Andrew ng machine learning reddit.
In class, some of my teachers recommand Andrew NG lectures.
Andrew ng machine learning reddit My short-term goal is to become job ready in 6-12 months and my long-term goal is to advance my career toward Machine Learning Engineering. I have recently into ml field learning from the basics. Jan 14, 2019 · Machine Learning (Left) and Deep Learning (Right) Overview. I have came across many old comments in reddit stating that Andrew ng… Andrew Ng's old course was my first introduction to ML and it was phenomenal. With all this knowledge I've decided to start with Machine Learning Specialization by Andrew Ng on Coursera and then after that specialization (that consists of 3 courses), I'll see where to head next. Dec 19, 2024 · Feel free to share any educational resources of machine learning. However I don't feel like I'm learning much and wont be able to implement any of the code from scratch. Although payed exists (the reason why autocorrection didn't help you), it is only correct in: . How to get the most out of Andrew Ng's course 64 votes, 43 comments. The bad news is that the number 1 thing that employers look for while hiring for machine learning roles is some form of prior experience. Nautical context, when it means to paint a surface, or to cover with something like tar or resin in order to make it waterproof or corrosion-resistant. Also, we are a beginner-friendly sub-reddit, so don't be afraid to ask questions! This can include questions that are non-technical, but still highly relevant to learning machine learning such as a systematic approach to a machine learning problem. In light of what was once a free offering that is now paid, I have open sourced my notes and submissions for the lab assignments, in hopes people can follow along with the material. if you want to pursue ML and DL as career you need some basic math stuff like how Like I could prove lots of machine learning convergence theorems using lyapunov functions and whatnot, and I can use a solid mathematical intuition to take stabs at architectural improvements for models, but I couldn't for example tell you the first thing about how to train a model like GPT-3 with billions of neurons and gazillions of weights and biases distributed across many machines. And as far as the assignments are concerned, there's mlcourse. Hi everyone, I recently completed Andrew Ng's three courses in machine learning through Coursera. Hey guys, Just wanted to share that I've completed the "Supervised Machine Learning" course by Andrew Ng on Coursera! I dove into the basics of algorithms and model evaluation tailored for beginners, and I really feel like I've got a solid grasp on the core concepts of ML now. It isvery hard to get a job in machine learning as a fresher. The good news is that it can be prior experience in any subdomain in ML. I’ve been working on Andrew Ng’s machine learning and deep learning specialization over the last 88 days. . You can try to implement algorithm on python rather than matlab. Any advice would greatly help and sorry if this is a repetitive post, I tried looking for any posts on the new 2022 course but couldn't find any. FTFY. Ng has changed countless lives through his work in AI, authoring or co-authoring over 100 research papers in machine learning Otherwise, if you're to audit anyway, there are much better courses one can audit - including Andrew Ng's own (or Anand Avati's) CS229 Stanford class. What I don't like about the Andrew Ng course is that it covers the mechanics of machine learning and not mathematics as such. I had completed Udemy machine learning a-z course and now I wanted to learn more about math behind algorithm and wanted to implement from scratch so I started Machine learning andrew ng course. AI, general partner at AI Fund, chairman and cofounder of Coursera, and an adjunct professor at Stanford University. The deep learning specialization? (conflicted on this one because I think it'd be too soon) Read hands-on machine learning with scikit-learn, keras, and tensorflow. It lead directly to two publications for me (one of which re-used a lot of the code I wrote for the assignments!). As a pioneer both in machine learning and online education, Dr. ai's practical ML course for that, which has much better assignments. The newer course in Python is by all accounts a major improvement, eases into the math a bit more, and covers things missing in the old one, like In class, some of my teachers recommand Andrew NG lectures. You can find them easly on the internet and especially the full course on YT: Machine Learning — Andrew Ng, Stanford University [FULL COURSE] (courses from YT playlist) Some pals of mine have recap all Andrew's courses (from Coursea) on a git which are quite well constructed. the course paid would make . Anyone who’s done Andrew Ng’s ML Specialization and currently Andrew Ng is founder of DeepLearning. I'm currently going through the Machine learning specialisation course and I am up to week 2 on the Advanced Learning Algorithms course. Am I doing something wrong, shall i take another route to machine learning or just drop it? The course "Learning From Data" by Abu-Mostafa is a pretty good but intensive introduction to Machine Learning. To get around the assignments being in Octave though, I suggest taking it along with reading Hands on Machine Learning with Scikit learn, Tensorflow and Keras, part 1 of it is just Machine Learning with some theory explanation and mostly hands on applications with Scikit learn and its contents follow nicely with the course. gylgrphqrwodfekletkdnmsdfxohkfifvqywjqphuvhyarvixqoixks