Kaustubh KulkarniforProgramming Tutorialskaustubhk.hashnode.dev·Sep 23, 2024Bias-Variance Trade-offIn machine learning, the bias-variance trade-off is a fundamental concept used to evaluate the performance of a model. It helps explain the sources of error in predictions. The total error (expected loss) of a model can be decomposed into three compo...DiscussIntroduction to Machine Learningweek1
Kaustubh KulkarniforProgramming Tutorialskaustubhk.hashnode.dev·Sep 22, 2024k nearest neighbor regressionLengthWeightCost 101545 11637 121448 7933 91438 81240 61135 151050 14846 71235 10636 13844 9732 5830 51030 Dataset for K-NN Regression In the above dataset, we have 15 data points. The dataset contains the length and weight of meta...DiscussIntroduction to Machine Learningweek1
Kaustubh KulkarniforProgramming Tutorialskaustubhk.hashnode.dev·Sep 20, 2024Bias in k-NN classifierIn the case of K-nearest neighbors (KNN) classifiers, the bias typically increases as the value of K increases. Here's why: When K is small (e.g., K=1), the model tends to overfit the training data, as it is highly sensitive to noise and anomalies. ...DiscussIntroduction to Machine Learningweek1
Kaustubh KulkarniforProgramming Tutorialskaustubhk.hashnode.dev·Sep 18, 2024Policy in Reinforcement LearningIn reinforcement learning, a policy is a function or strategy that determines the action an agent should take given a particular state. It essentially maps states to actions, guiding the agent’s behaviour in the environment. The policy can be determi...DiscussIntroduction to Machine Learningweek1
Kaustubh KulkarniforProgramming Tutorialskaustubhk.hashnode.dev·Sep 18, 2024Overfitting and Training ErrorHere is a 2-dimensional plot showing two functions that classify data points into two classes. The red points belong to one class, and the green points belong to another. The dotted blue line (F1) and dashed pink line (F2) represent the two trained f...DiscussIntroduction to Machine Learningweek1
Kaustubh KulkarniforProgramming Tutorialskaustubhk.hashnode.dev·Sep 18, 2024Regression Vs ClassificationExample of regression: Predicting the weight of a giraffe based on its height Predict the runs a cricketer will score in a particular match. Predicting the monthly sales of a cloth store in rupees. Predicting the confirmation probability (in fraction...DiscussIntroduction to Machine Learningweek1
Kaustubh KulkarniforProgramming Tutorialskaustubhk.hashnode.dev·Sep 18, 2024Supervised and Unsupervised LearningSupervised learning problems Predicting credit approval based on historical data. Predicting if a new image has cat or dog based on the historical data of other images of cats and dogs, where you are supplied the information about which image is ca...DiscussIntroduction to Machine Learningweek1
Yagya GoelforTech Discoveries with Yagyayagyagoel1.hashnode.dev·Sep 8, 2024Week 1: Golang doesn't have While loopThis week, I learned about array slices, maps, structs (classes in Golang), if-else statements, switch-case, loops, functions, methods, and the defer keyword. Golang is a pretty interesting language with its opinionated syntax that keeps the code lo...Discuss·1 likeGo Language
Adarsh NforAdarsh N's blogadarshn.hashnode.dev·Aug 5, 2024Kickstarting My DevOps Adventure: Week 1 RecapIntroduction Starting a journey in DevOps can be both exciting and daunting. With countless resources available, it’s essential to find a structured path that can guide you through the complexities of the field. For my journey, I’ve been following th...Discuss·64 readsDevops
ritiksharmaaaforRitikSharmaaaritiksharmaaa.hashnode.dev·Jul 15, 2024DSA Week 1: Master Data Types, Loops, and Conditional Operators to Kickstart Your Coding Journey!Week 1-2: Fundamentals Day 1-2: Data Types Learning: int, float, boolean, string, char, long, double, bigint Practice: Exercises on each data type Day 3-4: Condition Operators Learning: if-else, switch statement, ternary operator Practice: Co...DiscussData Structure And AlgorithmsDSA
