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5 benefits of eating oatmeal for breakfast |

By default, only the 20 most recent associations will be returned. You can get your list of associations directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your associations. Topic Models Last Updated: Monday, 2017-10-30 10:31 A topic model is an unsupervised machine learning method for unveiling all the different topics underlying a collection of documents. BigML uses Latent Dirichlet allocation (LDA), one of the most popular probabilistic methods for topic modeling.

In BigML, each instance (i. If multiple text fields are given as inputs, they will be automatically concatenated, so the content for each document can be considered as a bag of words. Topic model is an unsupervised method so your data doesn't need to be labeled.

Topic model is based on the assumption that any document exhibits a mixture of topics. Each topic is composed of a set of words which are thematically related. The words from a given topic have different probabilities for that topic. At the same time, each word can be attributable to one or several topics. So for example the word "sea" may be found in a topic related with sea transport but also in a topic related to holidays. Topic model automatically discards stopwords and high frequency words that occur in almost all of the documents as they don't help to determine the boundaries between topics.

Topic model's main applications include browsing, organizing and understanding large archives of documents. It can been applied for information retrieval, collaborative filtering, assessing document similarity among others.

The topics found in the dataset can also be very useful new features before applying other models like classification, clustering, or anomaly detection. Topic model returns a list of top terms for each topic found in the data. Note that topics are not labeled, so you have to infer their meaning according to the words they are composed of. By looking at each group of terms below we can interpret the first topic as regulatory related, the second as healthcare related and so on.

You can obtain up to 128 different topics. Once you build the topic model you can calculate each topic probability for a given document by using Topic Distribution.

This information can be useful to find documents similarities based on their thematic. You can also list all of your topic models. Specifies a list of terms to ignore when performing term analysis. This can be used to change the names of the fields in the topic model with respect to the original names in the dataset or to tell BigML that certain fields should be preferred. All text fields in the dataset Specifies the fields to be considered to create the topic model.

If multiple fields are given, the text field values for each row will be concatenated so that each row is still considered to be one document. If it is unset, it will be chosen automatically based on the number documents (i. The minimum value is 2 and maximum value is 64.

Example: "MySample" tags optional Array of Strings A list of strings that help classify and index your topic model. Computation is linear with respect to this parameter. The minimum value is 128 and maximum value is 16384. The minimum value is 1 and maximum value is 128. Example: true You can also use curl to customize a new topic model.

Once a topic model has been successfully created it will have the following properties. Topic Model Status Creating a topic model is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems.

The topic model goes through a number of states until its fully completed. Through the status field in the topic model you can determine when the topic model has been fully processed and ready to be used to create predictions.

Thus when retrieving a topicmodel, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.Open Files Tab Click the Files tab.

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NameEmail AddressWebsite AddressName(Required)Email Address(Required, will not be published)Related ContentRetrieving data. CommonsHow to create a signup sheet for students to pick a topic. Copying a quiz in a course by sending to CommonsDropping lowest score option when entries are differnt point valuesWhat are the algorithms behind the canvas gradebook. Preview KU events also take place in Cleveland, OH and northern California. These events include information from an admissions representative and local alumni.

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Contact your Admissions Representative KU Undergraduate Admissions U. Please contact Marketing Communications before removing or altering. At 6-6, the Bills are far from mathematically eliminated from playoff contention. It wouldn't be unfair to classify this team as "in the hunt. With a game remaining against the New England Patriots on Christmas Eve, the Bills will need some help to qualify for the postseason. So December will be another month of box-score watching for Buffalo fans.

At least as long as the Bills keep winning. The Colts' offense isn't near as potent without Andrew Luck as the quarterback. Jacoby Brissett has managed to make Indy a decent offense, though.

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This book is an ongoing effort to make this basic knowledge available for free. From Wikibooks, open books for an open world Jump to: navigation, searchWelcome to the Wikibook of Statistics Statistics Introduction What Is Statistics. Subjects in Modern Statistics Why Should I Learn Statistics. What Do I Need to Know to Learn Statistics.

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Text is available under the Creative Commons Attribution-ShareAlike License. Privacy policy About Wikibooks Disclaimers Developers Cookie statement Mobile view A PDF version is available. We are home to the Center for Mathematical Finance and Actuarial Research, an interdisciplinary research center providing leadership in quantitative finance.

We also provide consulting services through our statistical consulting laboratory: StatLab. Loren Nickel, Class 1996, Director of Business Risk and Insurance at Google, is the 2017 RIMS Risk Manager of the year. Chancellor Henry and Mrs.

Dilling Yang cordially invite you to attend the 2017 Staff Celebration Week. We are pleased to announce that the activities for the week will take place on April 29-May 5.

Please browse through the Calendar of Events for more info and details on how to register for events. Recipient of the 2016-2017 UCSB Outstanding Graduate Mentor Award. Congratulations to our 2017-2018 Wawanesa Scholarship Winners: Karla Orocio Baez, Kristy Cheng, Andrew Freedman, Ariel Huang, and Syen Yang Lu. PSTAT has been a part of UCSB since 1985. Learn More About our Department.

PSTAT's Actuarial Program is an SOA Center of Actuarial Excellence Learn More About our PSTAT Undergraduate Programs. Congratulations to our 2016 graduates. Find Out More About Our PSTAT Graduate Programs. Previous Pause Next PSTAT Points of Excellence PSTAT's Actuarial Program is an SOA Center of Actuarial Excellence Home to the Center for Financial Mathematics and Actuarial Research Operating the UCSB StatLab since 1985.

Alumni SOA Newsletter highlights UCSB Actuarial Program and CASS 2017. Recognition Staff Celebration Week Chancellor Henry and Mrs. Campus Events Congratulations to Prof S.

Faculty Awards Congratulations to our Wawanesa Scholarship Winners. The programme works towards advancing the methodological frameworks for measuring tourism and expanding its analytical potential, designs practical guidance for their implementation in countries, supports statistical strengthening in countries through capacity building, and compiles and disseminates tourism statistics of countries all over the world. For more information, see About us.

This is one of the goals of the World Tourism Day celebrations that are being conducted throughout the world. Press Release18 Sep 17 22nd UNWTO General Assembly in China: a week of important achievementsAn intense week of meetings, decisions and agreements marked the 22nd session of the UNWTO General Assembly in Chengdu, China on 13-16 September.

The biennial event convened more than 1300.Prior to that, he was Senior Vice President and General Manager of the Media Innovation Group, where he launched the first data management platform for agencies and was instrumental in creating the first and largest agency trading desk.

In 2016 he was named to the Crain 100, a list of the top disrupters and change-makers in business. Brian has a Bachelor of Arts degree in political science from the University of Pennsylvania and a Master of Business Administration from Columbia Business School. In addition to directing global marketing, Alison is driving capability building in digital and strategic consumer insights, professional marketing, and the innovation pipeline.

A creative visionary with over 25 years of leadership experience, she was named New York Advertising Woman of the Year in 2016. Bob Liodice is chief executive officer of the ANA. He previously served as executive vice president, responsible for member relations and business development with a primary focus on strengthening relationships with ANA member companies and broadening the membership base.

Bob joined the ANA as senior vice president in 1995. Prior to the ANA, he was vice president of global marketing and sales for Grupo Televisa, a major worldwide broadcaster. His previous experience includes more than 15 years in marketing and financial management at Kraft General Foods and tenure as category marketing manager for the Jell-O and Bakers brands. He is a member of the boards of directors of The Advertising Council, Advertising Research Foundation, Advertising Self-Regulatory Council, Partnership for Drug-Free Kids, Advertising Educational Foundation, Digital Advertising Alliance, Trustworthy Accountability Group, and World Federation of Advertisers.

Bob holds bachelor degrees in accounting and management and an M.

He held leadership roles at Razorfish, one of the early web design and digital agencies, helping them manage through the internet bubble and ultimately rising to be the global CEO. During this time, he honed his understanding and vision for the convergence of marketing and technology. In 2013, Bob joined AOL as CEO of its flagship technology group, AOL Platforms, which is used by over 2,500 brands and agencies and which over 40,000 publishers rely on to drive convergence.

Bob holds an MBA from Harvard Business School and a BS in engineering from Syracuse University. He is an active member of the TED community and a founding member of The Nantucket Project. Bob enjoys biking, surfing, competing in triathlons and spending time with his familyAdam oversees advanced television and the digital and television convergence for DISH Media Sales. In this role, he leads Sling TV, DISH Anywhere and all advanced television advertising sales, business development and operations.

Adam is a graduate of the Roy H.

He currently lives in New Jersey with his wife Melissa and their two sons. Kevin also led the B2B national sales team for CNET Networks. Growing up in working-class Long Island, a sixteen-year-old Bill traded three hourly wage jobs to buy a small deli, which he ran by instinctively applying ideas that would be the seeds for his future success. There, he injected enthusiasm and accountability into the demoralized culture by scaling his deli, sales, and management strategies. McDermott was first named to the SAP Executive Board in 2008 to manage global field operations.

Since he joined SAP in 2002, the company has delivered unparalleled growth in market share, revenue, and customer satisfaction in key markets. Before joining SAP, McDermott served as executive vice president of Worldwide Sales and Operations at Siebel Systems, and president of Gartner, Inc.

He spent 17 years at Xerox Corporation.Philippe Coutinho, Roberto Firmino, Mohamed Salah and Sadio Mane ran riot in midweek, sharing the goals between them against the Russians. After backing a 2-0 win for Everton against Huddersfield last weekend, we're going the same score for Palace to beat the Cherries. The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline. By posting your comment you agree to our house rules.

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Here's the best best bets for Super Sunday and the rest of the fixtures. AJ smashes windows for new store opening Ronaldo wins the Ballon d'Or: His career in 60 seconds 'I'm playing against a wall.

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Marko Arnautovic typifies fitter, sharper West Ham and. Chelsea check on Bayer Leverkusen ace Leon Bailey as. Swansea 1-0 West Brom: Wilfried Bony fires Paul Clement's. Philipp Max tracked by Manchester United, Liverpool. Everton eye move for Barcelona forward Paco Alcacer as.

Antonio Conte insists Chelsea 'are not in the title race'. Burnley 1-0 Watford: Scott Arfield strike wins it but. Gabriel Jesus compares Manchester derby to Brazil and. England goalkeeper Joe Hart suffers bitter blow as West. Jesse Lingard to put friendships with Raheem Sterling and. Mauricio Pochettino refuses to rule out Tottenhan return. Real Madrid star Cristiano Ronaldo reveals son Jr has.

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