Study popular English synonyms and antonyms to enrich your vocabulary and start speaking fluently now. Learn new words from Flashcards, Lists, or offline from printable PDFs.
✅ 1000+ most popular English words to study ✅ Flashcards ✅ Printable PDF for offline learning
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LanguageBeast.com's answer
LanguageBeast focus strictly on learning vocabulary with synonyms, antonyms and examples to express yourself more fluently and accurately like a native speaker.
LanguageBeast.com's answer
Most learning apps for English focus on basic vocabulary and repetitive words, trapping you within its gamification systems, daily progress charts, resulting in no progress.
LanguageBeast is here to change that and to improve your vocabulary through learning most common English words and their alternatives with examples to enrich your words dictionary!
LanguageBeast.com's answer
Non-native English learners and people who want to improve the English vocabulary and speak more fluently.
LanguageBeast.com's answer
As a non-native English, I lacked the vocabulary to express myself fluently. I was using only basic, common words I learned in school 🥱 I wanted to change that, so I've built the LanguageBeast.
LanguageBeast.com's answer
NextJS, ShadcnUI, Vercel, ReactJS
Based on our record, Taste seems to be more popular. It has been mentiond 4 times since March 2021. 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.
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: about 2 years ago
On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 2 years ago
It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 3 years ago
I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 3 years ago
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