BOOKS - PROGRAMMING - Synthetic Data and Generative AI
Synthetic Data and Generative AI - Vincent Granville 2024 PDF | EPUB Morgan Kaufmann/Elsevier BOOKS PROGRAMMING
ECO~18 kg CO²

1 TON

Views
93564

Telegram
 
Synthetic Data and Generative AI
Author: Vincent Granville
Year: 2024
Pages: 410
Format: PDF | EPUB
File size: 19.1 MB, 43.9 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Harnessing Synthetic Nanotechnology-Based Methodologies for Sustainable Green Applications
Chromatic Algorithms: Synthetic Color, Computer Art, and Aesthetics after Code
Practical Synthetic Organic Chemistry Reactions, Principles, and Techniques 2nd Edition
Python Data Science The Complete Guide to Data Analytics + Machine Learning + Big Data Science + Pandas Python. The Easy Way to Programming (Exercises Included)
Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse
Ultimate Azure Data Engineering Build Robust Data Engineering Systems on Azure with SQL, ETL, Data Modeling, and Power BI for Business Insights and Crack Azure Certifications
Ultimate Azure Data Engineering Build Robust Data Engineering Systems on Azure with SQL, ETL, Data Modeling, and Power BI for Business Insights and Crack Azure Certifications
Positioning Synthetic Biology to Meet the Challenges of the 21st Century: Summary Report of a Six Academies Symposium Series
Power Electronics Applied to Industrial Systems and Transports, Volume 1 Synthetic Methodology to Converters and Components Technology
Python Data Analysis Transforming Raw Data into Actionable Intelligence with Python|s Data Analysis Capabilities
Python Data Analysis Transforming Raw Data into Actionable Intelligence with Python|s Data Analysis Capabilities
Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data … Enterprise Strategies (English Edition)
Handbook of Functionalized Nanostructured MXenes: Synthetic Strategies and Applications from Energy to Environment Sustainability (Smart Nanomaterials Technology)
Ultimate Salesforce Data Cloud for Customer Experience: Explore, Implement, and Elevate B2C Experiences Through Customer Data Innovations Using Salesforce Data Cloud (English Edition)
DATA SCIENCE WITH PYTHON Complete Guide To Understanding Data Analytics And Data Science With Python Programming
Ultimate Salesforce Data Cloud for Customer Experience Explore, Implement, and Elevate B2C Experiences Through Customer Data Innovations Using Salesforce Data Cloud
Ultimate Salesforce Data Cloud for Customer Experience Explore, Implement, and Elevate B2C Experiences Through Customer Data Innovations Using Salesforce Data Cloud
The Resilient Garden and Allotment Handbook: Enrich your soil, manage pests and diseases and boost biodiversity without toxic chemicals and synthetic fertilisers
Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Unifying Business, Data, and Code: Designing Data Products With Json Schema
Explainable Machine Learning for Geospatial Data Analysis A Data-Centric Approach
Data Analytics for Absolute Beginners A Deconstructed Guide to Data Literacy, Second Edition
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Final)
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
From Data To Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines
Data Warehouse and Data Mining Concepts, techniques and real life applications
Azure Data Factory by Example Practical Implementation for Data Engineers, 2nd Edition
Data in Context: Models as Enablers for Managing and Using Data (The Enterprise Engineering Series)
Data Warehouse and Data Mining Concepts, techniques and real life applications
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Data Quality Engineering in Financial Services Applying Manufacturing Techniques to Data
IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI
Integrity Constraints on Rich Data Types (Synthesis Lectures on Data Management)
Azure Data Factory by Example Practical Implementation for Data Engineers, 2nd Edition
Unifying Business, Data, and Code Designing Data Products With JSON Schema
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Introducing Data Science Big data, machine learning, and more, using Python tools