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Sangeetha Venkatesan
Sangeetha Venkatesan

37 Followers

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May 2

SVM — from classification to optimization 🚀

solving the classification starts with understanding the intuition 📝 Support vector machine- We will see the math concepts behind SVM and how solving this would lead to solving optimization problems. Goal: Let's consider the problem of classifying people who get admitted to high-ranked colleges (predict whether or not they get…

Svm Algorithm

11 min read

SVM — from classification to optimization 🚀
SVM — from classification to optimization 🚀
Svm Algorithm

11 min read


Published in

Mindful musings: Reflection on the realization within!

·Feb 13

When creation meets passion, Create your luck!

“showing up” is one created luck that a person can get unexpected experiences just by being there! It could be for a person, place, event, etc I recently came across a podcast by Raj with Sahil Bloom on content creation. I have been following Sahil on LinkedIn and Twitter for…

Passion

7 min read

When creation meets passion, Create your luck!
When creation meets passion, Create your luck!
Passion

7 min read


Published in

LMAO Learning Group

·Jan 25

Implicit vs Explicit Knowledge models

Moving to the scope of Knowledge augmentation from data augmentation methods The technical term for this: Retrieval Augmented Language Models Apart from the problem of fitting a model with the data, there is a problem with fitting the model with the use case! There is an area of Question Answering…

Question Answering

8 min read

Implicit vs Explicit Knowledge models
Implicit vs Explicit Knowledge models
Question Answering

8 min read


Published in

Mindful musings: Reflection on the realization within!

·Jan 18

Unanswered thoughts and words!

If you recollect all the unanswered thoughts and actions in stages of time, you will know that answer is within, but rather we go around to keep searching for! Many times in a day, there are situations where my messages are unanswered, my thoughts are not discussed, and my words…

Life

2 min read

Unanswered thoughts and words!
Unanswered thoughts and words!
Life

2 min read


Jan 13

Unlocking insights, enhancing experiences, hearing the whispering missing knowledge: The NLP advantage

Moving down the scope of scaling, syntax, grammar, data towards reasoning, understanding, resolution of common assumptions! 🧩 Looking into K-Fold cross-validations on a chatbot conversational data and I think the quantifiers we set for Natural Language Understanding might tell there is a problem with the data, but to resolve this…

Nlu

5 min read

Unlocking insights, enhancing experiences, hearing the whispering missing knowledge: The NLP…
Unlocking insights, enhancing experiences, hearing the whispering missing knowledge: The NLP…
Nlu

5 min read


Published in

LMAO Learning Group

·Jan 10

Question Answering — is it different in conversations?

There is more to consider apart from the question asked — intelligence is to perform those possibilities in finite space and finite time. We are in the phase of conversational AI, where we augment the training phrases using Large Language models, and we finetune the synthetic samples using generative or…

Nlu

9 min read

Question Answering — is it different in conversations?
Question Answering — is it different in conversations?
Nlu

9 min read


Dec 27, 2022

Objective-less objective 🧩

Can you think of any instance in your way of problem-solving that's not objective-driven? Sometimes the problem seems very complex in an environment, does our perspective towards the problem change if we end up manipulating the objectives towards the already defined solution in the same environment? Do program and process…

Deep Learning

10 min read

Objective-less objective 🧩
Objective-less objective 🧩
Deep Learning

10 min read


Oct 6, 2022

Decision Tree -decide with Intuition 🚀

Entropy, information gain etc — what it means for the dataset? 😵‍💫 We will take a dataset and analyze the interpretability of the decision behind the classification of a particular target. If you are new to Decision Trees, I have attached the link to my previous work — https://medium.com/@sangeetha-venkatesan/classify-the-main-alligator-behind-the-ml-world-19a968961511 Understanding…

Decision Tree Classifier

8 min read

Decision Tree -decide with Intuition 🚀
Decision Tree -decide with Intuition 🚀
Decision Tree Classifier

8 min read


Sep 22, 2022

Classify — The main alligator behind the ML world 🐉🐲

CLASSIFY after you get CLARIFIED about the data 🚀 The major chunk of problem-solving with machine learning involves understanding how machine learning decisions are made when classifying. (Justifying the predictions that are made 🧠) Classification has diverse applications. One of the most predominant ones in the conversational AI landscape is…

Classifier

7 min read

Classify — The main alligator behind the ML world 🐉🐲
Classify — The main alligator behind the ML world 🐉🐲
Classifier

7 min read


Sep 17, 2022

Dimensionality Reduction 🐊 -> 🦎

As Naval Ravikant says “Everyone should Learn Computers, so you don't get scared when something breaks”. The same thing applies to math and machine learning. Learn the mathematical intuition behind it to some extent so you don't get scared working with the algorithms. 🦹‍♂️ Deciphering the intuition! We could approach…

Pca

6 min read

Dimensionality Reduction 🐊 -> 🦎
Dimensionality Reduction 🐊 -> 🦎
Pca

6 min read

Sangeetha Venkatesan

Sangeetha Venkatesan

37 Followers

NLP Engineer, Language actors talking the stage with large language models!

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