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Kotlin is concise, safe, pragmatic, and focused on interoperability with Java code. Natural language processing and deep learning is an important combination.Using word vector representations and embedding layers, you can train recurrent neural networks with outstanding performances in a wide variety of industries. EDHEC - Investment Management with Python and Machine Learning Specialization My research focus right now consists of Recurrent Neural Networks and Natural Language Processing. Online Instructor Regular Expression in Python Reshaping Data with pandas Data Camp 01/2019-Present In this article, we will be looking at GitHub repositories with some interesting and useful natural language processing projects to … Artificial Intelligence has numerous ramifications and of those, Natural Language Processing has been widely popular across various domains. Offered by National Research University Higher School of Economics. The quiz and programming homework is belong to coursera and edx and solutions to me. They are available at http://www.mohamedaly.info/teaching/cmp-462-spring-2013 . I am Rama, a Data Scientist from Mumbai, India. It can be used almost everywhere Java is used today: for server-side development, Android apps, and much more. Data Scientist Fundación Conocimiento Abierto - Buenos Aires, Argentina 01/2019-07/2019 - Analyze data and develop models to generate projects with a social impact involving visualization of data, natural language processing (NLP), and text mining. Feel free to shoot me an email regarding Machine Learning, future of Artificial Intelligence, the latest SpaceX launch, or simply your favorite book. LinkedIn . I have created this page to list out some of my experiments in Natural Language Processing and Computer Vision. Introduction to Natural Language Processing. This technology is one of the most broadly applied areas of machine learning. Hopefully this doesn't come too late. Worked on projects on Text Classification and Sentiment Analysis. This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. During this week’s lessons, you will learn the overall course design, an overview of natural language processing techniques, which are the foundation for all kinds of text-processing applications, the concept of a retrieval model, and the basic idea of the vector space model. I am a sophomore at SRM Institute of Science and Technology currently studying Computer Science with a specialization in Machine Learning. Natural Language Processing, Spring 2018, Yale University course evaluation: 4.4/5.0 Arti cial Intelligence, Fall 2017, Yale University course evaluation: 4.8/5.0 Natural Language Processing, Fall 2016, University of Michigan Natural Language Processing, Coursera Arti cial Intelligence, Winter 2015, University of Michigan As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. Natural Language Processing. Courses. Introduction. coursera: https://www.coursera.org/learn/natural-language-processing Projects. This repository is aimed to help Coursera and edX learners who have difficulties in their learning process. Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. The Kotlin programming language is a modern language that gives you more power for your everyday tasks. 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