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1 of 2
1. Describe the conceptsof Search and planningincreatingintelligentagent
a) Discuss History of AI, ProposingandevaluatingAIapplications foranintelligentagent
b) Articulate Problem spacesandsearch foran artificial intelligentmachine
c) State Knowledge andrationality inartificial intelligence
d) Examine Heuristicsearchstrategies
e) Demonstrate Searchandoptimization(gradientdescent) usedincreatinganintelligent
agent
f) Demonstrate Adversarial search foranintelligentagent
g) state Planningandschedulingusedincreatinganintelligentagent
h) Demonstrate searchandplanning usingcase studiessuchas Playingchess,
Manufacturingscheduling orvacuumcleaner
2. Describe Knowledge RepresentationandReasoning indesigninganintelligentagent
DiscussLogic andinference inrepresentationandreasoning
Prepare Ontologies usedinartificial intelligent RepresentationandReasoning
Demonstrate Bayesianreasoninginartificial intelligent
Demonstrate Temporal reasoning inartificial intelligent
Demonstrate RepresentationandReasoning usingcase studysuchas Medical diagnosis
3. Create machine learningagentforautomatedindustries
Explainthe conceptof machine learning
Compare Supervisedand unsupervisedlearning inmodelinganintelligentmachine
Formulate Regressionlinear,logisticand ridge increatingmachine learning
Demonstrate Classificationof decisiontrees,SVM,randomforests increatingmachine
learning
Designmodel performance evaluationwith MSE,lift,AUC,Type 1 vs 2 increating
machine learning
Create a machine learningusingcase studysuchas Bank failure prediction
4. Describe Machine LearningusingUnsupervisedMethods
○ State Dimensionalityreduction (PCA) increatinglearningmachine
○ implementClustering–k-means,hierarchical clusteringincreatinglearningmachine
○ Discuss Semi-supervisedmethods andReinforcementlearning increatinglearning
machine
○ Discuss among machine learningtechniques increatinglearningmachine
ImplementNeural networks increatinganintelligentmachine
○ Discuss Neural networksandback-propagation increatinganintelligentmachine
○ Demonstrate Convolutionalneural networks increatinganintelligentmachine
○ Demonstrate Recurrentneural networksandLSTMs in creatinganintelligentmachine
5. ImplementNatural language processing(NLP)
○ Demonstrate Speechrecognition techniquesinmodelinganintelligentsystem
○Demonstrate HiddenMarkovModels increatinganintelligentsystem
○ Create ChatbotsinMachine translation mechanism
○ Discuss Natural language generation increatinganintelligentsystem
○ implementSpeechsynthesis indevelopinganintelligentmachine
6. Describe Image Processingincreatinganintelligentsystem
○ Discussthe conceptsof computervision
○Discussthe conceptof Image segmentation
○ Demonstrate Objectandmotiondetection inimage recognition
○ discuss Objectclassification inimage processing
○ make Use of pre-trainedmodels(VGG16,Inception) increatinganintelligentmachine
for image detection

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Machine learning seo

  • 1. 1. Describe the conceptsof Search and planningincreatingintelligentagent a) Discuss History of AI, ProposingandevaluatingAIapplications foranintelligentagent b) Articulate Problem spacesandsearch foran artificial intelligentmachine c) State Knowledge andrationality inartificial intelligence d) Examine Heuristicsearchstrategies e) Demonstrate Searchandoptimization(gradientdescent) usedincreatinganintelligent agent f) Demonstrate Adversarial search foranintelligentagent g) state Planningandschedulingusedincreatinganintelligentagent h) Demonstrate searchandplanning usingcase studiessuchas Playingchess, Manufacturingscheduling orvacuumcleaner 2. Describe Knowledge RepresentationandReasoning indesigninganintelligentagent DiscussLogic andinference inrepresentationandreasoning Prepare Ontologies usedinartificial intelligent RepresentationandReasoning Demonstrate Bayesianreasoninginartificial intelligent Demonstrate Temporal reasoning inartificial intelligent Demonstrate RepresentationandReasoning usingcase studysuchas Medical diagnosis 3. Create machine learningagentforautomatedindustries Explainthe conceptof machine learning Compare Supervisedand unsupervisedlearning inmodelinganintelligentmachine Formulate Regressionlinear,logisticand ridge increatingmachine learning Demonstrate Classificationof decisiontrees,SVM,randomforests increatingmachine learning Designmodel performance evaluationwith MSE,lift,AUC,Type 1 vs 2 increating machine learning Create a machine learningusingcase studysuchas Bank failure prediction 4. Describe Machine LearningusingUnsupervisedMethods ○ State Dimensionalityreduction (PCA) increatinglearningmachine ○ implementClustering–k-means,hierarchical clusteringincreatinglearningmachine ○ Discuss Semi-supervisedmethods andReinforcementlearning increatinglearning machine ○ Discuss among machine learningtechniques increatinglearningmachine ImplementNeural networks increatinganintelligentmachine
  • 2. ○ Discuss Neural networksandback-propagation increatinganintelligentmachine ○ Demonstrate Convolutionalneural networks increatinganintelligentmachine ○ Demonstrate Recurrentneural networksandLSTMs in creatinganintelligentmachine 5. ImplementNatural language processing(NLP) ○ Demonstrate Speechrecognition techniquesinmodelinganintelligentsystem ○Demonstrate HiddenMarkovModels increatinganintelligentsystem ○ Create ChatbotsinMachine translation mechanism ○ Discuss Natural language generation increatinganintelligentsystem ○ implementSpeechsynthesis indevelopinganintelligentmachine 6. Describe Image Processingincreatinganintelligentsystem ○ Discussthe conceptsof computervision ○Discussthe conceptof Image segmentation ○ Demonstrate Objectandmotiondetection inimage recognition ○ discuss Objectclassification inimage processing ○ make Use of pre-trainedmodels(VGG16,Inception) increatinganintelligentmachine for image detection