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 ...

You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...

We are starting off the course with a busy week. This week's module has two parts. In the first part, after a quick introduction to Deep Learning's exciting applications in self-driving cars, medical ...

The 7 Best Data Science Courses That are Worth Taking Your email has been sent Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models ...

Heidi Borst is a freelance journalist, healthcare content writer and certified nutrition coach with a love of all things health and wellness. Her work has appeared in The New York Times, The ...

Submitted by Cisco Systems, Inc. This blog comes to us from Amber Yandow, a data science subject matter expert, coach, mentor, and instructor, who has worked with Cisco to develop Introduction to Data ...

Data engineering and data science are complementary disciplines that have come to define modern approaches to managing, processing, and extracting value from vast and complex data sets. Data ...

Data management and data science are interrelated disciplines that are central to the modern digital landscape. At the core of their contributions lies the management, processing and analysis of large ...