data-science VS deeplearning-notes

Look into MIT opencourseware — eg https://ocw.mit.edu/courses/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/. Or try a Google search "site:github.com data analysis full course"; this from OSSU seems good https://github.com/ossu/data-science. There are tons of free CS/data courses out there and there's no need to pay. You can go through the whole undergrad CS curriculum online free. Of all high paying industries, tech is by far the easiest to self-teach for free. You DM if you're not able to find something that works for you and we can discuss.

I would recommend you to check out the Data Scientist study plan made by OSSU (https://github.com/ossu/data-science), it is literally the Data Science career but with free resources, including Coursera courses.

Path to a free self-taught education in Data Science

I'm a CS student from a third world country and I'm really interested in Data Science. Biggest issue is that my univeristy is bullshit. Zero serious work. I'm still taking classes only because of that degree that I can put one day on my CV. Exams are on middle school level and with just a tiny bit of knoweledge you can pass easily. I started learning some coding online from CS50 and I became really interested in Data Science/ML. I was looking for roadmaps and this one looks really good to me to go with. OSSU - DATA SCIENCE

Not a tutor but here’s a good resource to aid you in your journey, best of luck

She can run through this to see if data is the right field for her, before sinking money into it: https://github.com/ossu/data-science

Just to add a resource na u might want to look into. Kumpleto na. https://github.com/ossu/data-science or https://github.com/ossu/computer-science

If you want in-depth understanding then I would recommend you to look for Deep Learning Specialization by Andrew Ng. (Course 4). He explained the LSTM and GRU cells in detail (mathematically). You can also find it on YouTube I guess. Hope it helps.

Best place to get started https://www.coursera.org/specializations/deep-learning

I want to expand on what I learnt theory and practice to be able to complete a project, where I can download a video and run it through my model and it will be able highlight specified items, e.g people trees, cars. Will this course help me get there https://www.coursera.org/specializations/deep-learning

Another one from DeepLearning.ai and this is also the most popular course for Deep Learning and Neural Networks - https://www.coursera.org/specializations/deep-learning

This course is a part of one of the 5 courses in DL specialization: https://www.coursera.org/specializations/deep-learning. I am taking this course on Coursera where I have finished up to week 2. Now I need to practice for it, but I think I can't access assignments as its locked for paid viewers. Can someone share me the resources for practice or any alternatives you found useful?

There is another [course] (https://www.coursera.org/specializations/deep-learning) by deeplearning ai that catched my eye and in review they say its more in detail than tf in practice course.

Deep learning like others said, but I've seen some posts recommending taking an external class, like Andrew Ng's Coursera class https://www.coursera.org/specializations/deep-learning over the GT one. I haven't taken or plan on taking the GT one but some people found it lacking

My recommendations are worth little, I'm just starting through all this stuff myself. I'm currently taking the Deep Learning specialization on Coursera and trying to map out what else I should be doing.