BOOKS - Data Engineering for Machine Learning Pipelines From Python Libraries to ML P...
Data Engineering for Machine Learning Pipelines From Python Libraries to ML Pipelines and Cloud Platforms - Pavan Kumar Narayanan 2024 PDF Apress BOOKS
2 TON

Views
83033

Telegram
 
Data Engineering for Machine Learning Pipelines From Python Libraries to ML Pipelines and Cloud Platforms
Author: Pavan Kumar Narayanan
Year: 2024
Format: PDF
File size: 33.0 MB
Language: ENG

''

You may also be interested in:

Data Engineering for Machine Learning Pipelines From Python Libraries to ML Pipelines and Cloud Platforms
Machine Learning Production Systems Engineering Machine Learning Models and Pipelines
Data Science on the Google Cloud Platform Implementing End-to-End Real-time Data Pipelines from ingest to machine learning
Ultimate Data Engineering with Databricks Develop Scalable Data Pipelines Using Data Engineering|s Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability
Ultimate Data Engineering with Databricks Develop Scalable Data Pipelines Using Data Engineering|s Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability
Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines
Practical Data Science with Jupyter Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter
Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Machine Learning For Beginners A Math Free Introduction for Business and Individuals to Machine Learning, Big Data, Data Science, and Neural Networks
Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Data Science and Machine Learning Interview Questions Using R Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Feature Engineering for Machine Learning and Data Analytics
Machine Learning and Computational Intelligence Techniques for Data Engineering: Proceedings of the 4th International Conference MISP 2022, Volume 2 (Lecture Notes in Electrical Engineering Book 998)
Data Science and Machine Learning Applications in Subsurface Engineering
Data Science and Machine Learning Applications in Subsurface Engineering
Data Science and Machine Learning Applications in Subsurface Engineering
Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Data Engineering with AWS: A Comprehensive Guide to Building Robust Data Pipelines
Information-Driven Machine Learning Data Science as an Engineering Discipline
Feature Engineering for Machine Learning Principles and Techniques for Data Scientists
Information-Driven Machine Learning Data Science as an Engineering Discipline
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Data-Driven Science and Engineering Machine Learning, Dynamical Systems, and Control
Ultimate Java for Data Analytics and Machine Learning: Unlock Java|s Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition)
Ultimate Java for Data Analytics and Machine Learning Unlock Java|s Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j
Ultimate Java for Data Analytics and Machine Learning Unlock Java|s Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j
Data Science from Scratch Want to become a Data Scientist? This guide for beginners will walk you through the world of Data Science, Big Data, Machine Learning and Deep Learning
Applied Machine Learning for Smart Data Analysis (Computational Intelligence in Engineering Problem Solving)
Feature Engineering for Modern Machine Learning with Scikit-Learn Advanced Data Science and Practical Applications
Operationalizing Machine Learning Pipelines
Python Machine Learning The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science
Building Machine Learning Pipelines (First Edition)
Data Engineering with Scala and Spark: Build streaming and batch pipelines that process massive amounts of data using Scala
Data Engineering with AWS - Second Edition: Acquire the skills to design and build AWS-based data transformation pipelines like a pro
Machine Learning for Data Streams with Practical Examples in MOA (Adaptive Computation and Machine Learning series)
Machine Learning Master Machine Learning Fundamentals for Beginners, Business Leaders and Aspiring Data Scientists
Machine Learning The Ultimate Guide to Understand AI Big Data Analytics and the Machine Learning’s Building Block Application in Modern Life
Artificial Intelligence For Business How Your Company Can Make More Profit with Machine Learning, Data Science, Big Data, and Deep Learning