Https://see.stanford.edu/Course/CS229 Https://lightning.ai/ Https://www.youtube.com/watch?v=00s9ireCnCw&t=57s Https://towardsdatascience.com/. Source: 5 months ago
I found that I like reading https://towardsdatascience.com/ a lot. Do you know of other great blogs dedicated for AI/ML developers? What are your favorites? Should be highly technically, and not about "I built a wrapper around ChatGPT, now call me AI master" kinda content. - Source: Hacker News / 7 months ago
You could ask ChatGPT or find something that interests you on towardsdatascience.com and adapt it. Source: 12 months ago
Towards Data Science (https://towardsdatascience.com/). Source: about 1 year ago
I also recommend towardsdatascience.com. I pay for the subscription. It's a blog site where fellow data scientists post what they've been working on and new technologies. This will be very useful when it comes time to building a portfolio as you can literally just adapt what other people have done (e.g. Use a different dataset for the same problem). Source: about 1 year ago
Actually R has a lot of in built data sets just for training purposes. If your fine with just using R functions and not dive to deeply into the theory I think it's fine to simply use them. E.g. data(mpg) is quite good for simple regression (package: tidyverse). Or data(iris) if you want to do clustering/classification (package: base). Otherwise I have found the (short) articles on towardsdatascience quite... Source: about 1 year ago
I get your point though, but with how the courses are set up there is really no need to study at all. My first class was multiple choice test I studied for, every thing else was performance assessments. I'm already proficient in python and sql from work, so it was just a matter of looking up an example of how/when to use certain libraries and I jumped straight into the assessment part (medium.com and... Source: about 1 year ago
If not, do you know any trading platforms that allow it? (I saw some discussion about Ally on towardsdatascience.com but I am not sure whether it still gives what I want). Source: over 1 year ago
I also really like the Towards Data Science blog, which sometimes has GIS-specific articles but in general is really interesting. Source: over 1 year ago
Towardsdatascience.com is a great resource. Things like this (again, soccer, but just as an example) are really good for trying to thing in modeling terms. Don't be scared off by math formulas that are all letters. The good articles make it easy enough to understand and you'll learn bit by bit. When you begin to model sports for betting purposes, you are teaching yourself to become a data scientist. So that's... Source: over 1 year ago
According to https://towardsdatascience.com/: From out of 208 songs recorded by the Beatles, 71 were written mostly by John, 68 mostly by Paul, 22 by George, 21 were cover songs from their early days, 16 John+Paul songs (songs in which they contributed equally), and 10 that were sung by Ringo, out of which 2 he wrote himself. Source: over 1 year ago
Towards data science . This site is good. But there is limitation on the number of articles you can read in a month without paying money. Source: over 1 year ago
Is Towards Data Science a good source to learn? Source: over 1 year ago
TowardsDataScience. This provides simple overviews (admittedly too simple, sometimes) of data science concepts. Source: over 1 year ago
Otherwise check websites, blogs and YouTube channels like: * https://machinelearningmastery.com * https://towardsdatascience.com/ * https://medium.com/tag/data-science * https://www.kdnuggets.com * https://stackoverflow.com * https://statquest.org (Josh’s videos are a good starting point). Source: over 1 year ago
In addition, the ease of publishing on Medium has also increased. There are a few publications on Medium, like TowardsDataScience, where you need to be invited by an editor to post on their platform. However, there are loads of publications where anyone can create an account and start publishing articles. This has led to a lot of people posting content that is not well thought out or well written. - Source: dev.to / over 1 year ago
Expand your knowledge and expertise in data science with towards data science blogs: https://towardsdatascience.com/. Source: almost 2 years ago
For me, a combination of books, interactive courses from Udacity and Udemy, and articles on towardsdatascience.com works best. Source: almost 2 years ago
Https://machinelearningmastery.com/, https://www.geeksforgeeks.org/, https://towardsdatascience.com/ can be useful, the first one specially. Source: almost 2 years ago
The other resource I could suggest is Towards Data Science site. I recommend using Google search for easier finding, e.g. Search "site:towardsdatascience.com Reinforcement Learning". Source: almost 2 years ago
Towards Data Science (derived from Medium) is the go to place to upload your data science articles. These articles need to be an analysis of your project, why you used specific models over others, your findings, and more. - Source: dev.to / almost 2 years ago
Do you know an article comparing Towardsdatascience to other products?
Suggest a link to a post with product alternatives.
This is an informative page about Towardsdatascience. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.