A Machine Learning roadmap (the one I recommend to my students)

The books I shared in the video:
* Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: amzn.to/4b2bMBj
* Deep Learning with Python: amzn.to/3Xifh3x
* Machine Learning with PyTorch and Scikit-Learn: amzn.to/3VyTXpb
* Generative AI with LangChain: amzn.to/3KBQCzj
I teach a live, interactive program that'll help you build production-ready Machine Learning systems from the ground up. Check it out here:
www.ml.school
To keep up with my content:
• Twitter/X: / svpino
• LinkedIn: / svpino
🔔 Subscribe for more stories: / @underfitted

[@tanbir2358]

00:02 Start by learning Python for AI
02:12 Start with Python as a foundation for machine learning
04:20 Progression path in Machine Learning
06:36 Top universities are publishing deep learning and machine learning classes for free on RUclips
08:56 Two recommended books for learning machine learning and deep learning
11:13 Utilize front-end libraries for easier back-end integration
13:24 Distinction between AI and Machine Learning
15:36 Learning machine learning by solving problems is essential
17:41 Share what you learn to enhance learning process
19:44 Machine learning journey is a marathon

[@mslinklater]

Great video. Thank you.

[@inhocsignovinces8061]

Great advice.

[@DarkRaviForDeath]

Can you make a video on how to actually get a job once you've learned the skills. Maybe include bonus tips for those not in the US (I'm in Canada, not a ton of opportunities to even go after in general)

[@Songfugel]

Almost ALL industries all over the world are desperately looking for ML integration specialists than can integrate ML to boost their productivity

[@DarkRaviForDeath]

@@Songfugel where are they then, I'll apply

[@josefdc]

thanks for sharing this 🤗

[@i_youtube_]

Good start. All what he mentioned will make you a beginner. ML takes years to become an engineer in this field.

[@JR-gy1lh]

Santiagos suggestions are great but I agree!

[@audioreworkvisions]

Danke Dir Von Herzen

[@kannansingaravelu]

what is the macbook specs / config you recommend for ML & LLMs. Could you share system specs?

[@Onkar-ui3jo]

Should ML Engineer must know CUDA and C++?

[@underfitted]

No

[@gloriousgearhead5367]

What books do you recommend to get started with NLP?

[@NcFightoBoy]

Much appreciated video.My question is what about panda,numpy,matplotlib and feature engineering,when should we learn it.
Second about maths,do we have learnt college math courses(algebra, statistics,calculas) before taking specialisation in machine learning course?
Thanx❤

[@muhammadhilal5807]

Hey there, the last book "Generative AI with LangChain" that you mentioned really cleared what I want. Thank you.

[@abhis1560]

Hi, does your material also covers the basic maths required for data science? If not can you make separate video on mathematical basics to learn ml and ai ?

[@gamalahmed4562]

i can't explain the amount of benefits i gained after watching this video ! 🖤

[@charith493-4]

Thank you for sharing these with us ❤

[@TooyAshy-100]

Thank you,,,

[@AhmedRehan-fz1eq]

Sir , you are gem of a person and teacher . More power to you .

[@Songfugel]

Only the topmost level of ML is done in python, all the actual ML "work" is done with C and python's C libraries. This is a pretty important point to understand

[@underfitted]

There's no such a thing as "actual ML work." All work is equally valuable, regardless of where in the stack that work exists.

[@Songfugel]

@@underfitted Wow, that is a pretty epic failure in reading understanding. What I meant with actual ML "work" being done by the python code, is actually done by C libraries that the Python calls, not the insanely slow, unsafe and simplistic Python code itself
Also, all work being equally valuable is insanely naive take

[@tupoiu]

@@Songfugel strange comment... clearly there is huge amount of value in integrating ML (otherwise people wouldn't care so much about writing Torch, XLA, etc. to begin with).

[@Songfugel]

@@tupoiu I don't see how your reply has anything to do with my comment. I have not claimed anything like that, just pointed out that the ML libraries and functions that Python uses are actually C code that python just calls

[@JonathanLoscalzo]

​@@SongfugelBut are people need to learn c or c++ to work in ML? I guess no. It is like many libs are in rust now (like hf tokenizer) due to its speed and you don't need rust. Are you going to learn golang because kubernetes or docker is in docker? No.