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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-nlp-with-nltk-and-scikit-learn/
课程评论：没有评论
课程名称：手把手教你用NLTK和Scikit-learn进行自然语言处理（NLP） 课程概述：如今，网络上充斥着大量的文本数据。作为一名Python开发者，您需要为下一个项目创建一个使用自然语言处理的新解决方案。同事们依赖您将几GB的非结构化文本数据转化为可盈利的信息。手把手教你用NLTK和Scikit-learn进行自然语言处理（NLP）正是您的答案。该课程从构建一个垃圾邮件分类器开始，在课程结束时，您将掌握三个NLP应用：垃圾邮件过滤器、主题分类器和情感分析器。课程内容以简单易懂的英语解释核心的NLP概念，并展示如何使用Python库进行实际应用，而无需复杂的数学理论。 通过参加本课程，您将能够用Python和NLP精确地构建新应用，轻松实现基于机器学习和NLP处理模型的实际解决方案。本课程采用Python 3.6、TensorFlow 1.4、NLTK 2和scikit-learn 0.19，尽管这些不是最新版本，但为使用NLTK和Scikit-learn的传统用户提供了相关且实用的内容。 关于作者：Colibri Ltd是一家成立于2015年的技术咨询公司，由James Cross和Ingrid Funie创立。该公司专注于帮助客户应对快速变化和复杂的新兴技术，尤其在大数据、数据科学、机器学习和云计算等领域具有深厚的专业知识。近年来，他们与一些全球最大的公司合作，帮助这些公司更好地理解和处理数据，秉承“数据->智能->行动”的理念。 Rudy Lai是QuantCopy的创始人，这是一家利用AI撰写销售邮件的销售加速初创公司。在创办QuantCopy之前，Rudy曾在HighDimension.IO担任机器学习咨询公司合伙人，并有超过5年在领先投资银行（如摩根士丹利）进行量化交易的经历。这段宝贵经历让他深刻体会到数据的力量及其在自动化中的潜在风险。他毕业于伦敦帝国学院，获得计算机科学学位，并曾入选院长名单，获得德意志银行人工智能奖等。
There is an overflow of text data online nowadays. As a Python developer, you need to create a new solution using Natural Language Processing for your next project. Your colleagues depend on you to monetize gigabytes of unstructured text data. What do you do?Hands-on NLP with NLTK and scikit-learn is the answer. This course puts you right on the spot, starting off with building a spam classifier in our first video. At the end of the course, you are going to walk away with three NLP applications: a spam filter, a topic classifier, and a sentiment analyzer. There is no need for fancy mathematical theory, just plain English explanations of core NLP concepts and how to apply those using Python libraries.Taking this course will help you to precisely create new applications with Python and NLP. You will be able to build actual solutions backed by machine learning and NLP processing models with ease.This course uses Python 3.6, TensorFlow 1.4, NLTK 2, and scikit-learn 0.19, while not the latest version available, it provides relevant and informative content for legacy users of NLP with NLTK and Scikit-learn.About the AuthorColibri Ltd is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World's most popular soft drinks companies, helping each of them to make better sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance-key analytics that all feedback into how our AI generates content.Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced first-hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with High Dimension. IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which to learn deeply about reinforcement learning and supervised learning topics in a commercial setting.Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.
