302049: Artificial Intelligence & Machine Learning

Sale!

302049: Artificial Intelligence & Machine Learning

Original price was: ₹285.00.Current price is: ₹145.00.

  • Teaching Scheme Credits Examination Scheme
    Theory 3Hrs./Week Theory 3 In-Semester 30 Marks
    Practical 2 Hrs./Week Practical 1 End-Semester 70 Marks
    Oral 25 Marks
    Prerequisites: Linear Algebra, Probability, Statistics, Logical Reasoning.
  • Course Objectives:
    1. ACQUAINT with fundamentals of artificial intelligence and machine learning.
    2. LEARN feature extraction and selection techniques for processing data set.
    3. UNDERSTAND basic algorithms used in classification and regression problems.
    4. OUTLINE steps involved in development of machine learning model.
    5. FAMILIARIZE with concepts of reinforced and deep learning.
    6. IMPLEMENT AND ANALYZE machine learning model in mechanical engineering
    problems.
    Course Outcomes:
    On completion of the course, learner will be able to
    CO1. DEMONSTRATE fundamentals of artificial intelligence and machine learning.
    CO2. APPLY feature extraction and selection techniques.
    CO3. APPLY machine learning algorithms for classification and regression problems.
    CO4. DEVISE AND DEVELOP a machine learning model using various steps.
    CO5. EXPLAIN concepts of reinforced and deep learning.
    CO6. SIMULATE machine learning model in mechanical engineering problems.
    Course Contents
  • Unit 1 Introduction to AI & ML 06 Hrs.
    History of AI, Comparison of AI with Data Science, Need of AI in Mechanical Engineering,
    Introduction to Machine Learning. Basics: Reasoning, problem solving, Knowledge representation,
    Planning, Learning, Perception, Motion and manipulation.
    Approaches to AI: Cybernetics and brain simulation, Symbolic, Sub-symbolic, Statistical.
    Approaches to ML: Supervised learning, Unsupervised learning, Reinforcement learning.
  • Unit 2 Feature Extraction and Selection 08 Hrs.
    Feature extraction: Statistical features, Principal Component Analysis.
    Feature selection: Ranking, Decision tree – Entropy reduction and information gain, Exhaustive,
    best first, Greedy forward & backward, Applications of feature extraction and selection algorithms
    in Mechanical Engineering.
  • Unit 3 Classification & Regression 08 Hrs.
    Classification: Decision tree, Random forest, Naive Bayes, Support vector machine.
    Regression: Logistic Regression, Support Vector Regression. Regression trees: Decision tree,
    random forest, K-Means, K-Nearest Neighbor (KNN). Applications of classification and regression
    algorithms in Mechanical Engineering.

 

  • Unit 4 Development of ML Model 07 Hrs.
    Problem identification: classification, clustering, regression, ranking. Steps in ML modeling, Data
    Collection, Data pre-processing, Model Selection, Model training (Training, Testing, K-fold Cross
    Validation), Model evaluation (understanding and interpretation of confusion matrix, Accuracy,
    Precision, Recall, True positive, false positive etc.), Hyper parameter Tuning, Predictions.
  • Unit 5 Reinforced and Deep Learning 08 Hrs.
    Characteristics of reinforced learning; Algorithms: Value Based, Policy Based, Model Based;
    Positive vs Negative Reinforced Learning; Models: Markov Decision Process, Q Learning.
    Characteristics of Deep Learning, Artificial Neural Network, Convolution Neural Network.
    Application of Reinforced and Deep Learning in Mechanical Engineering.
  • Unit 6 Applications 08 Hrs.
    Human Machine Interaction, Predictive Maintenance and Health Management, Fault Detection,
    Dynamic System Order Reduction, Image based part classification, Process Optimization, Material
    Inspection, Tuning of control algorithms. 
Category: Tags: ,
ENGINEERING WORLD IN THE UNIVERSE.
ENGINEERING WORLD IN THE UNIVERSE.

5.00

(1 Review)

Subject:- Artificial intelligence and Machine learning

Pages:- 223

Size:- 72 MB

SEM:- VI MECHANICAL ENGINEERING

 

Reviews

There are no reviews yet.

Be the first to review “302049: Artificial Intelligence & Machine Learning”

Your email address will not be published. Required fields are marked *

Vendor Information

  • Store Name: ENGINEERING WORLD IN THE UNIVERSE.
  • Vendor: ENGINEERING WORLD IN THE UNIVERSE.
  • Address: Sagar hotel
    pipeline road near sagar hotel , savedi Ahmednagar Maharashtra
    Ahmadnagar 414003
    Maharashtra
  • 5.00 rating from 1 review

Related products

Recommended Books & Notes on AMAZON

Product Category

Shopping Cart
Home
Search
0
My Notes
Sell PDF
Telegram
302049: Artificial Intelligence & Machine Learning
Original price was: ₹285.00.Current price is: ₹145.00.