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Introduction to AI and Applications - First Semester VTU - Chemistry Cycle

  Introduction to AI and Applications Semester I/II                         Course Code 1BAIA103/203 CIE Marks 50                       Teaching Hours/Week (L:T:P: S)    3:0:0:0 SEE Marks 50                        Total Hours of Pedagogy: 40 Total Marks 100                    Credits: 3       Exam Hours 3 The BOS of CSE stream has prepared the teaching material for the course instructors of Introduction to Artificial Intelligence and Applications (BETC105/205). The material is downloadable, click to download. Syllabus  AI Syllabus Agent and Environment  Click to download  Notes - Agent and Environment Difference Between AI/ML/DL AI-ML-DL Advantages and History of AI AI History AI Classification  TYpes of AI Cog...

Artificial Intelligence and Machine Learning

  Artificial Intelligence and Machine Learning   Notes                                                AI (MCS101)  Notes for  First Sem M.Tech CNE AI - Artificial Intelligence A Modern Approach Stuart Russell and Peter Norvig, Editors Deep Learning Ian Goodfellow                                                                       NOTES ON  ARTIFICIAL INTELLIGENCE (Click on the links given below)                                                                       ...

GIT NOTES

  GIT NOTES PAPERS MCQ MODEL

UHV NOTES

 UHV NOTES  UHV CHAPTERS MCQ SAMPLE QUESTIONS

Biology for Engineers- Notes

  Course Name: Biology for Engineers,  Semester: IV Course Code: BBOK407,  CIE Marks: 50 No. of Lecture Hrs. /Week: 04,  SEE Marks:100 Total No. of Lecture Hours: 40,  Exam Hours: 3 Notes Unit 1-3 Notes Unit 4 - 5 Biomolecules Notes Role of Lipids and Enzymes Module 1 Carbohydrates Protein Based Structures Bio Engineering Notes Heart Pumping machine Vitamins and Hormones Human Organ and Biodesign

Internet of Things

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       Internet of Things     IoT Textbook IoT and IPV6 Protocols Important Questions and Answers

Fundamentals of Data Science

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Fundamentals of Data Science  Click to download syllabus.     Text Book Data Science Notes on Data Science