A year and a half ago, I wrote that robotic process automation might not be smart enough to fuel your digital transformation. But I needn’t have worried; RPA vendors are increasingly combining the ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Automated machine learning (autoML) is the process of applying tools to data to apply the machine learning process to a real-world problem. Applying machine learning to a new dataset is a complicated ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Recent advancements in machine learning have substantially transformed the optimisation of the steelmaking process. Traditional methods, often limited by complex thermodynamic interactions and ...

From exploratory data analysis to automated machine learning, look to these techniques to get your data science project moving — and to build better models. Do you need to classify data or predict ...

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...