Machine Learning 1 : 1 Sessions

1

Description

⤴️ Update

It's almost summer! I'm currently doing PhD level coursework on ML.

If you're looking for a side-project because your schedule's a bit quieter, and have been interested in machine learning / AI - this is good timing!

I'm looking to help one or two people gain knowledge in this subject matter.

It's okay if you're not in a technical field, e.g., software engineering; I can help and break down mathematical concepts that are easy to digest.

Someone who is willing to learn, intrigued by how things work, put in some effort and adopt a critical thinking approach will benefit a lot. Especially if you have considered a career direction towards AI related work in the near future.

Googling can take you far, but structure and guidance from someone who can walk you through in person will expedite learning difficult theorical concepts heavy in algebra, statistics, probability and calculus.

So send me a message. I'm a Bunz transaction newbie here. Please be gentle.

When messaging, send me a few topics found below that you want to know more about as a conversation starter

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Topics in Machine Learning:

01 ⋯ Introduction to Machine Learning

02 ⋯ Advanced Automatic Differentiation

03 ⋯ Neural Net Optimization

04 ⋯ Probabilistic Modeling

05 ⋯ Stochastic Variations

06 ⋯ Probabilistic Inference

07 ⋯ Reinforcement Learning

08 ⋯ Regularization

09 ⋯ Latent variable analysis

10 ⋯ Machine Learning in Finance

11 ⋯ Topics of Deep Learning

12 ⋯ Unsupervised Learning

13 ⋯ Adversarial Robustness

14 ⋯ Non-convex Optimization

15 ⋯ Machine Learning in Health

16 ⋯ Statistical Learning

17 ⋯ Statistical Compressibility

18 ⋯ Generative Models

19 ⋯ Generalization Optimization

20 ⋯ Supervised Learning

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Not all, but some things you'll be able to take away after our sessions together:

🆚 differentiate between learning models, optimization methods and algorithm types

🛠 know the disadvantages / advantages of machine learning

🏭 be able to conceptually guess which types of algorithms were used to model some features like face recognition or emotional likihood of a situation

🧲 open doors to opportunities in a different or new industry that you've always wanted to go into because of what you now know

🏗 help build an augmented version of the future that brings meaning to everyday relationships, human connections, close by, afar, or in bytes

・・・・・・・・・・・・・・・・・・・・・

𐄙 DM for more details

𐄙 And hell yes, I am doing this for free

𐄙 🍕First come / confirmation basis

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