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.
Machine Learning
Machine Learning Resources
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.
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.
The Mathematics of Machine Learning for R&D heavy roles
Mathematics and Machine Learning are closely intertwined, with both disciplines striving to use data to make better decisions.
How to build a strong Data Science Portfolio
Building a portfolio is a great learning opportunity and quite effective for showcasing your technical expertise.
Learn TensorFlow with hands-on training courses and specialization programs
There are rewarding career paths available if you have some TensorFlow experience under your belt! We’ve done the hard work and collated a list of resources that provide hands-on and project based learning.
Linear Algebra for Data Science and Machine Learning
Linear Algebra is a vital cog in data scientists’ skill set that learners don't bother much about because they find maths intimidating.