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所在平台: Udemy |
课程主页: https://www.udemy.com/course/nlp-natural-language-processing/
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课程名称：自然语言处理：构建LLM网络应用程序 RNN与LSTM 课程概述： 本课程专注于自然语言处理（NLP），是人工智能领域的一项引人入胜的研究，涉及许多实用应用，如聊天机器人。掌握NLP被视为想在人工智能行业发展的必要技能。课程内容涵盖了NLP的理论和应用，通过案例研究和代码演示帮助学员深入理解。 课程最近更新： - 2022年11月：更新了RNN和LSTM的视频 - 2023年4月：新增了关于变压器的讲座 - 2023年9月：新增了如何构建LLM网络应用程序的视频讲座 NLP作为计算机科学和人工智能的一个子领域，主要研究计算机与人类（自然）语言之间的交互，利用机器学习算法处理文本和语音。课程将探讨NLP在语音识别、文档摘要、机器翻译、垃圾邮件检测、命名实体识别、问答系统等应用中的重要性。 课程内容包括： 1. NLP介绍： - 什么是NLP - NLP的应用 - NLP面临的挑战 2. NLP中的关键概念： - 句子分割 - 单词标记化 - 词干提取 - 词形归并 - 解析 - 词性标注 - NLP中的歧义 3. NLP实践： - 使用NLTK进行句子与单词标记化 - 噪音去除 - 使用Spacy进行词性标注和依赖解析 - 拼写纠正 - 正则表达式 - 命名实体识别（NER） 4. 案例研究： - 语音识别 - 情感分析 - 词云 - 垃圾邮件检测 此外，课程提供技术内容支持，并设有问答论坛和学生聊天频道，学员可以与其他同学协作项目或寻求教师及助教的帮助。课程还提供30天无条件退款保证，让学员可以无风险尝试。成为自然语言处理领域的专家，今天就开始吧！
Recent Updates:Nov 2022: Updated videos for RNN and LSTMApr 2023: Added a video lecture on transformersSep 2023: Added a video lecture on how to build an LLM web applicationNatural Language Processing (NLP) is a very interesting field associated with AI and is at the forefront of many useful applications like a chatbot. Knowledge of NLP is considered a necessity for those pursuing a career in AI. This course covers both the theory as well as the applications of NLP. Case studies are explained along with a walkthrough of the codes for a better understanding of the subject.A detailed explanation of how to build a web app for NLP using Streamlit is also explained.NLP is a subfield of computer science and artificial intelligence concerned with interactions between computers and human (natural) languages. It is used to apply machine learning algorithms to text and speech.For example, we can use NLP to create systems like speech recognition, document summarization, machine translation, spam detection, named entity recognition, question answering, autocomplete, predictive typing and so on.Nowadays, most of us have smartphones that have speech recognition. These smartphones use NLP to understand what is said. Also, many people use laptops whose operating system has built-in speech recognition.Some Examples:1.CortanaThe Microsoft OS has a virtual assistant called Cortana that can recognize a natural voice. You can use it to set up reminders, open apps, send emails, play games, track flights and packages, check the weather and so on.2.SiriSiri is a virtual assistant of the Apple Inc.'s iOS, watchOS, macOS, HomePod, and tvOS operating systems. Again, you can do a lot of things with voice commands: start a call, text someone, send an email, set a timer, take a picture, open an app, set an alarm, use navigation and so on.In this course we will deal with:a)NLP Introduction:· What is NLP· Applications of NLP· Challenges in NLPb)Key concepts in NLP:· Sentence Segmentation· Word Tokenization· Stemming· Lemmatization· Parsing· POS· Ambiguities in NLPc)NLP in Action· NLTK· Sentence Tokenization· Word Tokenization· Stemming· Lemmatization· Noise Removal· Spacy· Parts of Speech Tagging· Dependency Parsing· Spell Correction· Point of View· Regular Expressions· Flash Text· Named Entity Recognition - NERd)Case studies:· Speech recognition· Sentiment analysis· Word Cloud· Spam detectionYou will not only get fantastic technical content with this course, but you will also get access to both our course-related Question and Answer forums, as well as our live student chat channel, so you can team up with other students for projects, or get help on the course content from myself and the course teaching assistants.All of this comes with a 30-day money back guarantee, so you can try the course risk-free.What are you waiting for? Become an expert in natural language processing today!
