🔊NPTEL Introduction to Machine Learning – IITKGP 7 days 6 Quiz Assignment Answers | July 2022
This training course delivers a concise introduction to the elementary ideas in machine learning and preferred machine learning algorithms. We will protect the common and most well-liked supervised learning algorithms which includes linear regression, logistic regression, selection trees, k-nearest neighbour, an introduction to Bayesian mastering and the naïve Bayes algorithm, support vector machines and kernels and neural networks with an introduction to Deep Discovering. We will also cover the standard clustering algorithms. Feature reduction techniques will also be reviewed. We will introduce the fundamentals of computational understanding concept. In the study course we will talk about many issues relevant to the application of machine learning algorithms. We will focus on hypothesis space, overfitting, bias and variance, tradeoffs amongst representational electricity and learnability, evaluation approaches and cross-validation. The study course will be accompanied by arms-on problem resolving with programming in Python and some tutorial sessions.
————————————————————————————
~~Study course Layout~~
Week 1: Introduction: Standard definitions, varieties of studying, speculation house and inductive bias, analysis, cross-validation
Week 2: Linear regression, Final decision trees, overfitting
7 days 3: Instance based mostly finding out, Feature reduction, Collaborative filtering primarily based advice
Week 4: Chance and Bayes discovering
7 days 5: Logistic Regression, Assist Vector Equipment, Kernel function and Kernel SVM
Week 6: Neural network: Perceptron, multilayer community, backpropagation, introduction to deep neural network
7 days 7: Computational mastering theory, PAC learning product, Sample complexity, VC Dimension, Ensemble finding out
7 days 8: Clustering: k-suggests, adaptive hierarchical clustering, Gaussian mixture product
————————————————————————————
🔴Textbooks and References:
1. Machine Learning. Tom Mitchell. Initially Version, McGraw- Hill, 1997.
2. Introduction to Machine Learning Edition 2, by Ethem Alpaydinal)
————————————————————————————
⚠️Note: We do not claim 💯% accuracy of provided methods. These answers are dependent on our sole expertise. We are publishing these alternative just for your reference, so we ask for our pupils group to do your assignment on your have and verify it.
➡️Kindly notice, if any modifications are manufactured in the answer, will be notified in remark area.
➡️If you have any doubt in the option please put in comment section, we will test our most effective to make clear it.
————————————————————————————
✨ Topics Coated ✨
Introduction to Machine Learning – IITKGP
Introduction to Machine Learning – IITKGP 7 days-6 assignment responses
Nptel Introduction to Machine Learning – IITKGP week6 quiz assignment solutions
Nptel Introduction to Machine Learning – IITKGP 7 days 6 responses
Introduction to Machine Learning – IITKGP week 6
Introduction to Machine Learning – IITKGP Week- 6 Assignment Solutions
Introduction to Machine Learning – IITKGP 7 days-6 assignment answers
Introduction to Machine Learning – IITKGP 7 days 6 nptel
Nptel Introduction to Machine Learning – IITKGP assignment responses 2022
————————————————————————————
🌟 ❤️ ! 🌟
🏷️Join Telegram Channel – https://t.me/techiestalk
📸 Instagram – https://www.instagram.com/techies_speak_
📝 Facebook – https://www.fb.com/TechiesTalk227
🎙️ Subscribe in this article YouTube Channel – https://www.youtube.com/c/TechiesTalk
💻For Business Enquiry – faheem@techiestalk.in
————————————————————————————
✨ Tags Employed in this video clip ✨
#techiestalk #nptel2022 #onlinecourses #IITKGP #pupils #understanding #employment #Introduction_to_Machine_Learning #electivecourse #7 days6 #machinelearning #ml #onlineearning #machinelearningtutorialforbeginners #machinelearningbasics
