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FODO AI
India
Приєднався 13 лип 2020
Focused Organised Dedicated Optimistic - FODO
Welcome to FODO AI, the coolest channel for AI, and the math behind it! Founded by two IIT Bombay and IIT Madras grads, We are industry-experienced AI researchers and ML Engineers.
Our mission is to bring the awesomeness of AI to hungry learners everywhere. Whether you're a data science fanatic or a tech enthusiast, we've got you covered with mind-blowing shorts, epic long lectures, and interviews with data scientists and ML pros.
But here's the kicker - we are your buddies helping you ace AI. Our Desi-style videos are a mix of Hindi and English, making it totally relatable and fun.
So, buckle up and ride the AI wave with us! Hit that subscribe button, join the squad, and let's level up together. No boring lectures here, just good vibes and epic content! Get ready to dive into the AI world like a boss - FODO AI ain't going anywhere, fam! 🔥🚀
"Fodna hai AI, toh follow FODO AI"
Welcome to FODO AI, the coolest channel for AI, and the math behind it! Founded by two IIT Bombay and IIT Madras grads, We are industry-experienced AI researchers and ML Engineers.
Our mission is to bring the awesomeness of AI to hungry learners everywhere. Whether you're a data science fanatic or a tech enthusiast, we've got you covered with mind-blowing shorts, epic long lectures, and interviews with data scientists and ML pros.
But here's the kicker - we are your buddies helping you ace AI. Our Desi-style videos are a mix of Hindi and English, making it totally relatable and fun.
So, buckle up and ride the AI wave with us! Hit that subscribe button, join the squad, and let's level up together. No boring lectures here, just good vibes and epic content! Get ready to dive into the AI world like a boss - FODO AI ain't going anywhere, fam! 🔥🚀
"Fodna hai AI, toh follow FODO AI"
CRED Data Scientist Interview Experience | Everything you should know PART 1 | #ai #fodo #ml #fodoai
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9
FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html
FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html
FODO AI ML Interview Experiences : ua-cam.com/play/PLpu5shYmubIvr-vVUQT3k9hoKWIiPP00z.html
LN's LinkedIn : www.linkedin.com/in/lnpandey/
FODO AI LinkedIn : www.linkedin.com/company/fodoai/posts/
FODO AI Instagram link: fodo.ai
FODO AI Facebook: fodoai/
00:00 - Introduction
02:01 - profile at CRED and work ex at mavQ
04:12 - preparation phase and CRED team
06:52 - Base Salary at mavQ
09:00 - CRED rounds overview
10:00 - CRED Round 1
16:04 - CRED Round 2
18:59 - CRED Round 3
29:24 - CRED Round 4
31:38 - CRED base salary range
FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html
FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html
FODO AI ML Interview Experiences : ua-cam.com/play/PLpu5shYmubIvr-vVUQT3k9hoKWIiPP00z.html
LN's LinkedIn : www.linkedin.com/in/lnpandey/
FODO AI LinkedIn : www.linkedin.com/company/fodoai/posts/
FODO AI Instagram link: fodo.ai
FODO AI Facebook: fodoai/
00:00 - Introduction
02:01 - profile at CRED and work ex at mavQ
04:12 - preparation phase and CRED team
06:52 - Base Salary at mavQ
09:00 - CRED rounds overview
10:00 - CRED Round 1
16:04 - CRED Round 2
18:59 - CRED Round 3
29:24 - CRED Round 4
31:38 - CRED base salary range
Переглядів: 277
Відео
51. Text Preprocessing, Text cleaning, Tokenisation, Stemming, Lemmatization | #fodo #ai #hindi #ml
Переглядів 629 годин тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
37. Data Preprocessing, Imputation, Outlier detection, Scaling | Python code | #fodo #ai #hindi
Переглядів 10316 годин тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
57. PCA Optimisation Problem | Variance Maximisation | Distance Minimisation | #hindi #fodoai
Переглядів 8619 годин тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
56. Geometric Interpretation of PCA | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 33День тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
55. What is PCA (Principal Component Analysis) ? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 78День тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
54. Cons of High Dimensions and Pros of Dimension Reduction? | #ai #machinelearning #hindi #fodoai
Переглядів 1114 днів тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
53. Curse of Dimensionality on Distance Metrics | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 5414 днів тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
52. Curse of Dimensionality | Why we need Dimension Reduction? | #ai #machinelearning #hindi #fodoai
Переглядів 3114 днів тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
50. What is Lemmatization | #hindi #fodo #ai #machinelearning #hindi #fodoai
Переглядів 6721 день тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
49. What is stemming ? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 3621 день тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
48. Step by Step cleaning text | NLP | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 2528 днів тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
47. Why clean text before converting text to vectors? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 928 днів тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
47. Variations of Word2Vec | Average Word2Vec | TF-IDF weighted Word2Vec | #fodo #ai #hindi #fodoai
Переглядів 2228 днів тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
46. What is Word2Vec ? | Overview | | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 2628 днів тому
FODO Machine Learning (will keep updating) : ua-cam.com/play/PLpu5shYmubIvs3OrRVHjsvgYrcLPnxu-7.html&si=k5AeCIAwsJGI5Qd9 FODO Probability and Stats Playlist : ua-cam.com/play/PLpu5shYmubIuB7g4tkTgWj6a-ugRndDWn.html FODO Linear Algebra Playlist : ua-cam.com/play/PLpu5shYmubItDA-sZLeemS62jwlaN6mRP.html FODO Placement & Interviews (always updating): ua-cam.com/play/PLpu5shYmubIsAyXtz5xvCpClWJXK5le...
45. Uni-Gram, Bi-Gram, N-Gram | Need ? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 3228 днів тому
45. Uni-Gram, Bi-Gram, N-Gram | Need ? | #fodo #ai #machinelearning #hindi #fodoai
44. Drawback of Lexical Text to Vectors | cons of BOW , TF-IDF | #fodo #ai #machinelearning #hindi
Переглядів 28Місяць тому
44. Drawback of Lexical Text to Vectors | cons of BOW , TF-IDF | #fodo #ai #machinelearning #hindi
43. How to Rank documents using TF-IDF | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 36Місяць тому
43. How to Rank documents using TF-IDF | #fodo #ai #machinelearning #hindi #fodoai
42. Why we use log in TF-IDF ? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 25Місяць тому
42. Why we use log in TF-IDF ? | #fodo #ai #machinelearning #hindi #fodoai
41. What is TF-IDF ? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 64Місяць тому
41. What is TF-IDF ? | #fodo #ai #machinelearning #hindi #fodoai
40. What is Bag of Words ? BOW | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 64Місяць тому
40. What is Bag of Words ? BOW | #fodo #ai #machinelearning #hindi #fodoai
39. What is One Hot Encoding ? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 50Місяць тому
39. What is One Hot Encoding ? | #fodo #ai #machinelearning #hindi #fodoai
38. Why we convert text to vector? Need? Good Vectors? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 34Місяць тому
38. Why we convert text to vector? Need? Good Vectors? | #fodo #ai #machinelearning #hindi #fodoai
36. Handling Outliers - Remove, Trim, Transform, Winsorizing, Binning, Imputation | #hindi #fodoai
Переглядів 19Місяць тому
36. Handling Outliers - Remove, Trim, Transform, Winsorizing, Binning, Imputation | #hindi #fodoai
35. Detecting Outlier using Modified Z - Score | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 17Місяць тому
35. Detecting Outlier using Modified Z - Score | #fodo #ai #machinelearning #hindi #fodoai
34. Detecting Outlier using Inter Quartile Range | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 19Місяць тому
34. Detecting Outlier using Inter Quartile Range | #fodo #ai #machinelearning #hindi #fodoai
33. Detecting Outlier using Z-Score | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 30Місяць тому
33. Detecting Outlier using Z-Score | #fodo #ai #machinelearning #hindi #fodoai
32. Introduction to Handling Outlier | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 25Місяць тому
32. Introduction to Handling Outlier | #fodo #ai #machinelearning #hindi #fodoai
30. What is Multiple Data Imputation ? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 29Місяць тому
30. What is Multiple Data Imputation ? | #fodo #ai #machinelearning #hindi #fodoai
28. What is Model Based Imputation ? | #fodo #ai #machinelearning #hindi #fodoai
Переглядів 21Місяць тому
28. What is Model Based Imputation ? | #fodo #ai #machinelearning #hindi #fodoai
Great content!
@onkarmahapatra7595 thank you
Awesome LN Bhaiya! Great going!
@arupdas2210 thanks Arup bhai
Great work, waiting for part 2
@AbhishekPrasanna-v7e thank you bhai
Noice 🎉
Thank you Ankit bhai
can you post linkedin profile.....?
We have tagged him in Linkedin, please check
Interested to share your Interview experience? Fill in this form below, and we’ll get in touch! Let’s make the AI/ML community stronger - together. 💡🔍 Form : forms.gle/9b5BXC3JPDvW8QZf8 contact us - fodoai.team@gmail.com
Wow.... Enjoyed & got to learn many things through your experience... Great work 👏👏👍
Appreciate the love and support, keep learning!
Bhaiya Is the Linear Algebra playlist complete?
@HillFrey247 haan bhai, it is complete
I was doing Gilbert Strang's LA course which was taking more time as I can't play it on 2x due to poor sound quality.I hope this course will suffice it.
@@HillFrey247 this is sufficient bhai, hindi mein jaldi grasp karoge.
Aisi consistency toh main bhi maintain karna chahta hu 💪🏼 Kya fod rahe ho LN bhai! Respect ++
@debarchanbasu768 thank you for your kind words bhai, but schedule se 2 months peeche hain
Can you not add the solution for your problems given to solve. I really loving your lectures but to confirm whether my solution is correct or not, I needed the solution set
@subhamraj7124 no sir, We will not provide solutions in public, instead we insist you to provide your solutions as a google drive link, other viewers might see contribute / suggests their opinion including us. As a whole the community should get benefit. Learnings should be multi-directional instead of uni-directional.
Can you tell the answer of question 11
what is the difference between plane in column picture and the coefficient matrix
@@subhamraj7124 When equation 1 is added to equation 2, several components of the system are affected: ## Row Picture The planes in the row picture change because adding equations modifies the geometric representation of the second equation, resulting in a different plane. ## Column Picture The column vectors remain unchanged since adding equations doesn't alter the fundamental column structure of the system. ## Coefficient Matrix The coefficient matrix changes because adding equations modifies the entries in the second row of the matrix. ## Solution The solution remains unchanged despite these modifications to the system's representation. This is because adding one equation to another is an elementary row operation that preserves the solution set of the system. This demonstrates an important principle in linear algebra: while certain operations may alter the representation of a system, they don't necessarily change its fundamental solution. Let me explain this with a concrete example: ## Example System Consider this simple system of equations: ``` Equation 1: 2x + y = 4 Equation 2: x - y = 1 ``` When we add equation 1 to equation 2, we get: ``` Equation 1: 2x + y = 4 New Equation 2: 3x = 5 (after adding) ``` ## What Changes **Planes in Row Picture** - Original plane 2: x - y = 1 - New plane 2: 3x = 5 The second plane has changed to a different orientation. **Column Picture** The column vectors remain exactly the same: $$ \begin{pmatrix} 2 \\ 1 \end{pmatrix}x + \begin{pmatrix} 1 \\ -1 \end{pmatrix}y $$ **Coefficient Matrix** Changes from: $$ \begin{pmatrix} 2 & 1 \\ 1 & -1 \end{pmatrix} $$ to: $$ \begin{pmatrix} 2 & 1 \\ 3 & 0 \end{pmatrix} $$ **Solution** The solution (x = 1, y = 2) remains unchanged, as adding equations is a valid elementary row operation that preserves the solution set.
@ column picture will also change to 2 & 1 \\ 3& 0 right?
@ i got clarity in all other points except for column picture
@5:30 Isn't the value for X if we replace with 1 will be 0.5? I guess you have taken the X value as 1
@madunishant6052 Please elaborate your question, we are not able to get it.
@@fodoai For the Equation 2x-y if you solve/replace the x and y values with 1 and zero you get coordinates as (0.5,2) and (0,0). To elaborate even more if we solve the equation and replace x and y values with zero you get coordinates (0,0) and if we solve the equation and replace x and y values with 1 we get coordinates (0.5,2) where as you mentioned (1,2)
@@madunishant6052 in equation 2x-y = 0 can be written as y = 2x, now when you will put x = 1, y = 2. therefore (1,2) lies on the line 2x - y = 0. (0.5, 2) does not satisfy the equation 2x-y = 0.
thank you for teaching us. i hope that one day this channel gets popular. i got to know about this channel from linkedin
Hey @movocode , genuine viewers like you and genuine comments like this keep us motivated ❤️ popular toh aap log hi kar sakte ho, humne apna kaam kar diya 😅
Bhiya when we start coding part?
Uploaded few coding videos, please check the same playlist, I have rearranged the playlist according to the concepts and their respective coding part
Nice
LN bhaiya, please keep going. Gajjab padhaate ho yaar badhiya revision ho jaata hai ❤
arey Thank you bhai @debarchanbasu768 :) aaj achi neend aayegi ❤
It would be really useful for everyone who is going through the Playlist like me to have the Notes provided which you use in the Videos.
Hey @madunishant6052 , notes will be available on our website. Website will be live soon
Thank You!! 😊
Sir will you teach how to code the machine learning models using the useful python libraries?
@16utsavmondal46 yes, will be uploading few coding videos soon
Sir please provide the lecture notes.
It will be available soon on our website. Website will be live soon
great exercise question
Thank you Mehul
Thank you for uploading video series on Linear Algebra. Keep promoting your channel on social media. I came to your channel from LinkedIn.
Thank you for your kind words bhai @movocode
is this series completed?
Yes it is complete.
Thanks will complete this. What about the statistics and probability playlist?
Is this course enough to crack the applied scientist roles at faang companies ?
Yes absolutely, stay in touch, will keep updating. For ML roles at product based companies, Foundational mathematics for ML is must. Please start with Linear Algebra and Probability playlist, if not started yet. You will be able to answer all the interview questions with ease. Linear Algebra and Probability playlist are complete - It took us 6+ months to curate them, it is the best you will find.
Great style, good content
Thank you for your appreciation!
Thanks Sir for the content, came here from some linkedin post✨
Very clear and good explanation!
Thank you 🙏🏻
Superb, No bakwas sidha kam ki baat ❤ love this series
Thank you bhai, Once you finish Linear Algebra, start with Probability and stats. You will be able to answer all the interview questions for ML - roles!
@ really appreciate your efforts!
Sir just want to ask is the Probability and Statistic playlist complete from a DS/ML perspective ?
It is complete. You will be able to answer any interview question
Bhaiya will you also do projects after this??
@rajatagrwl9328 soon 🤞🏻
@@fodoai❤❤thanks bhaiya.. BtW loving ur videos...these are gems...
why only X2 and X4
Because those columns does not have any pivots. By definition these columns are free columns. What is pivot? Explained in previous videos.
Hello sir can you please provide the notes of your mathematics lecture it would be of great help for me and for the viewers
Dear @ommanojsharma7118 , Notes will be uploaded on our website. Website will be in public soon! Thank you for your patience and time.
@fodoai do keep them free like your lectures
Hi! I am selected for phd in IIT Patna. I have to take admission before 27 dec. But I'm little bit confused with this decision. I want some suggestion. Can you provide me tulika ma'am email or contact ? I'm in cloudy mind.
Please connect with her over LinkedIn.
@@fodoai her LinkedIn id ?
Nice approach to explain bhai! Warning bhi achi di starting me.
Thank you bhai
This is the best strategy sir, for those who have completed the syllabus.what could be the best possible strategy for those whose 3 or more subjects are yet to be completed? Please sir 🙏
Sir it's really helpful tbh, can you also do it with dataset I have watched all your machine learning vids
nicely explained
Thanks! Glad you found it helpful.
Great Video Sir!! Very nice explanation.
Thanks for your encouragement, it means a lot!
Views on these videos are inversely proportional to the quality of content as of now. But the growth gonna be exponential. Content is truely amazing 🙌
Thank you bhai. Do share with others! 🙂
Like
Hello sir I was watching your mathematics playlist so I wanted to ask is your linear algebra and prob & starts playlist complete Btw love the way you are teaching mathematics in depth
Glad you like it. Almost everything is covered. If I feel in future I have to add something here and there, will add.
Sir i also want to succeed like you, from same college
Grind and Hustle bhai 🫡
can say she speaks beautifully
Abb ya kon kon bol tha ki m.tech students not placed in hft firms
Bhai bas mehnat karna apne haath mein hain 😀
Yes brother 😀😁😁
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A **saddle point** is a concept from mathematical optimization and game theory that describes a point in a function’s domain where the point is neither a local maximum nor a local minimum but has properties of both. Here’s a concise explanation: A saddle point of a function is a point where the function’s behavior is: * Concave in one direction (like a local maximum) and * Convex in another direction (like a local minimum). Characteristics: 1. For Multivariable Functions: - In a function of two variables f(x, y), a saddle point (x_0, y_0) satisfies: - f(x_0, y_0) is neither a local maximum nor a local minimum. - f(x_0, y_0) is a point where the surface curves up in some directions and down in others. 2. In Optimization: - Saddle points are important in optimization problems, especially when finding minima or maxima. They often indicate points where the function’s gradient is zero but not necessarily a local extremum. A saddle point is a critical point where the function exhibits mixed curvature-acting as a local minimum in one direction and a local maximum in another direction. #ml #data #datascience #fodo #fodoai #ai #machinelearning #maths
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Sir mera written clr ho gya h ....meri English achhhhi nhi can i use Hindi for general qsns and English fir technical part????
Share those questions 6:06
Interviwee stop laughing, take it seriously. Guest is rational.
Yes