When it comes to advancing your career in the fast-paced tech world, the educational path matters greatly. Both a master’s in artificial intelligence and machine learning offer specific advantages.

Anaconda Python Anaconda has come to prominence as a major Python distribution, not just for data science and machine learning but for general purpose Python development as well.

A strong understanding of deep learning frameworks including PyTorch and Tensorflow, as well as machine learning feature development workflows from training to deployment is required.

Mastering machine learning is not easy, even if you’re a crack programmer. I’ve seen many people come from a solid background of writing software in different domains (gaming, web, multimedia ...

Required skills: Strong knowledge of machine learning algorithms, deep learning frameworks — e.g., TensorFlow, PyTorch — programming skills, data analysis and problem-solving abilities.

Machine learning is one of the most in-demand skills in today’s technology job market. Kyle Hamlin, principal machine learning engineer at Sailthru, discusses what it takes to travel on that ...

New and seasoned data scientists can utilize ELI5 thanks to its simple user interface. 6. Eli5 ELI5 is a Python package that helps to debug machine learning classifiers and explain their predictions.

The Drexel University Master's Degree in Machine Learning Engineering prepares you for success in your career in many industries. Learn the benefits of an MS in Machine Learning Engineering today.