- 519
- 13 403 223
Applied AI Course
India
Приєднався 12 чер 2017
The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data-science and AI that would help the participants go from a real world business problem to a first cut, working and deployable AI solution to the problem. Our primary focus is to help participants build real world AI solutions using the skills they learn in this course.
This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 20+ case studies of real world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to used in the real world.
This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 20+ case studies of real world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to used in the real world.
Problem on Baye's Theorem | Problem Solving
#gatecse2023 #bayestheorem #problmesolving
For more details about the GATE Applied Course: gate.appliedroots.com
For more details about the GATE Applied Course: gate.appliedroots.com
Переглядів: 2 089
Відео
Live on 1st Jan: Interactive Interview Session for Data Analyst roles
Переглядів 2,1 тис.Рік тому
AppliedAICourse.com
Live on 27th Nov: Practical Time series Forecasting
Переглядів 1,5 тис.Рік тому
Live on 27th Nov: Practical Time series Forecasting
Live on 28th Aug: Knowledge Distillation in Deep Learning
Переглядів 2,4 тис.2 роки тому
AppliedAICourse.com Scaler.com
Let's scale up: AP and Telangana edition
Переглядів 2,4 тис.2 роки тому
Registration link: www.scaler.com/event/let-s-scale-up-telengana-andhra-pradesh/
Live on 21st Aug: Design a Youtube Shorts/Reels/Tiktok feed recommender system
Переглядів 2 тис.2 роки тому
AppliedAICourse.com AppliedRoots.com Scaler.com
Live on 7th Aug: UMAP for visualising high dimensional data
Переглядів 1,6 тис.2 роки тому
AppliedAICourse.com AppliedRoots.com
Live on 17th July: ML System design Interview session
Переглядів 2,5 тис.2 роки тому
Live on 17th July: ML System design Interview session
Live on 2nd July: Interview Session on DL: MLPs
Переглядів 1,6 тис.2 роки тому
Live on 2nd July: Interview Session on DL: MLPs
Coders Offline event in Hyderabad -- by Scaler and AppliedRoots
Переглядів 3,2 тис.2 роки тому
Coders Offline event in Hyderabad by Scaler and AppliedRoots
Live: Recommender Systems Interview Questions Part 2
Переглядів 2 тис.2 роки тому
Live: Recommender Systems Interview Questions Part 2
Live on 29th May: Interview Session on Recommender Systems
Переглядів 1,6 тис.2 роки тому
Live on 29th May: Interview Session on Recommender Systems
Live on 22nd May: Interview questions on Clustering
Переглядів 2,5 тис.2 роки тому
Live on 22nd May: Interview questions on Clustering
Live on 15th May: Statistical Tests--Part 3
Переглядів 1,8 тис.2 роки тому
Live on 15th May: Statistical Tests Part 3
Live on 1st May: Statistical Tests: Part 2
Переглядів 2,5 тис.2 роки тому
Live on 1st May: Statistical Tests: Part 2
Instructor Led Data Science & Machine Learning Program @ Scaler
Переглядів 40 тис.2 роки тому
Instructor Led Data Science & Machine Learning Program @ Scaler
Live on 27th March: Which ML/DL technique to use where?
Переглядів 3,1 тис.2 роки тому
Live on 27th March: Which ML/DL technique to use where?
Live: Interactive Interview Session on NLP (Classical to SOTA)
Переглядів 4,4 тис.2 роки тому
Live: Interactive Interview Session on NLP (Classical to SOTA)
ML System Design For a Product Search Engine | Live Session | Applied AI Course
Переглядів 5 тис.2 роки тому
ML System Design For a Product Search Engine | Live Session | Applied AI Course
For The Existing Students of Applied AI Course | Applied Ai Course Review
Переглядів 15 тис.2 роки тому
For The Existing Students of Applied AI Course | Applied Ai Course Review
Big Announcement from Applied Roots | Applied Roots Family | Applied Ai Course
Переглядів 23 тис.2 роки тому
Big Announcement from Applied Roots | Applied Roots Family | Applied Ai Course
Great Explanation...
Is this course & field recommended for those who are from Non Maths background ?? Please suggest.
Yes I am also unable to access the link. Please provide the google drive link
I am unable to access the drive link
When Shrikant Sir is teaching , just listen carefully and see the magic happen....
VERY WELL EXPLAINED THANKYOU
Which software are you using to write??
sooper
How many projects should be there in resume for ML?
Atleast 50 😂
@@ashutoshshukla19_06_ 😂🙂
Don’t use pandas for any regular sized data. It. Relies completely on local RAM. It’s shit
Bro 😂 you don’t need to waste half the video explaining dumb shit like what a csv file is. No noob is coming to this video for any reason. No one status their dev career with ML and just expects you to teach them what a puppy dog is. 🤦
thank you for explaining mister, very much appreciated.
I don't know if your are still active if so please more on linear algebra for AI in general, I realy find you the most adequate one to explain gilbert strang book on linear algebra big project yes bet you are excellent not every one is good in teaching but you are really one of the best thank you
Bro he is Shrikant Verma he is data scientist at Microsoft he is also teacher at scaler academy, to access his free courses you can checkout scaler topics there you will get his free courses like DBMS , SQL and all ...search on Google or any browser..
Inspirational
Congratulations
Good morning Sir, Can you please suggest one best problem oriented book for this subject.
nice explanation and introductory
Nice explanation, thank youu
great video
thank you
it just looked like an advertisement for t-sne , not an explanation
Tiger Analytics is just a consulting company. But, it's not a great company to work.
For tiger analytics online assessment if you are able to solve bit of code but u dont manage to clear any test cases is it considered fail, sir and whats the cut off they keep
Great Explanation. At time stamp 6.30 you mentioned that there are 28 rows and 28 columns. But if we count it's 14x14. Am I missing something here? I would also like to understand how the values are assigned to the grey pixels?
I also cracked Senior Analyst position and got the offer from TA.
How much did they offer
@@alishakatyayani7910 good hike
God bless you
ur handwriting is nice
excellent
Very good
Tq for upolading this vedio
Actually they are taking money by giving fake job guarantee or refund assurance. I have completed this course and they didn't bring any suitable company where I can apply with my profile. Then I asked for refund and they denied. Also, I came to know those who applied to companies through them also didn't get job or refund. I think initially they secured job to some of the candidates and thereby got publicity and later they cheated us. I am not regretting for the course fee but getting annoyed with the way they violated their terms and conditions.
saves my ass for exams!
Very good explanation!
that was gold
Thanks sir , i am so confused... i doesn't known where to start but this vedio really help me ones again thank you so much ❤️
9:32 fuck
The reason why the 2 plots (your plot and the one from scikit-learn library) are not the same is that you are not reversing the vectors array along the columns (vectors = vectors[:, ::-1]), since eigh() is returning the vectors on ascending order and you need them on descending order.
9:06 here the vector is n dimensional array or n length array
Sir, you explained what I didn't understand before. Thank you!
Good video thanks. How would the formula change if w does not cross origin? If the hyperplane has an offset from origin?
It was an amazing interview and big big congratulations to you. Keep growing.
Thanks Ritu!
Hi, cool stuff kindly share the file with us...
there is no need of proof, because its a direct single line statement. d = projection of P on the vector w P . W d = ----- ||W|| W |--------------* P | | d| | | |d |_________|_______________ (0,0)
cool
may i know what course did he take
clarity of concepts and simple explanations...Thank you very much sir
I've been programming for ~20 years. My math is weak. I feel 'safer' with this guy's persona. I'll try it.
Some claim that perplexity is not a very reliable hyper parameter.
Hi everyone it's me after almost 2 years I am still in the same company and going strong with values instilled by Verma Sir even gave a in-depth lesson on transformers to an audience of 200 people in office ua-cam.com/video/Y9E3GxwR_5w/v-deo.html&ab_channel=AbhinavSharma
Sir, here is my problem: First, I tried to run the code as it is, and it throwed some error like this: *TypeError: __init__() missing 1 required positional argument: 'scheme'* So then I tried to add another argument "scheme": "http" to the *Elasticsearch* function sir, And now my es.ping() is returning false, what can I do, sir? I even wanted to try https scheme but I don't know the username and password for that.