Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing large sets of data.

Work you complete in the non-credit experience will transfer to the for-credit experience when you upgrade and pay tuition. See How It Works for details. We are excited to inform you the current ...

Explore how data science transforms blockchain analysis, enhancing crypto security, scalability, and market insights.

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 ...

We are now getting closer to the adoption of AI for business as a direct contributor more than before, with generative AI emerging as a transformative force. Generative AI, which is technically a ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

In today’s data-driven world, data science and AI are revolutionizing industries. As a new minor starting Fall 2024, this program is designed to help you thrive in our dynamic, data-centric world ...

The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...

The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...

Often, students feel confused about career choices and wonder whether they should study Web Development, Data Analytics, or Machine Learning. Each field has its own importance, but it is better to ...