Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model ...

The first step to a successful ML project is to understand that these projects require different processes, terminology, workflows, and tools than those needed by traditional development.

Mohanty studied using online resources, entered hackathons, and volunteered himself at work for ML projects. This as-told-to essay is based on a conversation with Suvendu Mohanty, a 37-year-old ...

Manoj Tumu, shares how he landed an offer package of over $400,000 for an AI role at Meta and his advice for people entering tech.

Even with all machine learning wins across industries, some businesses still run aground on unseen barriers, preventing or limiting their ROI.

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...