning on AWS : Use SageMaker for building ML models, automate MLOps, and take advantage of numerous AWS AI services
par: Rangarajan, Premkumar.

Learn AI with Python : Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
par: Leekha, Gaurav.

Practical Design and Application of Model Predictive Control : MPC for MATLAB® and Simulink® Users
par: Khaled, Nassim.
Publié: (2018)

Platform Interference in Wireless Systems Models, Measurement, and Mitigation
par: Slattery, Kevin.

Google cloud platform for architects : design and manage powerful cloud solutions
par: Srinivasan, Vitthal.
Publié: (2018)

Designing machine learning systems with Python
par: Julian, David.
Publié: (2016)

Learn Python Generative AI : Journey from autoencoders to transformers to large language models
par: Ralte, Zonunfeli.

Machine, platform, crowd : harnessing our digital future
par: McAfee, Andrew, 19..-
Publié: (2017)

Financial Modeling Using Quantum Computing : Design and manage quantum machine learning solutions for financial analysis and decision making
par: Saxena, Anshul.

Effective Platform Product Management : A product manager's guide to strategizing and executing the platform business model to expand the customer base
par: Memon, Tabassum.
Publié: (2021)

Google cloud platform administration : design highly available, scalable, and secure cloud solutions on GCP
par: Singh Thakurratan, Ranjit.
Publié: (2018)

Cross-Platform Development with Qt 6 and Modern C++ : Design and build applications with modern graphical user interfaces without worrying about platform dependency
par: Dey, Nibedit.
Publié: (2021)

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

Optimizing AI and Machine Learning Solutions : Your ultimate guide to building high-impact MLAI solutions
par: Rahim Baig, Mirza.

Mastering Databricks Lakehouse Platform : Perform Data Warehousing, Data Engineering, Machine Learning, DevOps, and BI into a Single Platform (English Edition)
par: Lad, Sagar.
Publié: (2022)

Design patterns : catalogue de modèles de conception réutilisables
Publié: (1999)

Implementing Oracle API platform cloud service : design, deploy, and manage your APIs in Oracle's new API Platform
Publié: (2018)

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