BOOKS - Data Analytics and Machine Learning Navigating the Big Data Landscape
Data Analytics and Machine Learning Navigating the Big Data Landscape - Pushpa Singh, Asha Rani Mishra, Payal Garg 2024 PDF Springer BOOKS
ECO~15 kg CO²

1 TON

Views
17271

Telegram
 
Data Analytics and Machine Learning Navigating the Big Data Landscape
Author: Pushpa Singh, Asha Rani Mishra, Payal Garg
Year: 2024
Pages: 357
Format: PDF
File size: 10.7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro
Machine Learning with Spark and Python Essential Techniques for Predictive Analytics Second Edition
Ultimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by Leveraging MLBase.jl and MLJ.jl to Optimize Workflows
Ultimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by Leveraging MLBase.jl and MLJ.jl to Optimize Workflows
Coding with Python The Ultimate Guide For Data Science, a Smart Way to Program With Python, Understand Data Analytics and Deep Learning Faster Computer Programming for Beginners (Book Python 3)
Deep Learning for Data Analytics Foundations, Biomedical Applications, and Challenges
Artificial Intelligence Data Analytics and Robot Learning in Practice and Theory
Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Football Analytics with Python and R: Learning Data Science Through the Lens of Sports
Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by … to optimize workflows (English Edition)
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Machine Learning for Beginners A Math Guide to Mastering Deep Learning and Business Application. Understand How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples
Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
Advanced Analytics with Spark Patterns for Learning from Data at Scale, 2nd Edition
Machine Learning with Dynamics 365 and Power Platform The Ultimate Guide to Apply Predictive Analytics
Machine Learning for Beginners A Complete and Phased Beginner’s Guide to Learning and Understanding Machine Learning and Artificial Intelligence Algoritms
Data Science on the Google Cloud Platform Implementing End-to-End Real-time Data Pipelines from ingest to machine learning
Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton Series in Modern Observational Astronomy, 1)
Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook
Coding with Python Python for Data Analysis and Machine Learning, Let’s Make Data Talk
Design and Deploy Microsoft Defender for IoT Leveraging Cloud-based Analytics and Machine Learning Capabilities
Design and Deploy Microsoft Defender for IoT: Leveraging Cloud-based Analytics and Machine Learning Capabilities
Design and Deploy Microsoft Defender for IoT Leveraging Cloud-based Analytics and Machine Learning Capabilities
Health Analytics with R Learning Data Science Using Examples from Healthcare and Direct-to-Consumer Genetics
Football Analytics with Python & R Learning Data Science Through the Lens of Sports (Final)
The Analytics Revolution in Higher Education: Big Data, Organizational Learning, and Student Success
Football Analytics with Python & R Learning Data Science Through the Lens of Sports (Final)
Training Data for Machine Learning
Data Science and Machine Learning
Machine Learning and Data Mining
Python Programming The Crash Course for Python – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners
Python Programming The Crash Course for Python Projects – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners
Blueprints for Text Analytics Using Python Machine Learning-Based Solutions for Common Real World (NLP) Applications
Dirty Data Processing for Machine Learning
Dirty Data Processing for Machine Learning
Machine Learning for Big Data Analysis
Encyclopedia of Data Science and Machine Learning
Data Protection The Wake of AI and Machine Learning
Dirty Data Processing for Machine Learning