Is NLP a machine learning? Is coding required for NLP?About the Author Arya Senior Research Analyst As a Senior Research Analyst, Arya Karn brings expertise in crafting compelling technical content in Data Science and Machine Learning. With extensive knowledge in AI/ML, NLP, DBMS, and Generativ...
•Everything you need to prepare for your technical interview Github •Materials to help you rock your next coding interview Github 机器学习 1. 面试问题 •机器学习面试算法梳理 Blog •面试官如何判断面试者的机器学习水平 zhihu •machine-learning-interview-questions Github •机器学习与深度学习...
•Everything you need to prepare for your technical interview Github •Materials to help you rock your next coding interview Github 机器学习 1. 面试问题 •机器学习面试算法梳理 Blog •面试官如何判断面试者的机器学习水平 zhihu •machine-learning-interview-questions Github •机器学习与深度学习...
Many of the insights from DeepSeek’s paper involve saving hardware costs. On a couple of big dimensions of scaling, DeepSeek’s techniques are able to reduce costs. In the short-term, everyone will be driven to think about how to make AI more efficient. In the long...
self-attention 长怎么样? self-attention 如何解决长距离依赖问题? self-attention 如何并行化? multi-head attention 怎么解? 为什么要 加入 position embedding ? 为什么要 加入 残差模块? Layer normalization。Normalization 是什么? 什么是 Mask? Transformer 存在问题? Transformer 怎么 Coding?transformer 改进篇【...
16. Computer assisted coding (CAC) Computer Assisted Coding (CAC) tools are a type of software that screens medical documentation and produces medical codes for specific phrases and terminologies within the document. NLP-based CACs screen can analyze and interpret unstructured healthcare data to extra...
作者:杨夕 项目地址:https://github.com/km1994/nlp_paper_study 个人介绍:大佬们好,我叫杨夕,该项目主要是本人在研读顶会论文和复现经典论文过程中,所见、所思、所想、所闻,可能存在一些理解错误,希望大佬们多多指正。 NLP 面经地址:https://github.com/km1994/NLP-Interview-Notes...
导读:2019年是自然语言处理(NLP)领域令人印象深刻的一年。在这份报告中,我想重点介绍一些我在2019年遇到的关于机器学习和NLP的最重要的故事。我将主要关注NLP,但我也会强调一些与AI相关的有趣故事。标题没有特定的顺序。故事可以包括出版物、工程成果、年度报告、教育资源的发布等。
Hands-on Coding Skills: You will become proficient in Python for data science and machine learning, with an emphasis on libraries like Scikit-Learn, Pandas, and NumPy. Model Building and Evaluation: This course will teach you how to build, trai...
Input: Math/coding problems Output: Verified answers However, unlike other supervised learning, RL requires the model to learn the reasoning process leading to answers. Critically, the intermediate steps lack human annotations or feedback. Instead, the system autonomously generates these reasoning data,...