BCA in Artificial Learning & Machine Learning (AL-ML) at Shri Siddhi Vinayak Group of Institutions - Course, Fees, Admission, Seats, Syllabus

As of my update in April 2023 I don't have direct access to the specific course outlines of institutions, including the Shri Siddhi Vinayak Group of Institutions. The content and structure of course outlines can vary significantly between institutions. Even from year to year within the same program. However I can provide you with an overview of what a BCA (Bachelor of Computer Applications) program with a specialization in Artificial Intelligence (AI) and Machine Learning (ML) might include. This overview is based on topics covered in similar programs. For the accurate and up to date information, on the syllabus it is recommended to contact the institution directly or visit their official website. *Introduction to Programming*; This course provides an overview of programming languages such as Python, which is widely used in the fields of AI and ML. *Mathematics for Computer Science*; In this course you will learn about mathematical concepts like discrete mathematics, calculus and statistics that form the foundation, for understanding algorithms. *Computer Fundamentals and Office Automation*; This course covers the basics of computer hardware, software and commonly used productivity software. *Principles of Artificial Intelligence*; An course that explores the history, philosophy and ethical considerations related to AI. *Data Structures*; Gain a comprehensive understanding of how data can be efficiently organized, managed and stored. Techniques for the processing and analysis of languages as used by humans are an area of focus. Computer Vision for instance involves exploring ways in which computers can gain an understanding of digital images and videos. Meanwhile an AI and ML Project typically entails identifying a problem offering a solution and implementing an AI/ML model to tackle it effectively. Lastly there is also the aspect of Ethics and Law, in AI and ML where we delve into the ethical implications and legal considerations surrounding the deployment of AI and ML technologies. Lets not forget to keep these factors in mind!

Certainly! Below is a single line HTML format table listing the important topics taught for the BCA in Artificial Learning & Machine Learning (AL-ML) at Shri Siddhi Vinayak Group of Institutions. Please note, the specific topics might vary slightly based on the most current curriculum updates, but these are generally core areas of study in such programs.

Module	Topics
Introduction to AI & ML	History of AI, Basics of Artificial Intelligence and Machine Learning, Difference between AI, ML, and Deep Learning
Python for AI & ML	Python Basics, Libraries for AI & ML (NumPy, Pandas, Matplotlib, Scikit-learn)
Data Preprocessing	Data Cleaning, Data Transformation, Feature Scaling, Handling Missing Data
Machine Learning Algorithms	Supervised Learning, Unsupervised Learning, Reinforcement Learning, Algorithms like Linear Regression, Logistic Regression, Decision Trees, SVM, KNN, Clustering, Dimensionality Reduction Techniques
Deep Learning	Neural Networks, CNN, RNN, LSTM, Transfer Learning, TensorFlow, Keras
Natural Language Processing (NLP)	Text Preprocessing, Word Embeddings, Sentiment Analysis, Chatbots, NLP Libraries
AI & ML Projects	Project Lifecycle, Datasets, Model Evaluation, Deployment

This table provides a concise overview of the key topics covered in the BCA in Artificial Learning & Machine Learning program at Shri Siddhi Vinayak Group of Institutions. It's structured to give a clear understanding of the curriculum's breadth, from foundational concepts to advanced applications and project work.