Affordable ML Platform: Key Components and Technical Points
Offered By: Conf42 via YouTube
Course Description
Overview
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 ModelMicrosoft 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