Maurice Harkless, who has averaged more points (13. Center Jusuf Nurkic (right ankle) is out. Image 2 of 18Portland Trail Blazers guard Allen Crabbe dunks the ball Houston Rockets guard Lou Williams during the fourth quarter of an NBA basketball game in Portland, Ore. Trail BlazersChris Paul succinctly defines chemistry with Ryan Anderson:. Rockets' Ryan Anderson using 'cupping' to help with his backRockets defeat Jazz to push winning streak to 8Jazz's Donovan Mitchell appreciates compliment from Rockets'.
Rockets' Nene held out against Jazz due to eye injuryRockets' Clint Capela drew inspiration from Utah's Thabo. JazzLaMarcus Aldridge, 7 others score in double figures as Spurs. MONTREAL -- Following a week's absence, Jonathan Drouin is back for the Montreal Canadiens. MONTREAL -- The Habs will be looking to snap a two-game skid on Saturday when they host Connor McDavid and the Edmonton Oilers at the Bell Centre.
MONTREAL - Jeff Petry and the Canadiens are breaking out the clippers for a good cause. BROSSARD - After spending the last four games on the sidelines, Jonathan Drouin expects to be back in the lineup on Saturday night against the Edmonton Oilers.
BROSSARD - After getting over the flu, Jonathan Drouin was back at practice with the rest of his teammates on Friday morning at the Bell Sports Complex. MONTREAL - The Canadiens suffered only their second loss of the season when leading after two on Thursday night against the Calgary Flames, and while they would've liked to pick up their tenth win under those circumstances instead, they were still proud of the effort they put forth in a 3-2 overtime decision.
MONTREAL - Here's a numerical look at Thursday night's tilt between the Calgary Flames and Canadiens at the Bell Centre. MONTREAL - The Canadiens will once again have to do without the services of Jonathan Drouin on Thursday night when they welcome the Calgary Flames to the Bell Centre. MONTREAL - You don't have to look too far down the win column to see Providence College goaltender Hayden Hawkey's name right now.
After seeing their five-game winning streak stopped in its tracks on Tuesday against the Blues, the Canadiens will be looking to return to their winning ways when they welcome the Calgary Flames to the Bell Centre on Thursday night. Montreal Canadiens and canadiens. NHL, the NHL Shield, the word mark and image of the Stanley Cup and NHL Conference logos are registered trademarks of the National Hockey League.
All NHL logos and marks and NHL team logos and marks as well as all other proprietary materials depicted herein are the property of the NHL and the respective NHL teams and may not be reproduced without the prior written consent of NHL Enterprises, L. You are using an unsupported browser.
For the best possible NHL. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals.
MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines.
As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Nevertheless, this course is not a MATLAB tutorial. It is an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming. Students who successfully complete this course will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB.
From the course by Vanderbilt UniversityIntroduction to Programming with MATLABTry the Course for FreeThis CourseVanderbilt UniversityIntroduction to Programming with MATLABThis course teaches computer programming to those with little to no previous experience. There are a lot of them. But for this course we've decided to use a programming language that youmay not have heard of. MATLAB is very easy to use and to learn.
And at the same time, it's very powerful. It's nine weeks long, including eight weeks of video lectures, andone week for a final homework submission.Example: 100 name optional String,default is dataset's name The name you want to give to the new time series. The type of the field must be numerical. Non-numeric fields will be ignored, and if not present, the right-most valid field in the dataset will be used. The period needs to be set taking into account the time interval of your instances and the seasonal frequency.
For example, for monthly data and annual seasonality, the period should be 12, for daily data and weekly seasonality, the period should be 7. It can take values from 0 to 60. If the period is set to 1, there is no seasonality.Riferimenti teoretici per linterpretazione dei modelli di
If the period is 0, or not given, BigML will automatically learn the period in your data. The range of successive instances to build the time series. Multiplicative seasonality models are only available when the objective field has strictly positive values (greater than 0). Example: 2 tags optional Array of Strings A list of strings that help classify and index your time series.
If absent, the first datetime field in the dataset whose values are continuously either decreasing or increasing. If not given, the server will auto-detect the first sequential datetime field in the dataset. All fields are optional: giving any two among start, end, and interval are enough for a full specification, since the remaining one can always be computed.
If you give all three, end is ignored and recomputed using start and interval. After the initial pass through the input data, the value of end will be adjusted to coincide with the last non-missing objective value. If the objective field has missing values at its tail, then this adjusted value will differ from the one specified or computed from start and interval.
If you do not specify an objective field, BigML. Once a time series has been successfully created it will have the following properties.1975 chevy g20 van for sale
Each field's id has a list of objects with the following properties: The property forecast is a dictionary keyed by each field's id in the source. Each field's id has a list of objects with the following properties: In addition to the ETS models, BigML also provides simple forecast models for each field, to be used as references for the performance of the ETS models. Due to their trivial nature, these are always computed regardless of what ETS parameters are selected in the input.
Currently, we offer three simple model types: naive, mean, and drift. Naive: this model always forecasts the last value of the observed time series. For seasonal models, it repeats the last m values of the training series, where "m" is the given period length for the field. The parameters for this field are as follows: Mean: this model always forecasts the mean of the objective field.
For seasonal models, it is similar to the naive model since the model cycles the same sequence of values for forecasts, but instead of using the last set of m values, BigML computes the mean sequence of the naive values. The parameters for this field are as follows: Drift: Draws a straight line between the first and last values of the training series. Forecasts are performed by extending that line.
The parameters for this field are as follows: Creating a time series 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.I contacted customer service several times, and each time I got to talk to a real and knowledgeable person right away instead of a series of keys to press and hold.
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This session will explore how your strategies, technologies and operations must change to be compliant with the Regulation, and how good, early preparation will help you thrive in this stricter environment. Melissa Parrish, VP, Research Director, ForresterA special presentation from the native advertising software company, Sharethrough.
Dan Greenberg, CEO, SharethroughGreat Chief Marketing Officers (CMOs) are hard to find - ask any board. Blodget will discuss media trends in the year ahead as well as provide an inside view on the next steps for BI under owner Axel Springer SE, the leading digital publisher in Europe.
Henry Blodget, CEO and Editor, Business Insider Interviewed by: Sara Fischer, Media Reporter, AxiosQuantcast Co-Founder and CEO Konrad Feldman looks at the year ahead as his company pursues a strategy based on artificial intelligence (AI) technology and its application for brands, agencies and publishers. Konrad Feldman, Co-Founder and CEO, QuantcastCBS is looking at creating new and improved ways in 2018 for their clients to buy their TV show lineup and all CBS content across its broadcast and digital platforms.
JoAnn Ross will discuss her company's plans and the important trends she sees in the year ahead. Getting there requires industry collaboration, strong data science and airtight privacy.
The CEOs of some of the world's largest audience and data platforms will survey the landscape, discussing how they and their peers are moving toward a world of "known" users.
He'll provide insights on the huge opportunity ahead he sees for his company. In this fireside chat, Steve King, Publicis Media's CEO, will discuss his view on how the agency is achieving its mission. Steve King, CEO, Publicis Media Interviewed by: Brian Wieser, Sr.
Brian Andersen, Partner, LUMATwo days focused on what to expect in the next 12 months in marketing technology.
Hear the leaders of the advertising and marketing technology ecosystem reveal new visions for 2018 and beyond. Get unparalleled insight into the latest ideas, trends and technologies that are shaping the marketing and advertising world.
Must book by January 4, 2018. Entire tickets may be transferred prior to event start, but cannot be transferred after ticket-holder has checked into the event. With a decade on the buy side of acquisitions, Brian has extensive experience in setting strategy, executing acquisitions and successfully integrating acquired companies.
Before Interwoven, he was a member of the executive staff at Phoenix Technologies, where he was responsible for corporate development, government affairs and special projects for the CEO.
Michael was most recently chief executive officer and president at Millennial Media (NYSE:MM), a leading independent mobile ad technology company. Previously he has served as president and founder of Ichabod Farm Ventures LLC, a private investment firm he established after working as executive vice president and chief revenue officer of Yahoo.
He earlier worked at Google, where he led integration efforts following the acquisition of Admeld Inc. He has also served as executive vice president and chief revenue officer at Fox Interactive Media, as executive vice president of sales and partnerships at AOL Media Networks and in senior sales positions at GeoCities and Disney Online.
He majored in economics at The College of the Holy Cross and serves on the boards of MediaMath, MightyTV and The College of the Holy Cross. Brad is responsible for global product management for the Google Display Network, DoubleClick Bid Manager, DoubleClick Campaign Manager, DoubleClick Audience Center, Gmail monetization, and other emerging display and video advertising businesses.
Brad is a frequent guest speaker at industry events and conferences around the world and has been cited in Ad Age, Business Week, and The Wall Street Journal, among many other publications. Prior to joining Google, Brad held multiple leadership positions at DoubleClick in both the US and Europe.
Most recently, he was their Vice President of Product Management responsible for the optimization suite of products used by many leading publishers, agencies, and marketers worldwide. Brad is an inventor of several patents in the areas of data and privacy.Merge magic create snake mixture
He currently lives in Palo Alto with his wife, twin daughters, and their dog. Henry Blodget is cofounder, CEO, and editor-in-chief of Business Insider, one of the most-read business and tech news sites in the world. Business Insider is majority owned by Axel Springer, the leading digital publisher in Europe. The site has 80-plus million visitors a month worldwide.
A former top-ranked Wall Street analyst, Henry is often a guest on CNBC, CNN, MSNBC, NPR, and other networks. He has contributed to The Atlantic, Slate, The New York Times, Fortune, New York, the Financial Times, and other publications. During the dot-com boom of the late 1990s, Henry was a top-ranked Wall Street internet analyst.You guys made my trip seamless, easy and perfect.
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We were also advised to moisturise our face in the evening and not to wash our face in the morning to prevent sun or wind burn. Our guides were superb with regards to advice as to the most appropriate clothing to wear on the day of our trips as one day was "warm" and the next day was very cold.With this argument you can pick your own scaling for each field. This will make it easy for you do things like balancing age and salary, but then request that age be twice as important.
This can be used to change the names of the fields in the cluster with respect to the original names in the dataset or to tell BigML that certain fields should be preferred. All the fields in the dataset Specifies the fields to be considered to create the clusters. Must be null or a number greater than or equal to 1 and less than or equal to 300. Each model predicts whether or not an instance is part of its respective cluster.
Example: true name optional String,default is dataset's name The name you want to give to the new cluster. The range of successive instances to build the cluster.Latest Beautiful Pooja Room Ideas -- POOJA ROOM INTERIOR DESIGNS
It selects the norm to minimize when regularizing the solution. Regularizing with respect to the l1 norm causes more coefficients to be zero, and using the l2 norm forces the magnitudes of all coefficients towards zero. Example: l1 replacement optional Boolean,default is false Whether sampling should be performed with or without replacement. You can use either field identifiers or field names. Example: "000004" You can also use curl to customize a new cluster. Once a cluster has been successfully created it will have the following properties.
Creating a cluster 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 cluster goes through a number of states until its fully completed. Through the status field in the cluster you can determine when the cluster has been fully processed and ready to be used to create predictions.
Thus when retrieving a cluster, 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.
Each centroid has associated a pre-computed dataset that has been created using all the instances in the neighborhood. Each model separates between those instances that belong to the centroid neighborhood and those that belong to other neighborhoods.
Once you delete a cluster, it is permanently deleted.Ryzen 3600x ram speed
If you try to delete a cluster a second time, or a cluster that does not exist, you will receive a "404 not found" response.
However, if you try to delete a cluster that is being used at the moment, then BigML. To list all the clusters, you can use the cluster base URL.
By default, only the 20 most recent clusters will be returned. You can get your list of clusters directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your clusters.
Anomaly Detectors Last Updated: Monday, 2017-10-30 10:31 Anomaly detectors can be applied to a variety of domains like fraud detection, security, quality control, medicine, etc.
BigML anomaly detectors are built using an unsupervised anomaly detection technique. Therefore, you do not need to explicitly label each instance in your dataset as "normal" or "abnormal". When you create a new anomaly detector, it automatically returns an anomaly score for the top n most anomalous instances.
The newly created anomaly detector can also be used to later create anomaly scores for new data points or batch anomaly scores for all the instances of a dataset. You can also list all of your anomaly detectors.
This can be used to change the names of the fields in the anomaly detector with respect to the original names in the dataset or to tell BigML that certain fields should be preferred. Must be a number greater than or equal to 2 and less than or equal to 1000 (or 16 in development mode).
All the fields in the dataset Specifies the fields to be considered to create the anomaly detector. The range of successive instances to build the anomaly detector. Example: "MySample" tags optional Array of Strings A list of strings that help classify and index your anomaly detector.
The minimum number is 1 and the maximum is 1024.Important Notice:The data, articles and other information on these pages is provided on an "as is" basis for information purposes only. The Weebly editor provides a pretty good picture of how your site will look when published, but you can also get an actual preview of both mobile and desktop. Tap on Preview in the lower right, and then choose from Mobile or Desktop by tapping one of the two buttons.
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In this Article Was this article helpful. All IE versions add extra space at the bottom without this. Chrome renders images pixelated when switching to GPU. Since the lightbox can receive focus, IE also gives it an outline. It also prevents a bug that causes the document underneath to scroll. Remove default margin set by user-agent on the element. Set default font family to sans-serif.
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GuideThe Box Content Preview UI Element allows developers to easily embed high quality and interactive previews of Box files in their desktop or mobile web application.
The library fetches information about the file and its converted representations through the Box API, chooses the appropriate viewer for the file type, dynamically loads the necessary static assets and file representations, and finally renders the file.
This UI Element also allows previews of multiple files to be loaded in the same container and exposes arrows to navigate between those files. This UI Element powers Preview in the main Box web application as well as the 'expiring embed' Box API endpoint. This UI Element uses Promises. If your application supports Internet Explorer 11, please include your favorite polyfill library or a service like polyfill. Source code for the Preview Element is hosted on GitHub.Shingle lift harbor freight
The repository contains detailed documentation for usage and development. Please file any bugs you encounter under the 'Issues' tab with clear steps to reproduce. For example, CodePen's domain is whitelisted for the demo application below. The UI Elements are designed in an authentication-type agnostic way so whether you are using UI Elements for users who have Box accounts (Managed Users) or non-Box accounts (App Users), UI Elements should just work out of the box.
The reason for this is that UI Elements only expect a "token" to be passed in for authentication, and Box provides two different ways to generate tokens - OAuth and JWT.
So depending on which type of app you are building, follow the linked authentication guides above on how to generate access tokens, and refer to the UI Elements documentation below how to pass along those tokens to the Content Preview UI Element.
If you have any questions, please visit our developer forum. The Preview UI Element needs an access token to make Box API calls. We strongly suggest that before you put this UI Element into production, you leverage the appropriate scope to avoid putting a fully scoped token into the client. See the Scopes section for how to choose and use scopes.
See below for details.
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