@chuuyastu_rei
50/50 ajye sabkee..kise ke bhi ekat sub me todha bura gaya hon tension not ai bacha lega🐱🙌 Op!mast gaya ai tysmmmmmm bhaiya~~
@aardev1529
Intro to AI - 0:37 Project cycle - 20:47 Data science - 1:07:42 Computer Vision- 1:13:57 NLP - 1:35:48 Evaluation will have special class
@Mehta0007
1like ---99 marks in AI , IT AND CA 😇😇😇
@Sumit_Yadav006
One day before board exam 😂
@ritabratagoswami4596
Bhagwan ka nam leker like nhi karoge to Ai me fail 😂😂😂
@NityamSingh-m8r
Jo like krega bhagwan kare uske 50/50 aaye😂❤
@Radiantsoul_789
I am also from kv PM SHRI KENDRIYA VIDYALAYA NDA PUNE ❤❤ LIKE IF YOU ARE PROUD KVIANS
@gargikumari7385
People who are watching at 8:20 in the morning are cooked for real ... and at 10:00 exam starts ...
@abcdt-fw7pt
kon kon A.I ka exam phodene wala hai🗿🗿🗿? attendence lagao👇👇
@sheetalpatel5397
all the best for Tomorrow's exam(like or else you fail in ai)😂
@Hadiyasiddiqui24
Timestamps (Powered by Merlin AI) 00:02 - Complete AI Class 10 Part B in one shot with revision 02:31 - AI encompasses machine learning and deep learning as subsets. 06:34 - Computer vision and natural language processing in AI 08:48 - Ethical use of AI and its implications 12:53 - Reasons for collecting data and types of sensors 15:08 - Importance of data privacy and consent when installing apps 19:11 - Introduction to AI impacts on jobs and AI for Kids 21:04 - Understanding data acquisition and project cycle in AI 24:56 - Understanding the four W's for efficient problem solving 26:49 - Understanding the problem statement template 30:18 - Importance of authentic and relevant data for efficient AI projects 32:26 - Big data concepts and web scraping 36:34 - Creating a News API function in Python 38:36 - Government data authenticity and exploration importance 42:17 - Training the machine on a different data set will result in failure and no learning. 44:11 - Supervised learning involves classification and regression based on labeled dataset. 48:01 - Regression works on continuous data beyond classification. 50:14 - Explaining the concept and difference between supervised and unsupervised learning. 55:33 - Introduction to reinforcement learning and neural networks 57:20 - Larger neural networks perform better with more data. 1:01:10 - Neural networks work through interconnected layers of nodes 1:03:04 - Hidden layers in AI perform complex processing 1:06:43 - Data is the new gold for AI as it learns and operates based on data 1:08:27 - Applications of Data Science in financial risk assessment and genetics 1:12:36 - Understanding the significance of Project Cycle Revisiting 1:14:20 - Utilizing computer vision in retail shops for inventory management 1:18:58 - OCR and Computer Vision models in AI 1:21:07 - Object detection and identification in computer vision 1:25:16 - Understanding pixel dimension and resolution 1:27:08 - Understanding resolution in terms of megapixels and pixel value range. 1:31:12 - Understanding pixel values and grayscale images 1:33:10 - Combining red, green, and blue colors to create different shades and colors 1:37:06 - Natural Language Processing (NLP) is a subfield of AI focusing on understanding human language 1:39:11 - Understanding Sentimental Analysis and its importance. 1:43:58 - AI assistants can make our lives easier by helping with tasks. 1:45:50 - Creating a chatbot for emotional support 1:49:51 - Understanding degree one and degree four graphs and their representation 1:51:56 - Underfitting and Overfitting in AI models 1:56:09 - AI vs Human Language Processing 1:58:24 - Understanding the process of brain processing and computer language conversion. 2:02:26 - Understanding the interpretation of machine based on context 2:04:30 - Text normalization process overview 2:08:28 - Understanding Stop Words in Natural Language Processing 2:10:25 - Understanding Stemming and Lemmatization in AI Text Processing 2:14:21 - Bag of Words process in text normalization. 2:16:12 - Importance of stop words in AI class 10 2:19:48 - Creating a Document Vector Table for a Corpus 2:21:25 - Understanding the relationship between frequency and value of words 2:25:04 - Understanding Document Frequency in AI Class 10 2:27:03 - Understanding Term Frequency and Inverse Document Frequency (TF IDF) 2:31:25 - Understanding TF-IDF and its Applications 2:33:47 - Good luck for the exams!
@Sumitkumar-jw5el
Kiska kiska maths ka paper khrab gya😢
@RaviPatil-d7n
Me who watching at 2 30 mera hogeya he or me Ai ka paper phod ke auoga😎😎,like karo tum bhi phod ke auoge
@darkgaming1330
Legends are watching one day before exam 😂 Attandance here 👇👇👇👇
@aanvityagi3009
Different ways to visulise data 1. Bullet graphs 2. Histogram 3. Tree diagram 4. Scatterplot and etc
@StarsportsIndia011
Started AI now😊
@ANUJTHAKUR-rr2xs
#Be positive paper acha hi hoga AI ka bhi 🌸. Like kro agr tumne bhi AI KI BOOK nhi li😂.
@sultanirshad3849
Time stamp Introduction to ai 0:29 Ai project cycle 20:47 Neural networks 56:34 Data science 1:13:25 Computer vision 1:13:25 Introduction to NLP 1:35:59
@rashmisinha3655
Jo like karega uke 90+ aayenge: NO RISK😊
@Aiforkids