AI and ML are the driving forces behind various industries across the globe. The Professional Certificate course of Purdue ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

As I frequently travel in data science circles, I’m hearing more and more about a new kind of tech war: Python vs. R. I’ve lived through many tech wars in the past, e.g. Windows vs. Linux, iPhone vs.

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...

Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online practice easy and accessible. For structured learning, Coursera and the ‘Think ...

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Few fields in computer science today are as in-demand as artificial intelligence, but it has yet to be universally embraced as a subject for K-12 classrooms. One San Francisco-based ed-tech company ...