Technical Staff - Ms. Nirmale Pooja A.
The Artificial Intelligence and Machine Learning Lab introduces students to foundational concepts and practical techniques in the field of AI. Students gain hands-on experience with popular libraries and frameworks, working on projects involving data preprocessing, model training, and testing. They are also engaged in hands-on projects that involve implementing algorithms and techniques related to artificial intelligence and machine learning. In addition to this, students utilize this laboratory for their programming practice and self-learning using platforms like NPTEL, Infosys Springboard etc.
Laboratory resources
Hardware and Configuration
Lenovo M710 Desktop i5-7400 CPU@3.00GHz 7th Generation, 8 GB RAM 19.5" LED Monitor, 4 GB DDR3 RAM, 320 GB hard disk. Windows 10 Pro installed on each system, latest antivirus, all PC’s connected with CISCO 24 port switch and CAT6 cable, Sukam UPS 5 KVA.
Software
Python, Anaconda, Jupyter Notebook, TensorFlow, Matplotlib / Seaborn , Pandas, NumPy, Matlab, Java, PHPMyAdmin, MySQL, Apache HTTP Server, Node.js PostgreSQL, SQLite, on each system. Many open source software and tools installed on each PC.
|