GeeksforGeeks
AlgoExpert.io
LeetCode
Interview Cake
CodingInterview
Codechef
interviewing.io
Daily Coding Problem
Amazon Machine Learning
Apple Machine Learning Journal
Machine Learning Playground
Lobe
Google Cloud Machine Learning
Azure Machine Learning Service
pandora by aTomic Lab
ML5.js
GeeksforGeeks Amazon Machine LearningBased on our record, GeeksforGeeks seems to be a lot more popular than Amazon Machine Learning. While we know about 24 links to GeeksforGeeks, we've tracked only 2 mentions of Amazon Machine Learning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
So I have a dataset from source("https://www.openintro.org/data/R/exam_grades.R"). First column is the year(format YEAR-# ie 2000-1 for year 2000 semster 1), then gender in the second column, then actual exam scores in the following 3 columns, then course grade in the last column. I want to separate the data based on the year and semester. I went looking and the closest thing that would let me do it was slicing. ... Source: over 3 years ago
Geeksforgeeks.org - A famous computer science portal having everything you need for interview preparation. But in my opinion, the code, methods are not too intuitive and simple, their code has some bugs too. For example, consider this problem, http://bit.do/PetrolPump , the solution is not too intuitive. If you see this solution : http://bit.do/LeetcodePetrolPump. Itโs very easy. Thatโs why I recommend leetcode... - Source: dev.to / over 3 years ago
However, how are you getting these links? Because if I go directly to geeksforgeeks.org in Brave Android and then click on any article, it doesn't give me that type of Google URL. Source: over 3 years ago
I would say that just googling/searching on YouTube for a specific topic like recursion, backtracking, binary search tree, etc. Is really good for finding videos and websites that further break down the concepts and teach you tips for how to implement them. geeksforgeeks.org is a really good website that I can think of that helps a lot with understanding the topics in 106B, and general computer science topics and... Source: almost 4 years ago
For practicing algorithms, use any of the freely available websites like https://hackerrank.com https://codechef.com https://projecteuler.net A structured set of practice problems are available at https://www.interviewbit.com/courses/programming/ Avoid https://geeksforgeeks.org because it has a ton of material but very poor quality control. Source: almost 4 years ago
Thereโs also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 4 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 5 years ago
AlgoExpert.io - A better way to prep for tech interviews
Apple Machine Learning Journal - A blog written by Apple engineers
LeetCode - Practice and level up your development skills and prepare for technical interviews.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Interview Cake - Free practice programming interview questions. Interview Cake helps you prep for interviews to land offers at companies like Google and Facebook.
Lobe - Visual tool for building custom deep learning models