In an effort to equip aspiring technologists and researchers with cutting-edge skills, Jamia Millia Islamia (JMI) has ...

Scikit-learn, a Python ... basic traditional ML stuffs like grouping data, predictions, dimensionality reduction, etc. These algorithms can be integrated into TensorFlow pipelines. Tflow, Keras ...

We list the best Python ... basic constructs in the language and when to use them. The course is made up of over 70 lessons for a total runtime of over 11 hours. The lessons will help you learn ...

Master artificial intelligence in 2025 with this comprehensive guide. Explore AI fundamentals, machine learning, deep ...

Used Keras to solve a variety of problems using real-world datasets. Covered classification tasks for online shoppers, hepatitis C data, and failure data for Scania trucks, as well as regression tasks ...

A Convolutional Neural Network (CNN) built with TensorFlow/Keras to classify handwritten digits from the popular MNIST dataset. This project demonstrates the basic workflow of building, training, and ...

The deep learning history is often tracked back to 1943 when Walter Pitts and Warren McCulloch computed a model which support the human brain. Right now, the world is seeing a global Artificial ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...