|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/natural-language-processing-with-python-a-complete-guide/
课程评论：没有评论
课程名称：Python自然语言处理：3合1 课程概述： 该课程是关于自然语言处理（NLP）的综合培训，NLP是人工智能的一个重要分支，专门研究人类语言与计算机之间的互动。课程采用独特的视频教学方式，涵盖使用NLTK这一领先的Python平台进行自然语言处理的各个方面。学员将学习从Python库的介绍到在真实案例中应用特定语言学概念的多种主题，旨在通过探索文本数据集来加深理解。 作者介绍： 课程由多位经验丰富的专家授课： - Tyler Edwards是一位高级工程师和软件开发人员，拥有超过十年的经验，致力于在空间、国防和核工业中开发分析工具。他精通多种编程语言，对机器学习、人工智能和商业分析等领域有深入研究，并持有俄亥俄大学的机械工程硕士学位。 - Krishna Bhavsar在自然语言处理、社交媒体分析和文本挖掘方面工作了近十年，参与了多种NLP库的开发，解决了许多与文本分析相关的行业问题，并曾在2010 NAACL发表关于情感分析增强技术的论文。 - Naresh Kumar在财富500强公司拥有超过十年的工作经验，设计、实现并运营非常大规模的互联网应用。他是一位全栈架构师，熟悉电商、医疗、广告等多个领域，同时积极参与开源项目。 - Pratap Dangeti在TCS的研究与创新实验室开发针对结构化数据、图像和文本数据的机器学习与深度学习解决方案，他在分析和数据科学领域积累了丰富的经验，并持有印度理工学院孟买的硕士学位。 报名此课程将使您掌握自然语言处理的基础知识及应用技巧，适合希望提升数据处理及分析技能的学习者。
Natural Language Processing is a part of Artificial Intelligence that deals with the interactions between human (natural) languages and computers. This comprehensive 3-in-1 training course includes unique videos that will teach you various aspects of performing Natural Language Processing with NLTK-the leading Python platform for the task. Go through various topics in Natural Language Processing, ranging from an introduction to the relevant Python libraries to applying specific linguistics concepts while exploring text datasets with the help of real-word examples. About the Author Tyler Edwards is a senior engineer and software developer with over a decade of experience creating analysis tools in the space, defense, and nuclear industries. Tyler is experienced using a variety of programming languages (Python, C++, and more), and his research areas include machine learning, artificial intelligence, engineering analysis, and business analytics. Tyler holds a Master of Science degree in Mechanical Engineering from Ohio University. Looking forward, Tyler hopes to mentor students in applied mathematics, and demonstrate how data collection, analysis, and post-processing can be used to solve difficult problems and improve decision making. Krishna Bhavsar has spent around 10 years working on natural language processing, social media analytics, and text mining. He has worked on many different NLP libraries such as Stanford Core NLP, IBM's System Text and Big Insights, GATE, and NLTK to solve industry problems related to textual analysis. He has also published a paper on sentiment analysis augmentation techniques in 2010 NAACL. Apart from academics, he has a passion for motorcycles and football. In his free time, he likes to travel and explore. Naresh Kumar has more than a decade of professional experience in designing, implementing, and running very-large-scale Internet applications in Fortune Top 500 companies. He is a full-stack architect with hands-on experience in domains such as e-commerce, web hosting, healthcare, big data and analytics, data streaming, advertising, and databases. He believes in open source and contributes to it actively. Naresh keeps himself up-to-date with emerging technologies, from Linux systems internals to frontend technologies. He studied in BITS-Pilani, Rajasthan with dual degree in computer science and economics. Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, in its research and innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. Pratap is an artificial intelligence enthusiast. When not working, he likes to read about Next-gen technologies and innovative methodologies. He is also the author of the book Statistics for Machine Learning by Packt.
