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Machine Learning
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October 2023
1
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__RMSE
__R2
_Unit 4
__K-nearest neighbour
__Support vector machine
__Bagging
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__Random Forest
__Adaboost
__Binary-vs-Multiclass Classification
__Classification Problems
__Variants of Multiclass Classification
__Accuracy
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__Cross-validation
__Micro-Average Precision
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_Unit 5
__K-Means
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__Outlier analysis
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__Elbow method
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Design and Analysis of Algorithms
_Unit 3
__Greedy strategy
__knapsack problem
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__activity selection problem
__Dynamic Programming
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__Chain Matrix multiplication
_Unit 4
__Backtracking
__8-queen problem
__Graph coloring problem
__Sum of subsets problem
__Branch-n-Bound
__Strategies-FIFO
__LIFO approach
__LC approach
__TSP
__knapsack problem
_Unit 5
__Amortized Analysis
__Accounting Method
__Potential Function method
__Amortized analysis-binary counter
__stack Time-Space tradeoff
__Tractable Problem
__Non-Tractable Problem
__Randomized algorithm
__Approximate algorithm
__Embedded Algorithms
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_Unit 6
__Multithreaded Algorithms
__Performance measures
__Analyzing multithreaded algorithm
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__Problem Solving Using MA
__Multithreaded matrix multiplication
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__Distributed breadth first search
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__String Matching
__The Naive string matching algorithm
__The Rabin-Karp algorithm
_PYQ Solution
Blockchain Technology
_Unit 3
__Types of Blockchain Platforms
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__Hyperledger
__IoTA
__Corda
__Corda R3
__Consensus in Blockchain
__Consensus Approach
__Consensus Elements
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__Byzantine General problem
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__What is Ethereum
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