Data mining

Automatic summarization

Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different types of data. Text summarization is usually implemented by natural language processing methods, designed to locate the most informative sentences in a given document. On the other hand, visual content can be summarized using computer vision algorithms. Image summarization is the subject of ongoing research; existing approaches typically attempt to display the most representative images from a given image collection, or generate a video that only includes the most important content from the entire collection. Video summarization algorithms identify and extract from the original video content the most important frames (key-frames), and/or the most important video segments (key-shots), normally in a temporally ordered fashion. Video summaries simply retain a carefully selected subset of the original video frames and, therefore, are not identical to the output of video synopsis algorithms, where new video frames are being synthesized based on the original video content. (Wikipedia).

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How to Sum in Excel 2013

Visit us at http://www.statisticshowto.com for more videos and Excel tips.

From playlist Excel for Statistics

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Summary for combining rational expressions

Learn how to add/subtract rational expressions. A rational expression is an expression in the form of a fraction where the numerator and/or the denominator are/is an algebraic expression. When adding or subtracting rational expressions we first obtain the lowest common multiple (LCM) of th

From playlist Add and Subtract Rational Expressions

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Learn to use summation notation for an arithmetic series to find the sum

👉 Learn how to find the partial sum of an arithmetic series. A series is the sum of the terms of a sequence. An arithmetic series is the sum of the terms of an arithmetic sequence. The formula for the sum of n terms of an arithmetic sequence is given by Sn = n/2 [2a + (n - 1)d], where a is

From playlist Series

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Evaluating a rational expression and order of operations

👉 Learn how to evaluate mathematics expressions. A mathematics expression is a finite combination of numbers and symbols formed following a set of operations or rules. To evaluate a mathematics expression means to obtain the solution to the expression given the value(s) of the variable(s)

From playlist Simplify Expressions Using Order of Operations

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Summary Simplifying rational expressions

Learn how to simplify rational expressions. A rational expression is an expression in the form of a fraction where the numerator and/or the denominator are/is an algebraic expression. To simplify a rational expression, we factor completely the numerator and the denominator of the rational

From playlist Simplify Rational Expressions

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Dividing rational expressions

Learn how to divide rational expressions. A rational expression is an expression in the form of a fraction, usually having variable(s) in the denominator. Recall that to divide by a fraction, we multiply by the reciprocal of the fraction. The same rule applies when we want to divide by a r

From playlist How to Divide Rational Expressions #Rational

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Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 15 – Natural Language Generation

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Cfhyya Professor Christopher Manning & PhD Candidate Abigail See, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Sieb

From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019

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TLDR: Extreme Summarization of Scientific Documents

Presented by: Isabel Cachola, PhD Researcher at Johns Hopkins University Scientists are often required to process long lists of papers, such as conference proceedings and search engine results, and information overload is becoming an increasing problem for scientists. Titles often don’t c

From playlist NLP Summit 2021

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O'Reilly Webcast: Pivot Tables in Microsoft Excel

Pivot tables let you put together in seconds data summaries that would take forever to create with Excel formulas. That speed gives you the ability to get answers about your data as quickly as you can think up questions for it. Pivot tables are one of Excel's most versatile features, but t

From playlist O'Reilly Webcasts

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AI Weekly Update #9 October 20th, 2019

3:24 OpenAI Robotic Hand Rubik’s Cube Solver https://openai.com/blog/solving-rubiks-cube/ 11:10 GoogleAI Massively Multilingual, Massive Neural Machine Translation https://ai.googleblog.com/2019/10/exploring-massively-multilingual.html 12:45 GoogleAI Video Architecture Search https://ai.go

From playlist AI Research Weekly Updates

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series of n/2^n as a double summation

We will evaluate the infinite series of n/2^n by using the double summation technique. Thanks to Johannes for the solution. Summation by parts approach by Michael Penn: https://youtu.be/mNIsJ0MgdmU Subscribe for more math for fun videos 👉 https://bit.ly/3o2fMNo 💪 Support this channe

From playlist Sum, math for fun

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Understanding Human-Machine conversation patterns for seniors aging in place | Healthcare NLP Summit

Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all Healthcare NLP Summit 2021 sessions: https://www.nlpsummit.org/ Seniors aging in place present an interestin

From playlist Healthcare NLP Summit 2021

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BottleSum: Unsupervised & Self-supervised Sentence Summarization w/ Information Bottleneck Principle

For slides and more information on the paper, visit https://aisc.ai.science/events/2020-01-22 Discussion lead: Peter West Motivation: The principle of the Information Bottleneck (Tishby et al., 1999) is to produce a summary of information X optimized to predict some other relevant infor

From playlist Natural Language Processing

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Going deeper with dplyr: New features in 0.3 and 0.4 (tutorial)

dplyr is an R package for data manipulation. Using a series of examples on a dataset you can download, this tutorial covers the new functionality in dplyr versions 0.3 and 0.4. Watch the previous dplyr tutorial: http://youtu.be/jWjqLW-u3hc View the R Markdown document: http://rpubs.com/ju

From playlist Data manipulation in R with dplyr

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[ML News] Cedille French Language Model | YOU Search Engine | AI Finds Profitable MEME TOKENS

#mlnews #cedille #wmt Only the greatest of news from the world of Machine Learning. OUTLINE: 0:00 - Sponsor: Weights & Biases 1:50 - Cedille - French Language Model 3:55 - Facebook AI Multilingual model wins WMT 5:50 - YOU private search engine 10:35 - DeepMind's Open-Source Arnheim 12:1

From playlist All Videos

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Dividing two rational expressions by factoring

Learn how to divide rational expressions. A rational expression is an expression in the form of a fraction, usually having variable(s) in the denominator. Recall that to divide by a fraction, we multiply by the reciprocal of the fraction. The same rule applies when we want to divide by a r

From playlist How to Divide Rational Expressions #Rational

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MSPTDA 32: Slowly Changing Dimensions Team-Employee Report with Worksheet Formulas

Download files for videos: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DataModeling/MSPTDA-032-ChangingDimensions-PQAndWorksheetFormula.xlsx Pdf files with notes: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DataModeling/032-35-MSPTDA-ChangingDime

From playlist Full Advanced Data Analysis & BI Class (MSPTDA). Power Query, Power Pivot, DAX, M Code, Power BI & Excel (30+ Videos)

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Combinatorial optimization | Determinantal point process | Social network | Stationary distribution | Submodular set function | Cluster analysis | Genetic algorithm | Absorbing Markov chain | Rnn (software) | Anaphora (linguistics) | Semantic similarity | Facility location problem | Non-negative matrix factorization | Set cover problem | Graph (abstract data type) | Greedy algorithm | Cosine similarity | Internet bot | Bigram | Random walk | Text mining | PageRank | ROUGE (metric) | Latent semantic analysis | Binary classification | Linear combination | Cohesion (linguistics) | Transformer (machine learning model) | N-gram | Centroid | Quantile normalization