BCA in Artificial Learning & Machine Learning (AL-ML) at Amity University Ranchi - Course, Fees, Admission, Seats, Syllabus

As of my recent update in April 2023 please note that the specific details regarding Amity University Ranchis BCA program specializing in Artificial Learning & Machine Learning (AL ML) may vary. However I can provide you with an overview of the essential subjects typically covered in BCA programs focused on Artificial Intelligence (AI) and Machine Learning (ML). These subjects form the foundation for comprehending concepts and applications related to AI and ML. It is advisable to consult the universitys curriculum or directly contact them for the most accurate and specific information available. Here are some important areas of study; 1. **Introduction to Artificial Intelligence (AI). Machine Learning (ML);** This entails gaining an understanding of the fundamentals historical context and evolution of AI and ML. Additionally it involves distinguishing between AI, ML and Deep Learning (DL). 2. **Programming for AI and ML;** Proficiency in programming languages is crucial within this field. Python is often preferred due to its simplicity well as its wide range of libraries available for AI and ML purposes such as TensorFlow, PyTorch, Keras and Scikit learn. 3. **Mathematics for AI and ML;** This subject encompasses topics like linear algebra, calculus, statistics and probability theory. Acquiring a foundation in these areas is vital, for comprehending algorithms and models used in ML. 4. **Data. Algorithms;** It is crucial to have a grasp of data structures and algorithms for effectively solving problems and implementing machine learning models. Some important topics to cover are arrays linked lists, trees, graphs, sorting techniques and searching algorithms. 5. **Data. Analysis;** It is essential to understand how to clean, preprocess and analyze data in order to gain insights. This involves handling missing values, normalizing data and interpreting information through visualizations. 6. **Machine Learning Algorithms;** A comprehensive study of machine learning algorithms is necessary. These may include regression, logistic regression, decision trees, random forests, support vector machines (SVM) k nearest neighbors (KNN) as well as clustering algorithms like K means. 7. **Deep Learning;** An introduction to networks is vital in understanding their layers, activation functions and architectures such as Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) and Long Short Term Memory (LSTM) networks. 8. **Natural Language Processing (NLP);** Familiarity with the basics of text processing enables us to delve into sentiment analysis tasks along with exploring chatbot development and real world applications of NLP techniques. 9. **Computer Vision;** Gaining insight into how machines can be trained to interpret visuals plays a role here. Topics covered may include image recognition techniques, object detection methods and even image generation capabilities. 10. **Reinforcement Learning;** A fundamental understanding of agents behavior within environments alongside concepts like states and actions is crucial, in exploring this field

### Amity University Ranchi BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics

Semester	Important Topics
1st Semester	Introduction to Programming, Basics of Computer Systems, Mathematics for Computer Science
2nd Semester	Object-Oriented Programming, Data Structures, Database Management Systems
3rd Semester	Operating Systems, Algorithms, Web Technologies
4th Semester	Software Engineering, Artificial Intelligence Basics, Machine Learning Foundations
5th Semester	Deep Learning, Natural Language Processing, Data Mining and Data Warehousing
6th Semester	Capstone Project, Advanced Machine Learning, Electives in Specialized Areas of AL-ML