In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

DataCamp is geared towards data science and analytics, offering specialized Python tracks with practical exercises using ...

If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the convenience ...

Learning something new can feel overwhelming, especially when it comes to programming. Maybe you’ve always wanted to dip your toes into coding but felt intimidated by the jargon or unsure where to ...

A new guide from Dataiku covers machine learning basics. According to Google Trends, interest in the term machine learning (ML) has increased over 300 percent since Dataiku was founded in 2013. We’ve ...

VS Code is a popular choice because it’s free, flexible with lots of extensions, and has built-in Git support, making it a ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...