Un día hipotético

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This document contains 8 photo credits from various photographers including Hernan Piñera, Gustavo Fernando Durán, Mário Tomé, Angel mat-eye, Fundación Cerezales Antonino y Cinia, SantiFranco, raindog, and Oneras. It encourages the reader to get started creating their own Haiku Deck presentation on SlideShare.

Photo by Fundación Cerezales Antonino y Cinia

Weave-D is a cognitive system that accumulates and fuses temporal, multi-modal data in an organized manner. It extracts features from images and text, learns incrementally using the IKASL algorithm, and generates links between data. The system aims to handle large amounts of information and prevent catastrophic interference during incremental learning. It will extract color, edge, and shape features from images and use text feature extraction techniques. Unsupervised learning algorithms like SOM, GSOM, and IKASL will be implemented and visualized.

Global Messaging Trends 2 - When are chatbots actually useful?

Andrew Schorr

Text to Speech for Mobile Voice

June Hostetter

Nlp

Nishanthini Mary

The document discusses natural language and natural language processing (NLP). It defines natural language as languages used for everyday communication like English, Japanese, and Swahili. NLP is concerned with enabling computers to understand and interpret natural languages. The summary explains that NLP involves morphological, syntactic, semantic, and pragmatic analysis of text to extract meaning and understand context. The goal of NLP is to allow humans to communicate with computers using their own language.

Strengthening the Institutional Capacity of the PVTD within the Vocational T...

Timo Rainio

This document outlines a workshop held from August 16-22, 2014 to develop 21st century learning showcases. Each day focused on a different aspect of showcase development: elements of learning environments, organizational processes, and communication/marketing. Workshop activities included showcase presentations by participating technical colleges, workshops using the Business Model Canvas tool to model showcase customer segments, value propositions, and other elements. Participants also prepared "NABC sales pitches" to outline needs, approaches, benefits and competition. The goal was for technical college teams to develop initial proposals and next steps to advance their learning showcase concepts within their organizations and for key stakeholders.

The document discusses virtual learning environments (VLEs) and their functions. A VLE is any electronic space where learning can occur via the internet. Examples include allowing file sharing, electronic communication through email and discussions, personal organization tools, acting as a school portal, and hosting e-learning content. The VLE used by St Ivo school is called DigitalBrain. It functions include file sharing, communication, organization, acting as a school portal, hosting content, and allowing teachers to set assignments and activities for students.

Finance bots - The move toward conversational finance

Organic, Inc

Machine Learning in NLP

Vijay Ganti

Minds Lab Contact_Center_Solution_Using_ai_v1.0

Eunjee Lee

Introduction to natural language processing

Minh Pham

This document provides an introduction to natural language processing (NLP). It discusses what NLP is, why NLP is a difficult problem, the history of NLP, fundamental NLP tasks like word segmentation, part-of-speech tagging, syntactic analysis and semantic analysis, and applications of NLP like information retrieval, question answering, text summarization and machine translation. The document aims to give readers an overview of the key concepts and challenges in the field of natural language processing.

NLP & Machine Learning - An Introductory Talk

Vijay Ganti

Natural Language Processing and Machine Learning

Karthik Sankar

The document provides an introduction to natural language processing and machine learning. It discusses how NLP is concerned with interactions between computers and human languages. It describes the categories of NLP including phonology, morphology, syntax and semantics. It also discusses machine learning approaches like supervised and unsupervised learning, and symbolic learning frameworks involving concept spaces, operations and heuristic search.

Natural Language Processing in Alternative and Augmentative Communication

Divya Sugumar

The document discusses natural language processing (NLP) and its role in augmentative and alternative communication (AAC). It covers the basics of NLP including its goals, levels of processing, approaches, and stages. It then discusses AAC, which aims to help people communicate who cannot use speech or writing. The role of NLP in AAC is to enhance communication rates without limiting expression capabilities, such as through improving context understanding and prediction technologies. Incorporating NLP into AAC systems can make them more flexible, expressive, and ensure clear information transfer for users.

The Rise of Chatbots in 2016

Organic, Inc

NLP for business analysts

David Morris, MBA

NLP for Business Analysts is a presentation about how Natural Language Processing (NLP) techniques can help business analysts (BAs) be more successful in their work. NLP is the study of how language affects our thinking and behavior. It involves modeling patterns of success and applying skills like rapport building, goal setting, and reframing problems. The presentation teaches exercises for improving communication, flexibility, and understanding different perspectives through NLP concepts and techniques.

Machine Learning for NLP

butest

This document discusses machine learning algorithms for natural language processing (NLP) classification problems. It introduces decision trees as a machine learning algorithm that recursively partitions training data using hierarchical tree structures. Decision trees are learned from labeled training examples using a top-down induction approach where the training data is recursively split based on feature tests until some stopping criteria is reached. Common algorithms for learning decision trees include ID3, C4.5, and CART.

Dlsu nlp in practice

Allan Tan

The Branch in the Banking Digital Age

GFT

Artificial Intelligence, Machine Learning and Deep Learning

Sujit Pal

Tracxn Research - Chatbots Landscape, February 2017

Tracxn

Slide share version_of_introduction_to_nlp (3)

Gina Pickersgill

The document introduces neuro-linguistic programming (NLP) by defining it as the study of the structure of subjective experience. It explains that NLP stands for neuro, linguistic, and programming, referring to how the mind processes information from the nervous system and language to form patterns of thinking and behavior. The document also outlines some common applications of NLP in areas like business, sports, education, and health, and discusses why NLP is practiced as a useful, easy, and natural way to learn and create change.