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Mr. Tonny Binoy
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Ms. Saritha M S
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Dr. Meenu Suresh
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Ms. Aiswarya R Lakshmi
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Ms. Vidya Dinesh
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Ms. Karthika S
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Ms. Ashna Merin Philip
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming. 2) C textbook 3) INTRODUCTION TO C PDF 4) PATTERN RECOGNITION TEXT BOOK 5) PATTERN RECOGNITION-BIAS AND VARIANCE 6) C PROGRAMMING SYLLABUS 7) C PRACTICAL SYLLABUS 8) C DECISION STATEMENTS AND LOOPS
Ms. Neenu Ann Sunny
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Ms. Amrutha Babu
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Mr. Sreejit Ramakrishnan
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Dr. Sarin Abraham
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Ms. Johnsymol Joy
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Ms. Sherin Mary Andrews
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
Dr. Ambily Merlin Kuruvilla
PG Department of Computer Applications & Artificial Intelligence, Faculty: Dr. Ambily Merlin Kuruvilla Operating Systems Inter Process Communication (IPC) A process can be of two types: Independent process. Co-operating process. The execution of other processes cannot effect an independent process, but it can have an impact on a cooperating process. Although it may seem that processes that are operating separately would operate extremely effectively, there are really numerous circumstances in which the cooperative aspect of computing may be used to increase computational speed, convenience, and flexibility.
Mr. Arun Padmanabhan
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
BCA-Test-faculty
PG Department of Computer Applications & Artificial Intelligence, Faculty: (Faculty Name) Resources:(Resources to be given hyperlink from google-drive) 1) C Programming .
PG-Pattern Recognition, Semester 3, First Internal Exam, September 2023
First Internal Examination, September 2023 P.G Department of Computer applications & Artificial Intelligence , Semester 3 AI010303 PATTERN RECOGNITION Total weight: 30 Time: 3 hours Section A. Answer any 8 questions. Each question carries 1 weight (Weight 1each) 1. What is Reinforcement Learning? Reinforcement learning is a machine learning training method based on rewarding desired behaviours and/or punishing un...
PG-Introduction to Data Analysis, Semester 3, First Internal Exam, September 2023
AI010302 INTRODUCTION TO DATA ANALYTICS Answer Key Section A 1. Supervised learning is the types of machine learning in which machines are trained using well "labelled" training data, and on basis of that data, machines predict the output. The labelled data means some input data is already tagged with the correct output. In supervised learning, the training data provided to the machines work as the supervisor that teaches the machines to predict the output correctly. It applies the same concept as a student learns in the supervision of the teacher. 2. Least square estimates of β 0 and β 1 are: Mean response estimation is done using the equation: 3. Detecting problem of multicollinearity Multicollinearity is a statistical phenomenon that occurs when two or more independent variables in a regression model are highly correlated with each other. It can be detected either by using Vari...