YoVDO

Affordable ML Platform: Key Components and Technical Points

Offered By: Conf42 via YouTube

Tags

Machine Learning Courses Data Science Courses Cloud Computing Courses MLOps Courses Data Processing Courses Scalability Courses Model Deployment Courses Cost Optimization Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a conference talk on building an affordable machine learning platform. Discover the essential components and technical considerations for creating a cost-effective ML infrastructure. Learn who can benefit from such a platform, understand the key technical points, and gain insights into making machine learning more accessible. Delve into topics including the definition of an affordable ML platform, target users, necessary components, and crucial technical aspects. Conclude with a summary of the main takeaways for implementing budget-friendly machine learning solutions.

Syllabus

intro
preamble
agenda
what's an affordable ml platform?
who needs this ml platform?
key components which part is necessary and why
key technical points
summary
thanks


Taught by

Conf42

Related Courses

Developing a Tabular Data Model
Microsoft via edX
Data Science in Action - Building a Predictive Churn Model
SAP Learning
Serverless Machine Learning with Tensorflow on Google Cloud Platform 日本語版
Google Cloud via Coursera
Intro to TensorFlow em Português Brasileiro
Google Cloud via Coursera
Serverless Machine Learning con TensorFlow en GCP
Google Cloud via Coursera