Harper - Grammarly의 오픈소스 대체제 - 오픈소스 문법 검사기. 유명한 상용 서비스인 Grammarly 대신 사용 가능한 제품 - 누구나 무료로 사용할 수 있으며, 코드와 알고리듬이 투명하게 공개되어 있음 - 영어 텍스트의 문법, 스타일, 맞춤법 문제를 자동으로 감지… https://t.co/dQZIia47X6

Understanding P-Values is essential for improving regression models. In 2 minutes, I'll crush your confusion. Let's go:

#MachineLearning Systems — Principles & Practices of Engineering Artificially Intelligent Systems: https://t.co/5bMmpZx8q9 by @profvjreddi [Download 1660-page PDF] “Open-source textbook focuses on how to design and implement #AI systems effectively” ——— #ML #MLOps #DataScience

"Mathematics for Deep Learning" This FREE book will teach you all essential mathematics behind deep learning.

Sad to hear this! I've been using Pocket for multiple years and have found it extremely helpful for my digital life. What are the alternatives?

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Gemini struggles to get things done nicely, while DeepSeek is overwhelmed with being too busy!

Amazon offering ad tech for other retailers to compete with Criteo, Kevel, etc:

If you want to use AI to build AI, you will need to be up to speed with some basic AI concepts. The best way to do this is through videos and simple tutorials. Here is an excellent set of free gen AI courses you can go through during the weekend!!

My fellow Democrats, I have decided not to accept the nomination and to focus all my energies on my duties as President for the remainder of my term. My very first decision as the party nominee in 2020 was to pick Kamala Harris as my Vice President. And it’s been the best

It took me 5 years to master all 24 of these machine learning concepts. In the next 24 days, I'll teach them to you one by one (with examples of how I've used them in business cases). Here's what's coming: 1. Linear Regression 2. Clustering 3. Decision Tree 4. Neural Networks 5.

𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗱𝗲𝗽𝗹𝗼𝘆 𝘀𝗮𝗳𝗲𝗹𝘆 𝗼𝗻 𝗙𝗿𝗶𝗱𝗮𝘆𝘀? You probably saw the massive outage on Windows systems caused by one CrowdStrike module update. The question is how to prevent these things, and here are some patterns that can help you there. Deployment patterns

Roku today is letting partners across the programmatic ecosystem buy using Roku Exchange, a suite of data and targeting solutions that buyers previously only had access to if they bought Roku inventory directly.

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#solarllm @upstageai Tech report: https://t.co/hvnkfF0en4 We introduce depth up-scaling (DUS), a novel technique to up-scale base LLMs efficiently and effectively in a simple manner. In contrast to mixture-of-experts (MoE), DUS does not require complex changes to train and

This Python library is so powerful! 🔥 Introducing pix2tex! 🚀 Now you can convert images of equations into LaTeX in just 5 lines of code!👇 from PIL import Image from pix2tex.cli import LatexOCR img = Image. open('path/to/image.png') model = LatexOCR() print(model(img))

The course materials for the Machine Learning for Data Science course at @Cornell are available to everyone. ▪️ Lecture slides and code ▪️ Handouts ▪️ Cheatsheets ▪️ Assignments 🔗 https://t.co/woGZIsPBZA

If you are looking for Public Datasets to work on Data Science & Machine Learning. Here are 7 Free Data Sources where you can find one for your next Project: 🧵👇

K-means is an essential algorithm for Data Science and Business. In 4 minutes learn what took me 4 weeks to figure out. Let's dive in. 1. K-means is a popular unsupervised machine learning algorithm used for clustering. It's a core algorithm used for customer segmentation,

What is Mixture-of-Experts (MoE)? MoE is a neural network architecture design that integrates layers of experts/models within the Transformer block. As data flows through the MoE layers, each input token is dynamically routed to a subset of the experts for computation. This