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Machine Learning
_Unit 3
__Bias
__Variance
__Generalization
__Underfitting
__Overfitting
__Linear regression
__Lasso regression
__Ridge regression
__Gradient descent
__MAE
__RMSE
__R2
_Unit 4
__K-nearest neighbour
__Support vector machine
__Bagging
__Boosting
__Random Forest
__Adaboost
__Binary-vs-Multiclass Classification
__Classification Problems
__Variants of Multiclass Classification
__Accuracy
__Precision
__Recall
__Fscore
__Cross-validation
__Micro-Average Precision
__Micro-Average Recall
__Micro-Average F-score
__Macro-Average Precision
__Macro-Average Recall
__Macro-Average F-score
_Unit 5
__K-Means
__K-medoids
__Hierarchical Clustering
__Density-based Clustering
__Spectral Clustering
__Outlier analysis
__Isolation factor
__local outlier factor
__Elbow method
__Extrinsic Method
__Intrinsic method
_Unit 6
__ANN
__Single Layer NN
__Multilayer Perceptron
__Back Propagation Learning
__Functional Link ANN
__Radial Basis FN
__Activation functions
__RNN
__CNN
_PYQ Solution
Design and Analysis of Algorithms
_Unit 3
__Greedy strategy
__knapsack problem
__Job scheduling
__activity selection problem
__Dynamic Programming
___Binomial coefficients
__OBST
__0/1 knapsack
__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
__Embedded system scheduling
__sorting algorithm
_Unit 6
__Multithreaded Algorithms
__Performance measures
__Analyzing multithreaded algorithm
__Parallel loops
__Race conditions
__Problem Solving Using MA
__Multithreaded matrix multiplication
__Multithreaded merge sort
__Distributed Algorithms
__Distributed breadth first search
__Distributed Minimum Spanning Tree
__String Matching
__The Naive string matching algorithm
__The Rabin-Karp algorithm
_PYQ Solution
Blockchain Technology
_Unit 3
__Types of Blockchain Platforms
__Bitcoin
__Ethereum
__Hyperledger
__IoTA
__Corda
__Corda R3
__Consensus in Blockchain
__Consensus Approach
__Consensus Elements
__Consensus Algorithms
__Proof of Work
__Byzantine General problem
__Proof of Stake
__Proof of Elapsed Time
__Proof of Activity
__Proof of Burn
_Unit 4
__Bitcoin and the Cryptocurrency
__Cryptocurrency Basics
__Types of Cryptocurrency
__Cryptocurrency Usage
__Metamask
__Coinbase
__Binance
_Unit 5
__What is Ethereum
__Types of Ethereum Networks
__EVM
__Smart contracts
__Purpose and types of Smart Contracts
__Implementing and deploying SC
__Swarm
__Whisper
_Unit 6
__Prominent Blockchain Applications
__Retail
__Banking and Financial Services
__Government Sector
__Healthcare
__IOT
__Energy and Utilities
__Blockchain Integration
_PYQ Solution
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Unit 4
Balanced and Imbalanced Multiclass Classification Problems
Balanced and Imbalanced Multiclass Classification Problems
November 22, 2023
Balanced and Imbalanced Multiclass Classification Problems:
Coming soon…..
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Labels
0/1 Knapsack Problem
8 Queen problem
8-queen problem
Accuracy
Adaboost
Analysing Multithreaded Algorithms
Backtracking
Bagging
Balanced and Imbalanced Multiclass Classification Problems
BFS
Bias
Binance
Binary-vs-Multiclass Classification
Binomial coefficients
Bitcoin
Bitcoin and the Cryptocurrency
Blockchain Technology
Boosting
Branch and Bound
BT
Byzantine General problem
Chain matrix multiplication
Classification
Coinbase
Consensus
Consensus Algorithm
Consensus Algorithms
Consensus Approach
Consensus Element
Consensus Elements
Consensus in blockchain
consortium
Consortium Blockchain
control abstraction
Corda
Corda R3
Cross-validation
Crypto wallet
Cryptocurrency
Cryptocurrency Basics
Cryptocurrency Usage
DAA
Design and Analysis of Algorithms
Distributed Algorithms
Distributed Breadth-First Search
Distributed Minimum Spanning Tree Algorithm
Ensemble Learning
Ethereum
Evaluation Metrics
Evaluation Metrics and Score
F-Score
F1 Score
FIFO
GDA
Gradient descent algorithm
Graph coloring problem
greedy strategy
High bias
Hyperledger
Introduction to Cryptocurrency
IOTA
Job scheduling
K-nearest neighbor
Knapsack Problem
Lasso Regression
LC
LIFO
Linier regression
Logistics Regression
Low bias
machine learning
Macro-Average F-score
Macro-Average Precision and Recall
MAE
Matrix multiplication
MetaMask
Micro-Average Precision and Recall
ML
MST
Multithreaded Algorithms
Multithreaded Merge Sort
Naive String Matching Algorithm
OBST
One-vs-All
One-vs-One
Overfitting
Parallel Loop
Performance Measures
POA
POB
POET
POS
pow
Precision
principle
Principle of Dynamic programming
private
Private Blockchain
Problem Solving using Multithreaded Algorithms
Proof of Activity
Proof of Activity in blockchain
Proof of Burn
Proof of Burn in blockchain
Proof of Elapsed Time
Proof of Elapsed Time in blockchain
Proof of Stake
Proof of Stake in blockchain
Proof of Work
public
Public Blockchain
R^2
R2
R3
Rabin-Karp Algorithm
Race Conditions
Race Conditions in Multithreading
Random Forest
Recall
Reduce high bias
Regression
RF
RMsE
scheduling algorithm
SPPU
strategies
String Matching
sum of subset problem
sum of subsets problem
Support vector machine
svm
time analysis
Time analysis of control abstraction
travelling salesman problem
TSP
Types of Blockchain
Types of Cryptocurrencies
Types of Cryptocurrency
Underfitting
Unit 3
Unit 4
Unit 6
Variance
Variants of Multiclass Classification
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