BCA in Artificial Learning & Machine Learning (AL-ML) at PSIT Kanpur - Course, Fees, Admission, Seats, Syllabus

As of my last update in April 2023, I don't have access to the specific course details or syllabus for the BCA in Artificial Learning & Machine Learning (AL-ML) at Pranveer Singh Institute of Technology. However, I can provide you with a general list of important topics that are typically covered in such courses based on industry standards and academic curricula in the field of Artificial Intelligence and Machine Learning. Please verify the exact syllabus with the institute.

Module	Important Topics
Introduction to AI and ML	History of AI, Foundations of Machine Learning, AI vs ML vs Deep Learning, Applications of AI and ML
Python for AI and ML	Python Basics, Libraries (NumPy, Pandas, Matplotlib), Data Manipulation, Data Visualization
Mathematics for AI and ML	Linear Algebra, Calculus, Probability and Statistics, Optimization Techniques
Data Preprocessing	Data Cleaning, Data Transformation, Handling Missing Values, Feature Scaling
Supervised Learning	Regression Analysis, Decision Trees, Support Vector Machines, Neural Networks
Unsupervised Learning	Clustering Techniques, Dimensionality Reduction, Association Rule Learning
Deep Learning	Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Deep Reinforcement Learning
Natural Language Processing	Text Processing, Sentiment Analysis, Language Models, Chatbots
AI Ethics and Society	Ethical Implications of AI, Bias and Fairness, Privacy and Security, Future of Work

This table provides a general overview of the topics that are often considered crucial in a BCA program focusing on Artificial Learning and Machine Learning. Please consult the official curriculum of Pranveer Singh Institute of Technology or other authoritative sources for the exact topics covered in their BCA in AL-ML program.