Відео

6:04:02 i think 2nd option is correct bcoz it is saying tuple not column

Anyone from BEU😊

Sir, could please add a one-shot lecture regarding pre-requisite maths required for Machine Learning? Like Linear Algebra and Probability and Statistics

Disclaimer:- Civil Engineers, it's not for you

this finally cleared it.

But Sir candidate keys ars vw and xw so how x only be a candidate key

Bihar

Sir Os,Toc ,cn ki bhi daal dijiye 😢

Actually I'm preparing for GATE and feels like concept is 100% given in this one shot videos . Pyq se solve khud karenge concept samajke to gate bhe nikal zayega❤❤ thank you sir

Thankyou sir Aapki wajah se meko group theory smajh aayi .

thank you so much

thank you so much

Sala kisi ko question se matlab nhi hai, sabhi ko bus sir ka chopa lga na hai, Thank you sir for the video🤑🤑

Sir, when will you upload one shot on DE for gate.. I am your learner and wants to continuing it...

00:01 The video covers all key machine learning topics in a concise manner 02:31 Behavior should change with time 06:29 Importance of continuous learning in problem-solving approach 08:32 Efficiency and accuracy in machine learning algorithms 13:09 Importance of identification and unsupervised learning in machine learning 15:43 Well-defined learning problems in machine learning 19:34 Neurons are the control units of the body and artificial circuits, deciding and processing signals. 21:37 Neural networks development from the 1950s to 1986 25:54 Evolution of Neural Networks and Machine learning 27:58 Machine Learning involves learning from mistakes and improving over time 31:46 Applying machine learning and AI in various fields 33:34 Machine learning enables image recognition and its applications 38:11 Machine Learning has diverse applications in stock market analysis and automation. 40:24 Data is ruling the world right now 44:05 Introduction to Artificial Neural Network 46:10 Understanding neural networks and their functioning 49:56 Clustering is a key concept in unsupervised learning 51:47 Understanding clustering in machine learning for data reduction and hypothesis generation. 55:38 Understanding clustering and classification in ML 57:59 Implementing different clustering methods in machine learning 1:01:54 Introduction to Decision Tree in Machine Learning 1:03:36 Machine learning is important for predicting outcomes based on input variables. 1:07:27 Reinforcement learning is about agents learning to make decisions through actions 1:09:17 Reinforcement learning and support vector machine are discussed in detail 1:13:02 Explaining genetic algorithms in machine learning 1:14:44 Quality data is crucial for effective machine learning models 1:18:41 Caution needed in application of machine learning technology 1:20:31 Distinguishing data science and machine learning 1:24:31 Understanding Regression Model in Machine Learning 1:26:21 Introduction to Linear Regression in Machine Learning 1:30:04 Logistic Regression is a type of classification approach. 1:31:58 Explanation of Logistic Regression in Machine Learning 1:35:32 Introduction to Conditional Probability 1:37:28 Explaining probability calculation in a simple case 1:41:19 Understanding Probability and Prime Numbers 1:43:07 Concept learning in machine learning 1:47:08 Understanding the impact of parameters on enjoyment 1:48:57 Introduction to the learning process 1:52:54 Spam email classification and probability analysis 1:55:30 Calculating probability using Bayes' theorem in machine learning 1:59:41 Calculating the probability of an email being spam 2:01:44 Understanding probability calculation for class prediction 2:05:39 Understanding the Conditional Probability Theorem 2:07:38 Understanding conditional probability for overweight and eating habits 2:11:41 Calculating conditional probability with examples. 2:13:40 Understanding conditional probabilities in machine learning. 2:17:16 Probability and dependencies in events 2:19:15 Efficient interference algorithm for calculating probabilities 2:22:53 SVM in Space: Linear and Non-linear separation 2:24:59 SVM fundamental idea for non-linear separable data 2:29:15 Introduction to neural networks and mathematical representation 2:31:14 Unit 3 covers decision tree, k-nearest neighbors, and entropy for understanding machine learning. 2:34:50 Pruning is used to reduce the size of the Decision Tree 2:36:43 Decision trees are popular tools for decision making 2:40:18 Customer priority classification based on frequency and status 2:42:04 Assuming risk based on pollution levels and temperature 2:45:44 Introduction to decision tree in machine learning 2:47:44 Understanding entropy and its role in decision making. 2:51:48 Understanding entropy in ML for decision-making 2:53:42 Understanding log off probability in machine learning 2:57:48 Understanding and calculating information gain in machine learning 2:59:50 Information gain from Outlook is the highest. 3:03:39 Understanding the impact of humidity on information gain 3:05:39 Machine Learning decision making process 3:09:21 The widespread decision tree algorithm has become a popular choice in the market. 3:11:37 Decision Trees CRT for Classification and Regression 3:15:23 Inductive bias guides machine learning process 3:17:17 Advantage of using small data sets in training 3:20:53 Introduction to Instance Based Learning using KNN algorithm 3:22:42 Instance-based learning uses past data to predict outcomes for new instances 5:55:49 Complete ML Machine Learning in one shot

Jharkhand

Good night GOTU

8:22:47 thankyou sir ❤

A humble request sir cloud computing, multimedia technology pe oneshot lecture bnaiye sir

Sir please make video on image processing and internet of things 😢😢one shot video please sir requesting you 😢😢😢

Sir please make video on images processing and internet of things one shot video please sir😢😢

Sir please make video on image processing for semester exam please 😢

OPERATING SYSTEM JOURNEY Day1:- 19:10

D

thanks a lot sir.

Sir please make one shot video in image processing nd internet of things please 🙏 sir requesting you

Sir please make one shot video in image processing nd internet of things please 🙏 sir requesting you

Sir please make one shot video in image processing nd internet of things please 🙏 sir requesting you

Sir please make one shot video in image processing 🙏🙏

sir can you make this video on one go ? if you can then hatsoff to you i even can learn by this in one go

Sir main apke sare video dekhti hun nd it's really very helpful ❤❤❤ special for one shot video ❤❤for semester exam please sir data science nd image processing ka v one short video bna dijiye na🙏🙏🙏

Rajasthan

Love From West Bengal Sir ❤❤

sir aur subject ka one shot kb aayega please inform tha

Sir please make video course on cloud computing

Sir rupesh mera name hai🧐😅🤣

sir gate one shot series resume karo

where will i get pdf

Arey bhai ye subject itna confusing kyu hai 😪

Concept is crystal and clear 😌

4

Sir, jaise ki aap bolte hai na comment section main pura bharat ki naksa nazar main aye. Mai bolunga pura computer science ki all topics aapki channel par nazar main aye. ❤❤❤

Sir, jaise ki aap bolte hai na comment section main pura bharat ki naksa nazar main aye. Mai bolunga pura computer science ki all topics aapki channel par nazar main aye. ❤❤❤

Sir, jaise ki aap bolte hai na comment section main pura bharat ki naksa nazar main aye. Mai bolunga pura computer science ki all topics aapki channel par nazar main aye. ❤❤❤

EAF= Effort Adjustment Factor not Error Adjustment Factor

Pune

From Kashmir❤

Love you sir

Sir please make a one-shot video on 8085 microprocessor 🙏

Sir please make a one-shot video on 8085 microprocessor 🙏