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Search results “Data mining is simply filtering through large amounts of raw”

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This introductory video covers what wavelets are and how you can use them to explore your data in MATLAB®. •Try Wavelet Toolbox: https://goo.gl/m0ms9d •Ready to Buy: https://goo.gl/sMfoDr The video focuses on two important wavelet transform concepts: scaling and shifting. The concepts can be applied to 2D data such as images. Video Transcript: Hello, everyone. In this introductory session, I will cover some basic wavelet concepts. I will be primarily using a 1-D example, but the same concepts can be applied to images, as well. First, let's review what a wavelet is. Real world data or signals frequently exhibit slowly changing trends or oscillations punctuated with transients. On the other hand, images have smooth regions interrupted by edges or abrupt changes in contrast. These abrupt changes are often the most interesting parts of the data, both perceptually and in terms of the information they provide. The Fourier transform is a powerful tool for data analysis. However, it does not represent abrupt changes efficiently. The reason for this is that the Fourier transform represents data as sum of sine waves, which are not localized in time or space. These sine waves oscillate forever. Therefore, to accurately analyze signals and images that have abrupt changes, we need to use a new class of functions that are well localized in time and frequency: This brings us to the topic of Wavelets. A wavelet is a rapidly decaying, wave-like oscillation that has zero mean. Unlike sinusoids, which extend to infinity, a wavelet exists for a finite duration. Wavelets come in different sizes and shapes. Here are some of the well-known ones. The availability of a wide range of wavelets is a key strength of wavelet analysis. To choose the right wavelet, you'll need to consider the application you'll use it for. We will discuss this in more detail in a subsequent session. For now, let's focus on two important wavelet transform concepts: scaling and shifting. Let' start with scaling. Say you have a signal PSI(t). Scaling refers to the process of stretching or shrinking the signal in time, which can be expressed using this equation [on screen]. S is the scaling factor, which is a positive value and corresponds to how much a signal is scaled in time. The scale factor is inversely proportional to frequency. For example, scaling a sine wave by 2 results in reducing its original frequency by half or by an octave. For a wavelet, there is a reciprocal relationship between scale and frequency with a constant of proportionality. This constant of proportionality is called the "center frequency" of the wavelet. This is because, unlike the sinewave, the wavelet has a band pass characteristic in the frequency domain. Mathematically, the equivalent frequency is defined using this equation [on screen], where Cf is center frequency of the wavelet, s is the wavelet scale, and delta t is the sampling interval. Therefore when you scale a wavelet by a factor of 2, it results in reducing the equivalent frequency by an octave. For instance, here is how a sym4 wavelet with center frequency 0.71 Hz corresponds to a sine wave of same frequency. A larger scale factor results in a stretched wavelet, which corresponds to a lower frequency. A smaller scale factor results in a shrunken wavelet, which corresponds to a high frequency. A stretched wavelet helps in capturing the slowly varying changes in a signal while a compressed wavelet helps in capturing abrupt changes. You can construct different scales that inversely correspond the equivalent frequencies, as mentioned earlier. Next, we'll discuss shifting. Shifting a wavelet simply means delaying or advancing the onset of the wavelet along the length of the signal. A shifted wavelet represented using this notation [on screen] means that the wavelet is shifted and centered at k. We need to shift the wavelet to align with the feature we are looking for in a signal.The two major transforms in wavelet analysis are Continuous and Discrete Wavelet Transforms. These transforms differ based on how the wavelets are scaled and shifted. More on this in the next session. But for now, you've got the basic concepts behind wavelets.
Views: 129216 MATLAB

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Most experienced data analysts and programmers already have the skills to get started. BigQuery is fully managed and lets you search through terabytes of data in seconds. It’s also cost effective: you can store gigabytes, terabytes, or even petabytes of data with no upfront payment, no administrative costs, and no licensing fees. In this webinar, we will: - Build several highly-effective analytics solutions with Google BigQuery - Provide a clear road map of BigQuery capabilities - Explain how to quickly find answers and examples online - Share how to best evaluate BigQuery for your use cases - Answer your questions about BigQuery

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This video is part of the Udacity course "Intro to Programming". Watch the full course at https://www.udacity.com/course/ud000
Views: 269319 Udacity

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This video is a brief introduction for undergraduates to the logic (not the nitty-gritty details) of data mining in social science research. Four orienting tips for getting started and placing data mining in the broader context of social research are included.
Views: 273 James Cook

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See what's new in our latest version - http://www.talend.com/products Within this video, we’ll dive deeper into how to work with our Datasets and how to search, browse and visualize your data. A dataset is simply a local or remote file that I can import into the Talend Data Preparation Tool, and potentially any other data sources such as database tables or cloud applications although not in the context of the Free Desktop version. After which I can then create a new “recipe” of functions to adjust my data to be presented to me in a new way. Think of it as implementing a filtering lens to view the data. I can then export my new recipe as a new “preparation”, leaving my original data unchanged.
Views: 976 Talend

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Views: 1953 BocoupLLC

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Views: 15644 365 Careers

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Views: 23324 SAS Software

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Enroll to Full Course: https://goo.gl/liK0Oq The "OSI Model" also known as "OSI Reference Model" is discussed here in 2 parts: a) Understanding OSI Reference Model b) OSI Model layers a) Understanding OSI Model (00:22): http://youtu.be/p7UR7Nipqcs?t=22s The OSI reference model is one such communication model. OSI stands for "Open Systems Interconnection" which means that every system participating in this model is open for communication with other systems. This model was first defined by an organization called as ISO. The OSI model divides the communication into 7 layers. b) OSI Model layers (2:15) : http://youtu.be/p7UR7Nipqcs?t=2m15s Quick Look of the 7 layers of the OSI reference Model: 7) Application Layer is where the users interact with applications to provide data 6) Presentation Layer is concerned with the format of data exchanged between the end systems 5) Session Layer allows users on different machines to create sessions between them 4) Transport Layer is concerned with end to end communication of messages 3) Network Layer is concerned with routing of packets to correct destination 2) Data Link Layer is concerned with transmission of error free data in the form of Frames 1) Physical Layer is concerned about transmission of raw bits over the communication link Search Terms: OSI Model, OSI layers, OSI Model Layers, OSI 7 Layers, Network Layer, 7 Layers of OSI model, OSI network Model, what is osi model, OSI system, OSI Reference Model, ISO OSI Model, OSI Model layers, video URL : https://www.youtube.com/watch?v=p7UR7Nipqcs Watch ALL CN VIDEOS: https://www.youtube.com/playlist?list=PL9OIoIp8YySF4mkIihOb_j2HZIRIlYuEx For more, visit http://www.udemy.com/u/EngineeringMentor Facebook: https://www.facebook.com/SkillGurukul Twitter : https://twitter.com/Engi_Mentor
Views: 565443 Skill Gurukul

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Never miss a talk! SUBSCRIBE to the TEDx channel: http://bit.ly/1FAg8hB Jon is a farmer from northeastern Thailand. He founded the Pun Pun Center for Self-reliance, an organic farm outside Chiang Mai, with his wife Peggy Reents in 2003. Pun Pun doubles as a center for sustainable living and seed production, aiming to bring indigenous and rare seeds back into use. It regularly hosts training on simple techniques to live more sustainably. Outside of Pun Pun, Jon is a leader in bringing the natural building movement to Thailand, appearing as a spokesperson on dozens of publications and TV programs for the past 10 years. He continually strives to find easier ways for people to fulfill their basic needs. For more information visit http://www.punpunthailand.org About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 7589945 TEDx Talks

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What is AIR FLOW METER? What does AIR FLOW METER mean? AIR FLOW METER meaning - AIR FLOW METER definition - AIR FLOW METER explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ An air flow meter, is a device that measures air flow, i.e. how much air is flowing through a tube. It does not measure the volume of the air passing through the tube, it measures the mass of air flowing through the device per unit time. Thus air flow meters are simply an application of mass flow meters for a special medium. Typically, mass air flow measurements are expressed in the units of kilograms per second (kg/s). An air flow meter is used in some automobiles to measure the quantity of air going into the internal combustion engine. All modern electronically controlled Diesel Engines use an air flow meter, as it is the only possible means of determining the air intake for them. In the case of a petrol engine, the electronic control unit (ECU) then calculates how much fuel is needed to inject into the cylinder ports. In the diesel engine, the ECU meters the fuel through the injectors into the engines cylinders during the compression stroke. Air flow meter is a special sensor which as been modified now by MEMS technology. The vane (flap) type air flow meters (Bosch L-Jetronic and early Motronic EFI systems or Hitachi) actually measure air volume, whereas the later "hot wire" and "hot film" air mass meters measure the mass of air flow. The flap type meter includes a spring which returns the internal flap to the initial position. Sometimes if the spring is tensioned too tightly, it can restrict the incoming air and it would cause the intake air speed to increase when not opened fully. Differential pressure is also used for air flow measurement purposes. Air flow meters may fail or wear out. When this happens, engine performance will often decrease significantly, engine emissions will be greatly increased, and usually the Malfunction Indicator Lamp (MIL) will illuminate. In most countries in Europe, and in places in the United States where emissions inspections are obligatory, a lit MIL is cause for a vehicle to fail the inspection. Some engines do not idle with an air flow meter failure. In the development process of internal combustion engines with engine test stands, an air flow meter/air flow measuring unit is used for measuring the continuous gravimetric air consumption of combustion engines. Air flow meters monitor air (compressed, forced, or ambient) in many manufacturing processes. In many industries, preheated air (called "combustion air") is added to boiler fuel just before fuel ignition to ensure the proper ratio of fuel to air for an efficient flame. Pharmaceutical factories and coal pulverizers use forced air as a means to force particle movement or ensure a dry atmosphere. Air flow is also monitored in mining and nuclear environments to ensure the safety of people.
Views: 129 The Audiopedia

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Views: 202373 Siobhan O'Toole

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Removing Outliers from pivot table data can be a bit tricky, but I've made a step by step video of how to identify and filter outliers from a pivot tables source data. I'll go through and example looking at production data where I would like to summarize by average values, but because of outliers, the data is skewed. To eliminate this problem, I show you how to find each quartile (Q1, Q2 - Median, and Q3), calculate the IQR, and then determine outliers. Welcome to The Engineer Toolbox Channel, where I give you the tools you need to solve real world engineering problems. Channel Link: https://www.youtube.com/channel/UCX-H7IOnCfHihvtnypTORMA Check out my Channel for more videos and tutorials for engineers! Like, follow, Share and don't be afraid to drop me a comment/message with feedback, questions, or video suggestions! Thanks for watching!

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Real-world data is naturally connected. Learn how to create graph database applications on Azure Cosmos DB and explore the different solutions that it provides to common data scenarios in the enterprise. We will also cover customer cases that currently leverage graph databases in their day-to-day workloads. Create a Free Account (Azure): https://aka.ms/azft-cosmos
Views: 906 Microsoft Developer

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A brief introduction to epigenetics and DNA methylation, followed by a detailed description of how to determine if specific genes are differentially methylated in biospecimen samples. Instructions are provided to learn how to download large datasets from the TCGA web portal.
Views: 2512 nmsuaces

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[ You can find a visual transcript of this video on my blog: https://www.timroes.de/2016/10/23/kibana5-introduction/ ] In this video we'll cover all the basics you need to get started with Kibana 5 and kickstart into visualizing and analyzing your data. More Kibana tutorials can be found on https://www.timroes.de All Kibana tutorials are available in the Kibana Tutorials playlist: https://www.youtube.com/playlist?list=PLWOeloPQaz1C91x7ioqFO8SnaV7xNFvjo The mentioned post about the detailed explanation of queries can be found at: https://www.timroes.de/2016/05/29/elasticsearch-kibana-queries-in-depth-tutorial/ Some tutorials about timelion: - Short introduction: https://www.youtube.com/watch?v=-sgZdW5k7eQ - More detailed talk from DevoxxFR: https://www.youtube.com/watch?v=L5LvP_Cj0A0
Views: 130154 Tim Roes

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Views: 328372 MarinStatsLectures

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Views: 394908 LearnApp

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Views: 2816 Authentic Intent

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This video provides a brief introduction to Stata commands used to annotate, subset, and browse a data set.

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Views: 200174 edureka!

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Artur Fattakhov, Ilya Kibardin and Dmitriy Abulkhanov share their winner’s solutions of Kaggle Camera Model Identification. In this competition, Kagglers challenged to build an algorithm that identifies which camera model captured an image by using traces intrinsically left in the image. From this video you will learn: - How to get additional photo data - Training Scheme with cyclic learning rate and pseudo labeling - Snapshot Ensembles aka Multi Checkpoint TTA - Training on small crops and finetune on big crops to speed up without loss in quality - Prediction equalization Slides: https://gh.mltrainings.ru/presentations/KibardinFattahovAbulkhanov_KaggleCamera_2018.pdf Github: https://github.com/ikibardin/kaggle-camera-model-identification Yandex hosts biweekly training sessions on machine learning. These meetings offer an opportunity for the participants of data analysis contests to meet, talk, and exchange experience. Each of these events is made up of a practical session and a report. The problems are taken from Kaggle and similar platforms. The reports are given by successful participants of recent contests, who share their strategies and talk about the techniques used by their competitors.

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It is often suggested that the reason we don't hear from alien civilizations is that they are in hiding. In this episode, we will explore that notion, and examine why a civilization might hide and how they would go about doing it. Visit our Website: http://www.isaacarthur.net Join the Facebook Group: https://www.facebook.com/groups/1583992725237264/ Support the Channel on Patreon: https://www.patreon.com/IsaacArthur Visit the sub-reddit: https://www.reddit.com/r/IsaacArthur/ Listen or Download the audio of this episode from Soundcloud: https://soundcloud.com/isaac-arthur-148927746/hidden-aliens Cover Art by Jakub Grygier: https://www.artstation.com/artist/jakub_grygier Graphics Team: Edward Nardella Jarred Eagley Justin Dixon Katie Byrne Misho Yordanov Murat Mamkegh Pierre Demet Sergio Botero Stefan Blandin Script Editing: Andy Popescu Connor Hogan Edward Nardella Eustratius Graham Gregory Leal Jefferson Eagley Luca de Rosa Michael Gusevsky Mitch Armstrong MolbOrg Naomi Kern Philip Baldock Sigmund Kopperud Steve Cardon Tiffany Penner Music: Martin Rezny, "Life Light" Markus Junnikkala, "Memory of Earth" Lombus, "Hydrogen Sonata" AJ Prasad, "Staring Through"
Views: 239746 Isaac Arthur

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Views: 86980 Brave New Films

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Dr. Jaime Carbonell is an expert in machine learning, scalable data mining (“big data”), text mining, machine translation, and computational proteomics. He invented Proactive Machine Learning, including its underlying decision-theoretic framework, and new Transfer Learning methods. He is also known for the Maximal Marginal Relevance principle in information retrieval. Dr. Carbonell has published some 350 papers and books and supervised 65 Ph.D. dissertations. He has served on multiple governmental advisory committees, including the Human Genome Committee of the National Institutes of Health, and is Director of the Language Technologies Institute. At CMU, Dr. Carbonell has designed degree programs and courses in language technologies, machine learning, data sciences, and electronic commerce. He received his Ph.D. from Yale University. For more, read the white paper, "Computing, cognition, and the future of knowing" https://ibm.biz/BdHErb
Views: 1691 IBM Research

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Our Excel training videos on YouTube cover formulas, functions and VBA. Useful for beginners as well as advanced learners. New upload every Thursday. For details you can visit our website: http://www.familycomputerclub.com You can use Visual Basic for Applications in Excel to transfer data from one workbook to another Excel workbook automatically. The process is simple once you understand the steps. It involves creating 3 variables or containers for data. Now we transfer the data from one workbook to the variables. Next we open the other workbook, locate the correct empty row and then the appropriate cells. Here we finally transfer the data from the variables into the cells and automatically save the workbook. Get a cup of tea or coffee or a diet coke and just work through the code. It's easy! Get the book Excel 2016 Power Programming with VBA: http://amzn.to/2kDP35V If you are from India you can get this book here: http://amzn.to/2jzJGqU
Views: 400796 Dinesh Kumar Takyar

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An in-depth look at the Fermi Paradox in terms of Kardashev 2+ civilizations. This video has been updated, the new version can be seen here: https://www.youtube.com/watch?v=QfuK8la0y6s
Views: 267913 Isaac Arthur

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Professor Peter Bailis of Stanford provides an overview of his current research project, Macrobase, an analytics engine that provides efficient, accurate, and modular analyses that highlight and aggregate important and unusual behavior, acting as a search engine for fast data. This is part of Google Cloud Advanced Technology Talks, a series dedicated to bringing cutting edge research and prestigious researchers to speak at Google Cloud. All speakers are leading experts and innovators within their given fields of research. Peter Bailis is an assistant professor from Stanford University.

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Views: 2109 JMPSoftwareFromSAS

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This screen cast demonstrates the use of Microsoft Excel to organize information for qualitative research.
Views: 33022 tamuwritingcenter

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I talk with Clif High and Paladin about Crypto Currencies and the Future. CLIF HIGH is the originator of the Webbot system now focusing on crypto currencies. The web bot project has continued to give archetype descriptors of future events such as the anthrax attack in Washington, the crash of American 587, the Columbia disaster, the Northeast Power outage, the Banda Aceh earthquake and most recently the flooding of the Red River. As a continuing project, reports are offered from the extracted archetype information at his web site, http://halfpasthuman.com ALADIN is a forensic financial investigator, a licensed Private Investigator and assisted with in the OJ Simpson trial investigation. He is a key member of a group called The White Hats. whitehatsreport.com/ KERRY CASSIDY PROJECT CAMELOT http://projectcamelot.tv
Views: 55910 Project Camelot

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Views: 8575 PCWorld

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Fenris isn't a hell planet, but it's nobody's bargain. With 2,000-hour days and an 8,000-hour year, it alternates blazing heat with killing cold. A planet like that tends to breed a special kind of person: tough enough to stay alive and smart enough to make the best of it. When that kind of person discovers he's being cheated of wealth he's risked his life for, that kind of planet is ripe for revolution. Chapter 1. The Ship From Terra - 00:00 Chapter 2. Reporter Working - 26:28 Chapter 3. Bottom Level - 50:00 Chapter 4. Main City Level - 1:09:38 Chapter 5. Meeting Out Of Order - 1:29:25 Chapter 6. Elementary My Dear Kivelson - 1:50:33 Chapter 7. Aboard The Javelin - 2:07:03 Chapter 8. Practice, 50mm Gun - 2:23:09 Chapter 9. Monster Killing - 2:40:15 Chapter 10. Mayday, Mayday - 2:53:16 Chapter 11. Darkness and Cold - 3:10:26 Chapter 12. Castaways Working - 3:25:41 Chapter 13. The Beacon Light - 3:37:34 Chapter 14. The Rescue - 3:48:23 Chapter 15. Vigilantes - 4:00:36 Chapter 16. Civil War Postponed - 4:23:41 Chapter 17. Tallow-Wax Fire - 4:38:42 Chapter 18. The Treason of Bish Ware - 4:57:24 Chapter 19. Masks Off - 5:15:43 Chapter 20. Finale - 5:47:41
Views: 1921 Audiobooks Unleashed

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This workshop will help introduce users to the GDC tools for downloading and retrieving data from cancer genomic studies. As an example, we will query and download open access data using the GDC Data Portal and the high performance GDC Data Transfer Tool. We will also review the process for obtaining access to controlled data and demonstrate how to generate a token for downloading controlled access data. http://gdc.cancer.gov/support/gdc-workshops
Views: 3080 NCIwebinars

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Hello and welcome to another addition of #brandwatchtips! This week Brit will talk you through another brilliant Brandwatch Analytics feature - Sentiment Analysis. This includes: - How to view sentiment analysis - How to analyse the sentiment - How to change incorrect sentiment Find out more here: http://www.brandwatch.com/2014/09/conduct-sentiment-analysis-brandwatchtips/ _______________________________________ Brandwatch is powerful social media monitoring, analytics and intelligence tool. Grow your presence, track your influence and understand your audience. Subscribe now for regular webinars, expert interviews and #brandwatchtips. • Get a demo of Brandwatch ➡ http://www.brandwatch.com/demo • Brandwatch ESPN Case Study ➡ http://www.brandwatch.com/case-study-espn/ • Brandwatch Consumer Tech Report ➡ http://www.brandwatch.com/report-consumer-technology/
Views: 1839 Brandwatch

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In this Cloud episode of Google Developers Live, Felipe Hoffa hosts Pearson's Director of Data Science Collin Sellman, to celebrate Python Pandas release 0.13 and its Google BigQuery connector. Jacob Schaer and Sean Schaefer join them to demo its capabilities, and how Pearson uses data science to improve education.

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The University of Pittsburgh Medical Center's data analytics team includes a professional journalist who takes the raw data and turns it into a clean report anyone can read. Pamela Peele, the chief analytics officer of the Insurance Services Division at UPMC, said simply handing over rows of numbers and charts without a more polished presentation will mean executives will be less likely to consider the information hidden within the numbers.
Views: 397 medcitynews

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Batch Image Processing Software.The latest Imagisizer Pro has a host of new features which have been developed to further enhance the already powerful software. The image processing power has been vastly improved and there is now an additional range of effects and filters, watermarking and facebook upload.
Views: 229 Imagisizer

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In this webinar, Christina Ilvento, a Product Manager on the Google App Engine team, provides an introduction to using the App Engine Search API.

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The Harvard Graduate School of Design and the Doctor of Design Studies Program are hosting the international interdisciplinary conference Data Across Scales: Reshaping Design. Bringing together design researchers and practitioners, the conference inquires into the role of "data" in design and how it is steering its practice across all scales. The conference will comprise four panels: “Data-driven design,” “Programming the physical world,” “Urban design and big data” and “Open data and civic media.”
Views: 1046 Harvard GSD

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Views: 212795 iBasskung

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The Realities and Realms colloquium focuses on the role of computation and robotics in landscape architecture and the expanding sensorial field of the built environment. These hybrid grounds of operation merge anthropogenic perception and technological mediation. As sensing networks expand, data grows exponentially in quantity and ubiquity, building an increasingly abstract landscape of information. How such data is elucidated, curated, and augmented forms new realities for design. This colloquium will explore design methodologies that address concurrent physical and virtual realms and the realities in which they operate. In this context, a realm is a lens through which we sense an environment and a reality is place within which we take action. The Realities and Realms colloquium engages select practitioners, theorists, and academics for an afternoon to explore the future of responsive technologies to interpret and modify environment. Panelists will posit trajectories that frame the role of responsive technologies to imagine, choreograph, and evolve cyborg landscapes and synthetic ecologies. The colloquium will be organized in two panel sessions followed by open discussions, exploring the tools, practice, theories, and futures of responsive technologies in landscape architecture.
Views: 1797 Harvard GSD

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Views: 2852 Data Science Dojo

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Jon Kleinberg of Cornell University presents a model that tracks the sharing and dispersion of information through social media networks.

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This webinar featured Gene Stevens, co-founder and chief technology officer of ProtectWise, on how the proliferation of Internet of Things devices, Internet protocol traffic, and bad actors requires a new approach to the capture, visualization, and management of malicious cyber events. Stevens discusses how new, automated network detection and response tools are needed to support power systems from generation through transmission, all the way to the distribution infrastructure
Views: 501 NREL Learning

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