Machine Learning for Developers
Welcome to Machine Learning for Developers newsletter.
My aim with this newsletter is:
To curate and create resources for practitioners to design, develop, deploy, and maintain ML applications at scale to drive measurable positive business impact.
In each issue, I explore a topic from the developer’s point of view, with few links to relevant resources for you to dig deeper.
ML in production is a high-octane union of:
Software Engineering: continuously design-develop-test-deploy-monitor software systems to achieve business goals,
Machine Learning: implement some product features using statistical models, and evaluate whether models are effective in light of new data,
Data Engineering: collect, curate, and manage quality, privacy, and security of the data needed for training ML models.
The better we learn this union, the more likely we will succeed in making ML work in the real world.
My name is Satish Chandra Gupta. I am a cofounder at Slang Labs. Previously, I have worked in Amazon and Microsoft Research. I built compilers for a decade. Now I make ML services handling billion events/day in real-time.
Sign up now so you don’t miss the first issue. Start Date: Jan 2021.
Here is a list of my most popular articles:
Looking forward to sharing my learnings, and learning from your feedback and experiences.