Word Count Tools
WordCounter.net
Word Counter
TextPipe
NimbleText
Heytools
CountOfWords.com
Count Wordsworth
Apple Machine Learning Journal
Amazon Machine Learning
Machine Learning Playground
Lobe
A.I. Experiments by Google
ML5.js
mlblocks
ML Showcase
Word Count Tools might be a bit more popular than Apple Machine Learning Journal. We know about 7 links to it since March 2021 and only 6 links to Apple Machine Learning Journal. 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.
I always try to use all 140 characters in my titles and 20 for tags. Here’s a nifty little counter I keep handy. https://charactercounttool.com. Source: about 1 year ago
Each story must be at least 500 words long and ideally should fall under the 40,000 character limit, including spaces. This tool is one I recommend for checking that you fall in the appropriate limit, but feel free to pick one of your choosing. Source: over 1 year ago
I used the very helpful CharacterCounterTool website to copy and paste the text to count them. Once I noticed the pattern it was very easy to find everything that was fitting that pattern and I'm going to dig deeper and see if I can find other instances. Source: almost 2 years ago
WordCounter and CharacterCountTool are your best friends. Source: about 2 years ago
5,868 Characters (without spaces); 1,256 words, high-school reading level (Source). Source: over 2 years ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
WordCounter.net - Count words, sentences, paragraphs etc.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Word Counter - A simple, beautiful word and character counter
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
TextPipe - Search and Replace, Find and Replace, Web Sites, Database Extracts, XML, CSV, Tab, mainframe COBOL data and more
Lobe - Visual tool for building custom deep learning models
