Introduction to Scalable Machine Learning

Introduction to Scalable Machine Learning

Machine Learning usage in the industry is fairly nascent with most practitioners gaining expertise through online courses and working mostly within the confines of a collab. When the same practitioner is tasked with designing and deploying their first ML system, they often make the mistake of focusing entirely on the model development part and their local development environment where training rather than inference is the bottleneck; resulting in culture shock and a steep learning curve getting the model deployed to production

The objective of this webinar is to prepare the practitioner for the inevitable culture shock and minimize the learning curve by instilling production best practices that tech giants adhere to. We will present a detailed overview of the design and architectural choices behind Uber's Michelangelo: The full-stack ML ecosystem empowering hundreds of engineers and analysts to deploy thousands of models daily.

Here is the link for Git repository - https://github.com/girisandeep?tab=repositories

machine-learning

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.

What is neuron analysis of a machine? Learn machine learning by designing Robotics algorithm. Click here for best machine learning course models with AI

AI, Machine learning, as its title defines, is involved as a process to make the machine operate a task automatically to know more join CETPA