Data Science
No-code data science functionalities allow users to build and deploy machine learning models without writing any code. They make it exceedingly simple for data scientists to reuse solutions and save time and effort.
Machine Learning
MLOps is a set of strategies and techniques that allow data teams to quickly and effectively create, deploy, and maintain ML models in production environments at scale.
AI
Gradio is simply a great choice for creating a customizable a user interface for machine learning models to test your proof of concept.
Data Science
One of the most important steps to becoming a Data Scientist is not only learning but also planning how you will showcase your skills, accomplishments, and knowledge.
Developers
Now is the perfect time to build the next-generation skills you need for a rewarding career in DevOps with expert-led, open-source bootcamp programs.
Kubernetes
Cloud-Native experts, especially those with Kubernetes certifications, are highly sought after due to the astronomical growth and widespread adoption of container and microservices technologies.
Open Source
Despite the current economic climate, open source jobs are out there.
Linux
As the days get longer and the weather gets warmer, it's time to go out and search for the perfect lightweight Linux distro.
Data Science
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.
to caffeinate your efforts
Kubernetes is an open-source system, developed by Google, for managing containerized applications in a clustered environment.
The demand for highly skilled data engineers is expected to grow in the future due to emerging requirements.
The Managed Kubernetes Services from the leading organizations in the cloud computing ecosystem have all made huge strides over the past few years, enabling companies to run containerized workloads with cutting-edge open source capabilities.
Open source software developers and engineers are in high demand. By focusing on training for the right certifications and specialty skill sets, individuals can take their careers in a range of directions.
We also spoke to experienced ML researchers to gain insights into the role of TensorFlow in their daily work.
In the ever-evolving landscape of the AI-driven era, there is a growing demand for Angular developers who possess proficiency in multiple programming languages and a diverse range of technical skills, including critical thinking.
Python is one of the most popular programming languages in the world. It is simple, elegant and easy to code with Python, which is why it has gained a colossal popularity in one decade.
The AWS Certification is a valuable credential from a professional perspective, and it increases your proespects in a competitive job market.
GO is a popular open source programming language that is widely used for building high-performance and scalable applications.
It is exceedingly important for aspiring data scientists to learn basic statistical concepts in order to have a successful career in data science.
Math is the foundational data science skill, and having a strong mathematical intuition is essential for success in data science, which heavily relies on machine learning.
Ubuntu is stable, secure, and flexible, making it a good match for Java programmers who value reliability and customization.
