Tweaking machine learning algorithms and models won't always be for experts only, thanks to these cutting-edge projects ...

Applications Big Data and Analytics IT Management Why Machine Learning Projects Fail – and How to Make Sure They Don’t The first step to a successful ML project is to understand that these ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

Apurva Pathak is a prominent machine learning expert and software engineer currently based in Newark, California. With a ...

With AI quickly becoming strategic, look for projects that can give you some quick business wins and help you gain the skills to apply machine learning more broadly.

Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

Here's how to develop an internally facing machine-learning model with a budget of $250,000.

Mention machine learning, and many common frameworks pop into mind, from “old” stalwarts like Scikit-learn to juggernauts like Google’s TensorFlow. But the field is large and diverse, and ...

In this post, we will have listed down the best GPUs for Machine Learning Projects. Go through the list and pick the right one for you.

It turns out there’s a fatal flaw in most companies’ approach to machine learning, the analytical tool of the future: 87% of projects do not get past the experiment phase and so never make it ...