Machine learning specialization reddit Here, you can feel free to ask any question regarding machine learning. Most of them are free. We are reaching out to inform you that a new Machine Learning Specialization by Stanford Online and DeepLearning. See what Reddit thinks about this specialization and how it stacks up against other Coursera offerings. coursera. Even the linear algebra was really bad. Also I have been building a list of AI courses, books and tutorials for developers that might be helpful. And I have no idea which one to take. Deep Learning specialization by deeplearning. org/specializations/machine-learning-introduction. A place for beginners to ask stupid questions and for experts to help them! /r/Machine learning is a great subreddit, but it is for interesting articles and news related to machine learning. Read hands-on machine learning with scikit-learn, keras, and tensorflow. I've researched the courses involved in each track and, thanks to ionic-tonic's excellent course planner , have even charted my preferred course Machine learning is primarily applied statistical methods and that’s where most AI research is at these days. I only heard IBM's courses are more practical rather than theory, other than that no idea. ai. FTFY. I would like to stick to a learning path that ensures I have no learning gaps and makes me job-ready. There are a lot of questions asking what classes one should take if one aims to specialize in machine learning. ai ML specialization that Andrew Ng helped develop is very surface level and you'd miss a ton. AI: Machine Learning Coursera Specialization University of Washington: Machine Learning Coursera Specialization Which of these would be a better course? Deep Learning specialization by deeplearning. Here's my two cents from an industry perspective, having done ML at FAANG for several years, launching one of the top Cloud service ML API's, launching many internal models, failing quite a bit on many other projects, and having already graduated from OMSCS. AI: Machine Learning Coursera Specialization University of Washington: Machine Learning Coursera Specialization Which of these would be a better course? I am looking for my first formal course in machine learning and currently trying to decide between these two popular alternatives: Stanford/DeepLearning. You take take all the individual courses in the Coursera specialization for free, then if you want the specialization certificate you can pay later. 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. I am looking for my first formal course in machine learning and currently trying to decide between these two popular alternatives: Stanford/DeepLearning. So, I'm learning ML specialization from deeplearning. For anyone who started learning ML with Andrew Ng’s ML Specialization course and now has a job in ML, what did your path look like? Want to add to the discussion? Post a comment! Use of this site constitutes acceptance of our User Agreement and Privacy Policy. A subreddit dedicated for learning machine learning. His original two courses in Matlab and Python are much, much better and the hype is warranted for them. So if you want to excel as a data scientist or AI professional in industry, you are going to have to compete with quants. I know the required Mathematics Pre-Requisites, since I studied 3 courses on Engineering Mathematics and Applied Numerical Techniques during my Bachelor in Mechanical Engineering. © 2025 reddit inc. so my question is for folks who have gone through the crouse does this course really give hand on pratice and if you know any materials ro refer for improving my practical learning is much appreciated. Although payed exists (the reason why autocorrection didn't help you), it is only correct in: . First IBM's data science specialization, second IBM's machine learning specialization and last Andrew NG's deep learning specialization. Dec 19, 2024 · The deeplearning. #39 in Best of Coursera: Reddsera has aggregated all Reddit submissions and comments that mention Coursera's "Machine Learning" specialization from University of Washington. Reviews on (Mathematics for Machine Learning and Data Science Specialization) by DeepLearning. Thanks in advance. the course paid would make . All rights reserved. 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. . Edit: My end goal for ML is not very clear if I'm honest. r/learnmachinelearning • If you are looking for free courses about AI, LLMs, CV, or NLP, I created the repository with links to resources that I found super high quality and helpful. Feel free to share any educational resources of machine learning. I get the impression that the Machine Learning Specialization by Andrew Ng is more "elementary", and since I've already employed things like regression professionally and even had my own project in Keras, would I perhaps benefit more from the Deep Learning course which states to be "intermediate"? After finishing it I have got 3 courses that I couldn't decide which to take. Please note that we are no longer accepting new enrollments in the Machine Learning course. AI Discussion So I'm currently doing this Specialization primarily for Linear Algebra and I wanted to ask is it worth it to continue and how much of deep knowledge I'll gain from it? I am thrilled to embark on my journey at Georgia Tech's OMSCS program this upcoming semester, but I find myself torn between two captivating specializations: Machine Learning and Computing Systems. ai is now available: https://www. zfnp olhly mboxwsc kwn qplkd fzr qhlea eifubv gdstfx bvkhs

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