Search Results - "Natural Language Processing"

Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow. by Ravichandiran, Sudharsan

Table of Contents: “…OpenAI Gym and UniverseDeepMind Lab; RL-Glue; Project Malmo; ViZDoom; Applications of RL; Education; Medicine and healthcare; Manufacturing; Inventory management; Finance; Natural Language Processing and Computer Vision; Summary; Questions; Further reading; Chapter 2: Getting Started with OpenAI and TensorFlow; Setting up your machine; Installing Anaconda; Installing Docker; Installing OpenAI Gym and Universe; Common error fixes; OpenAI Gym; Basic simulations; Training a robot to walk; OpenAI Universe; Building a video game bot; TensorFlow; Variables, constants, and placeholders; Variables.…”
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Hands-On Artificial Intelligence for IoT : Expert Machine Learning and Deep Learning Techniques for Developing Smarter IoT Systems. by Kapoor, Amita

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How to survive a robot invasion : rights, responsibility, and AI by Gunkel, David J.

Table of Contents: “…The New Normal. 3.1. Natural Language Processing ; 3.1.1. The Imitation Game ; 3.1.2. …”
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Computational phraseology

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Social data analytics : collaboration for the enterprise by Krishnan, Krish, Rogers, Shawn P.

Table of Contents: “…Cover; Title Page; Copyright Page; Dedication; Contents; List of figures; Acknowledgments; Preface; Chapter 1 -- A New Universe of Data; Understanding Social Analytic Platforms; Platform Functions; Alerting and Workflow; Collaboration; Integration/Application Programming Interfaces; Natural Language Processing; Platform Analytic Functions; Geospatial Analysis; Sentiment Analysis; Influence Analysis; Machine Data Analysis; Demographic Analysis; Brand Affinity; Text Analytics; Chapter 2 -- Social Analytics in the Enterprise; Summary; Put Employees First; Pilot, Experiment, Learn.…”
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Machine Learning with Swift : Artificial Intelligence for iOS. by Sosnovshchenko, Oleksandr

Table of Contents: “…; Applications of ML; Digital signal processing (DSP); Computer vision; Natural language processing (NLP); Other applications of ML; Using ML to build smarter iOS applications; Getting to know your data; Features; Types of features; Choosing a good set of features; Getting the dataset; Data preprocessing; Choosing a model; Types of ML algorithms; Supervised learning; Unsupervised learning.…”
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Hands-On Artificial Intelligence for Beginners : an Introduction to AI Concepts, Algorithms, and Their Implementation. by Smith, Patrick D.

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Artificial intelligence in healthcare

Table of Contents: “…2.3.3.1 Education and exploration -- 2.3.3.2 Patient experience -- 2.4 Intelligent personal health records -- 2.4.1 Health monitoring and wearables -- 2.4.2 Natural language processing -- 2.4.3 Integration of personal records -- 2.5 Robotics and artificial intelligence-powered devices -- 2.5.1 Minimally invasive surgery -- 2.5.2 Neuroprosthetics -- 2.6 Ambient assisted living -- 2.6.1 Smart home -- 2.6.2 Assistive robots -- 2.6.3 Cognitive assistants -- 2.6.4 Social and emotional stimulation -- 2.7 The artificial intelligence can see you now…”
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Energetics Science and Technology : An Integrated Approach. by Cumming, Adam S.

Table of Contents: “…3.3.1 Hexanitrohexaazaisowurtzitane (HNIW, CL-20) -- 3.3.2 2,4-Dinitroanisole -- 3.3.3 Ammonium nitrate -- 3.4 Physical particle characteristics -- 3.4.1 Crystal size and morphology -- 3.4.2 Crystal quality -- 3.4.3 Cocrystallization -- 3.5 Summary -- Abbreviations -- References -- Chapter 4 Application of machine learning and artificial intelligence methods to energetics science and technology -- 4.1 Introduction -- 4.2 Background -- 4.3 Machine learning for new energetics -- 4.4 Energetics applications of natural language processing…”
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Knowledge-Based Intelligent Information Engineering : KES 2002 Systems and Allied Tecnologies.

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Discourse and Meaning : Papers in Honor of Eva Hajičová

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Machine learning in non-stationary environments : introduction to covariate shift adaptation by Sugiyama, Masashi, 1974-

Table of Contents: “…7.2 Speaker Identification7.3 Natural Language Processing; 7.4 Perceived Age Prediction from Face Images; 7.5 Human Activity Recognition from Accelerometric Data; 7.6 Sample Reuse in Reinforcement Learning; III LEARNING CAUSING COVARIATE SHIFT; 8 Active Learning; 8.1 Preliminaries; 8.2 Population-Based Active Learning Methods; 8.3 Numerical Examples of Population-Based Active Learning Methods; 8.4 Pool-Based Active Learning Methods; 8.5 Numerical Examples of Pool-Based Active Learning Methods; 8.6 Summary and Discussion; 9 Active Learning with Model Selection.…”
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Too big to ignore : the business case for big data by Simon, Phil

Table of Contents: “…Statistical Techniques and MethodsRegression; A/B Testing; Data Visualization; Heat Maps; Time Series Analysis; Automation; Machine Learning and Intelligence; Sensors and Nanotechnology; RFID and NFC; Semantics; Natural Language Processing; Text Analytics; Sentiment Analysis; Big Data and the Gang of Four; Predictive Analytics; Two Key Laws of Big Data; Collaborative Filtering; Limitations of Big Data; Summary; Notes; Chapter 4 Big Data Solutions; Projects, Applications, and Platforms; Hadoop; Other Data Storage Solutions; NoSQL Databases; NewSQL; Columnar Databases.…”
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Creativity and the Agile Mind : a Multi-Disciplinary Study of a Multi-Faceted Phenomenon by Forceville, Ch. (Charles)

Table of Contents: “…What do we mean by 'creativity': Some examplesCognitive mechanisms of creativity; Computational modeling of creativity; Computer-based creativity-support systems; Conclusions and future research; References; 4 Gravital: natural language processing for computer graphics; Introduction; Computer graphics and user interfaces; Graphics Language Processor; Perception; Node-based interface; Acknowledgements; References; 5 Talking Points in Linguistic Creativity; Introduction; Related Work and Ideas; Acquiring Conceptual Talking Points; Building a Slipnet of Talking Points; Empirical Evaluation.…”
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Ressources lexicales : contenu, construction, utilisation, évaluation

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SMS communication : a linguistic approach

Table of Contents: “…SMS Communication; Editorial page ; Title page ; LCC data ; Table of contents; Acknowledgements; Foreword; Introduction; Seek & Hide: Anonymising a French SMS Corpus Using Natural Language Processing Techniques; Introduction; 1. Literature review; 2. …”
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Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention by Isson, Jean Paul, 1971-

Table of Contents: “…Representation Learning or Feature LearningNatural Language Processing; Cognitive Computing/Analytics; Neural Network; The UDA Industry; Uses of UDA; How UDA Works; Why UDA Is the Next Analytical Frontier?…”
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Social Media Data Mining and Analytics. by Szabo, Gabor

Table of Contents: “…Periodicities in Time in User ActivitiesBursty Activities of Individuals; Correlations and Bursts; Reservoir Sampling; Forecasting Metrics in Time; Finding Trends; Finding Seasonality; Forecasting Time Series with ARIMA; The Autoregressive Part ("AR"); The Moving Average Part ("MA"); The Full ARIMA(p, d, q) Model; Summary; Chapter 4 Content: The What of Social Media; Defining Content: Focus on Text and Unstructured Data; Creating Features from Text: The Basics of Natural Language Processing; The Basic Statistics of Term Occurrences in Text; Using Content Features to Identify Topics.…”
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Parallel corpora for contrastive and translation studies : new resources and applications

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Reference : from conventions to pragmatics

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