The Future of TensorFlow from the Perspectives of Its Users
The initial launch of TensorFlow sparked a surge in Deep Learning architectures and solutions, due to its popularity as a framework for handling various artificial neural networks.
Data Science
Discover the best data science resources and ideas emerging from around the globe and how they are promising to help build a better future.
Data Engineering Skills: 8 Skills Required for Big Data Engineers
Data engineers build and maintain database systems. They have a firm foundation in programming languages, skills in finding warehousing solutions and hands-on exposure to big data tools.
MLOps for Data Science teams and responsible leaders
MLOps is a set of strategies and techniques that allow data science teams to quickly and effectively create, deploy, and maintain ML models in production environments.
Kubernetes for Data Science practice
Data science has exploded as a practice in recent years, with open-source technologies such as Linux and Kubernetes playing a major role in driving innovation.
Learning MLOps: Hands-on Specialization courses for data practitioners
Learning MLOps can give you the valuable skills to develop and maintain ML/AI models more efficiently and effectively, making you more attractive to employers looking for data professionals with experience in this discipline.
Learning Math for Data Science
Math is the foundation of machine learning algorithms, and having a strong understanding of mathematics is essential for success in data science, which heavily relies on machine learning.
How to build a strong Data Science Portfolio
Building a portfolio is a great learning opportunity and quite effective for showcasing your technical expertise.