The range of successive instances to build the models of the deepnet. The final deepnet returned by the search is a compromise between the top n networks found in the search. Example: true seed optional String A string to be hashed to generate deterministic samples. Dataset sampling doesn't apply to evaluations for time series.
BigML has learned some general rules about what makes one network structure better than another for a given dataset. Given your dataset, BigML will automatically suggest a structure and a set of parameter values that are likely to perform well for your dataset.
This option only builds one network. Example: true tags optional Array of Strings A list of strings that help classify and retrieve the deepnet. The theory is that these engineered features will linearize obvious non-linear dependencies before training begins, and so make learning proceed more quickly.
Example: "000005" Depending on the descent algorithm chosen and the topology of the network, certain other parameters may apply. You can also use curl to customize a new deepnet from the command line. For example, to create a new deepnet named "my deepnet" using descent algorithm "adam". Once a deepnet has been successfully created it will have the following properties.
Creating a deepnet 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 deepnet goes through a number of states until its fully completed. Through the status field in the deepnet you can determine when deepnet has been fully processed and ready to be used to create predictions.
Once you delete a deepnet, it is permanently deleted. If you try to delete a deepnet a second time, or a deepnet that does not exist, you will receive a "404 not found" response. However, if you try to delete a deepnet that is being used at the moment, then BigML. To list all the deepnets, you can use the deepnet base URL. By default, only the 20 most recent deepnets will be returned. You can get your list of deepnets directly in your browser using your own username and API key with the following links.
You can also paginate, filter, and order your deepnets. When you create a new prediction using a model, BigML. If you create a new prediction using an ensemble using the bagging or random decision forests technique, the same process is repeated for each model in the ensemble. Then all the predictions from the individual models in the ensemble are combined to return a final prediction using one of the strategies described below.
If the ensemble is using the gradient tree boosting technique, the prediction result will be additive meaning each tree modifies the predictions of the previously grown tree. If you create a new prediction using a logistic regression, its coefficients will be used. You can also list all of your predictions.
You can use curl to customize new predictions. It is possible to create a prediction using the filtered decision tree model by specifying filter parameters in the query string of the request parameters. Two useful parameters are support and value, as described in the Filtering a Model section. Once a prediction has been successfully created it will have the following properties.
This is the date and time in which the prediction was created with microsecond precision. Each entry includes the column number in original source, the name of the field, the type of the field, and the specific datatype.
Not available for ensembles with boosted trees.Bills will face the NFL's No. From The USA TODAY NETWORK These sites are part of the USA TODAY NETWORK. Their content is produced independently from our newsrooms. Though the annual fete helps to kick off Oscar season, the three-hour ceremony at the Beverly Hilton also gives the TV world a chance to earn some much-wanted love and affection from the Hollywood Foreign Press Association.
Petro-renminbi surges, USDCNY below 6. Female CEOs at more than 60 Fortune 500 companies. Download PDF 2017 was supposed to be the year of volatility. All in all, it seemed as if this would be the year we would see a more rambunctious monetary policy impulse, more dramatic gyrations in global markets, and a more turbulent climate for trading and investments in general. Download PDF In the US, Trump floundered from one scandal and gaffe to the next, entirely failing to pull any policy levers that impacted markets even as he took personal responsibility for a stellar year in stock markets with record low volatility.
Who would have thought that, 12 months after the 2016 Election Day earthquake in the US, a classic fear indicator like gold would be near-precisely unchanged. Our suspicion is that the complacency and low volatility in 2017 will not repeat and may indeed have stored energy for a spectacular and outrageous 2018.
Thus, a number of our predictions point squarely at the risk that this accumulation of excess complacency may have blown a pent-up bubble of volatility. But do keep in mind, as always, that these are not forecasts. This could have major forex implications for the euro. In China, we look at the potential for enormous gains in consumption-linked stocks as China transitions from an investment to a consumption-focused growth model.
We wax outrageously bullish on sub-Saharan Africa and equally bearish on central banks, who risk having their independence taken away next year. Download PDF It only takes five minutes to submit your application, and you can fund your account quickly and easily via credit card or bank transfer. Get started and trade FX, CFDs, and stocks at industry-leading low prices. Please ensure you understand the risks.
Apple, iPad and iPhone are trademarks of Apple Inc. App Store is a service mark of Apple Inc. China issues CNY-denominated oil futures contract Petro-renminbi surges, USDCNY below 6.
Women take the reins of corporate power Female CEOs at more than 60 Fortune 500 companies. Download PDF A very good, very outrageous year In the US, Trump floundered from one scandal and gaffe to the next, entirely failing to pull any policy levers that impacted markets even as he took personal responsibility for a stellar year in stock markets with record low volatility.
Our website is optimised to be browsed by a system running iOS 9. X and on desktop IE 10 or newer. If you are using an older system or browser, the website may look strange.
To improve your experience on our site, please update your browser or system. Please refer to the appropriate style manual or other sources if you have any questions. Many misinterpreted this to mean an absolute end to the calendar, which tracked time continuously from a date 5,125 years earlier, and doomsday predictions emerged.
In 1992, he published a book, ominously titled 1994. Perhaps his most high-profile predication was for May 21, 2011, a date that he calculated to be exactly 7,000 years after the Biblical flood. When that date passed without incident, he declared his math to be off and pushed back the end of the world to October 21, 2011.
Taiwanese religious leader Hon-Ming Chen established Chen Tao, or True Way, a religious movement that blended elements of Christianity, Buddhism, UFO conspiracy theories, and Taiwanese folk religion. Chen preached that God would appear on U.
The following year, he prophesized, millions of devil spirits, together with massive flooding, would result in a mass extinction of the human population.Create a 'reviewographic' Collect data from customers and turn it into graphs and data sets to show on an Infographic. Here's an example of all the aggregated reviews on Yelp that you could do on a smaller scale: 6.
Create comparison charts Run a poll across your site to get customer feedback and then add this data into a comparison so people can see how you stack up against competitors. A good example is: Anti-Spyware Reviews 7. Add reviews to your website An obvious step, but one that is missed a lot. Link to external reviews from your website I've written reviews before simply because I wanted to get either a tweet or a link from a major company to my own blog and I'm sure I can't be the first person to do this.
Incentivise me In other words, give me your product for free so I can write about it. Free samples I could talk forever about the benefits of free stuff (and usually do).
The more people trying and testing your product the more chance you'll have of reviews. Offer trial versions Likewise if you allow people to test your service for a short amount of time, or let them try a simpler version of your product at a cheaper or freemium price, it gets more people discussing your product.
Contact details For offline products, that can't reach their customers after a sale has been made, make it as easy as possible for customers to get in touch with you.
Referral offers Having people review your product earns you a silver medal, but having people bring you extra sales is the only way to get gold. Get profiles Consider the places your customers would go online to write reviews (or cheat and search for where your competitors have them) and make sure you have a profile on that site.
Snag local profiles Get local listings on Yelp, Qype, Brownbook and more. Stickers Qype, Ciao and other review websites have stickers that brands can display in their store, and badges they can use on websites that ask people to review the product.
Add these where possible, and include them on leaflets and email drops as further review sources. Give me something new Any product without a great USP doesn't really deserve to be talked about. If you create something interesting it naturally encourages debate and reviews. Give me what I want If people ask your company to make changes to a product or service then compile the results and add the most requested features.
If customers feel their input has been acknowledged they are more likely to tell others. And my favourite: 20. Published 10 October, 2011 by Mike Essex Mike Essex is Online Marketing Manager at Koozai Ltd and a contributor to Econsultancy. Email Password Email Email address Your name First name Last name Your work Company Job title Country Please select a country.
Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe Password Receive the Daily Pulse Send me notifications of follow up comments Save or Cancel Nick Stamoulis Allowing consumers to post reviews directly to your site is both good and bad.
Liz Broomfield Good ideas here. Laura Galyer, Marketing Director, EMEA, APAC, South America at Sensus This is a really interesting post Mike.
Kathy Anderson We use the third-party site Ratepoint to collect our reviews. Seeing all of these steps at a glance is helpful. Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe Password Receive the Daily Pulse Send me notifications of follow up comments Save or Cancel Insight delivered directly to your inbox Our market-leading Digital Pulse newsletter is an invaluable source for digital and ecommerce analysis, inspiration and learning.Well, we do a lot of research and statistical analysis taking into consideration the form, the Head to Head, the injury situation of the players on and off the bench, the coaches strategy and a lot more parameters.
Our experts rely on a system we have built overtime that has proven to be reliable and provide consistent results. You are definitely ensured a great service from us at betloy. Our model takes into consideration complex methodological models such as a modified Dixon and Coles model. We do not claim to have all the answers in the field of predictions, but what we do claim is we have the best services. Our customer support is always availaible to assist in whatever problems that may arise.
We have various channels in which we are availaible to assist all our users. Our Facebook page, Email address, Whatsapp number and Livechat are the various platforms you can contact us on if you have any issues you want resolved. Even if you reside in Nigeria. This is to ensure that we are easily accessible from different parts of the continent. Read More Betloy is the best football prediction website in the world. Your ultimate source for Daily Football Predictions, Match Previews and Free Betting Tips through Statistical Analysis from Experts.
Kick-off times mentioned are in UK Time-Zone. Bundesliga Union Berlin vs Dynamo Dresden (12:00) Greuther Fuerth vs FC Heidenheim (12:00) Jahn Regensburg vs Bochum (12:00). Gladbach vs Schalke 04 (17:30). Pauli vs Duisburg (12:30) Sandhausen vs Arminia Bielefeld (12:30) Kaiserslautern vs Ingolstadt (12:30).
Tipify is an army of community tipsters. You can also become a tipster to take part in the new Monthly Free Skins Competition. Find tipsters worth following in the monthly competition leaderboards. Wait for matches with good odds where you or the predictors know the teams.Perhaps in part because of a number of more recent food scandals, however, consumers seemed more concerned with these issues in 2015 than they were before.
When our team first started researching Chinese consumers, nearly ten years ago, many of us were surprised by their fickle attitude toward brands. Fewer than half of consumers tended to stick with their favorite brands, compared, for example, with almost three quarters of US consumers. As we debated this tendency while making our predictions, we wondered if, in the clash between pragmatism and individualism, brand loyalty would stay low, increase, or even decline.
Ultimately, we decided it would increase as the emotional benefits of brands became more important to consumers and as increased choice and availability of branded products (online and off) would allow consumers to optimize for price and convenience without changing choices too often. Our recent research confirmed the changes we anticipated. Consumers are now significantly less likely to buy a brand that is not already among their favorites, continuing the upward trend we observed in 2011 (Exhibit 4).
The modern shopper Our 2011 predictions were bullish on e-commerce, predicting that Chinese consumers would adapt their channel choices even faster than has occurred in developed markets. We estimated that by 2020, online consumer-electronics purchases would jump to 40 percent, from about 10 percent.
More mainstream categories would rise to 15 percent, and some categories, such as groceries (now below 1 percent), could reach about 10 percent. These changes are occurring even as the enduring pragmatism and diligence of the Chinese consumer continue to be in place. Our latest research shows that consumers of all age groups are much more likely to collect information online, even on fast-moving consumer goods, than they were just three years ago.
In 2015, online food and beverages sales (excluding fresh) reached 7. The online share of consumer-electronic purchases, meanwhile, has reached a whopping 39 percent in 2015, and it now looks possible that by 2020 it will be about 50 percent of overall sales. Making predictions may be difficult, especially about the futureas US Baseball Hall of Famer Yogi Berra famously observed.
But they can still provide valuable foresight for executives. Create a profile to get full access to our articles and reports, including those by McKinsey Quarterly and the McKinsey Global Institute, and to subscribe to our newsletters and email alerts. McKinsey Quarterly Our flagship business publication has been defining and informing the senior-management agenda since 1964. McKinsey Academy Our learning programs help organizations accelerate growth by unlocking their people's potential.
What the future of work will mean for jobs, skills, and wages Report - McKinsey Global Institute 2. Five Fifty: Becoming CEO Interactive - McKinsey Quarterly 3. Ten trends redefining enterprise IT infrastructure Article 4. In search of a better stretch target Article 5. How is their behavior evolving. Most Popular Report - McKinsey Global Institute What the future of work will mean for jobs, skills, and wages In an era marked by rapid advances in automation and artificial intelligence, new research assesses the jobs lost and jobs gained under different scenarios through 2030.
Interactive - McKinsey Quarterly Five Fifty: Becoming CEO Article Ten trends redefining enterprise IT infrastructure Article In search of a better stretch target Interactive - McKinsey Quarterly Five Fifty: The front lines of gender inequality Report Remaking the bank for an ecosystem world Sign in Please sign in to print or download this article.So he cooked up another one for this week's game vs.
The second-year defensive lineman was off to a very strong start this year before suffering a broken hand in Week 8 against the Cowboys. He was out of the lineup for the next two games and since then he has been practicing and playing with his left hand in a large, club-like cast. On Thursday, he practiced with less protection on the injured hand, a setup that allowed him to use both of his hands.
Those are important assets when it comes to shedding blocks and making effective pass-rush moves. Just not quite as good as he would without it. With two usable hands, he had 3. Since then, he has played in five games without a sack. Edge rusher Preston Smith had 4. That internal pass rush is hard to replace, quite frankly. Philip Rivers is not a mobile quarterback but he has been sacked only 13 times this year.
If a less-encumbered Ioannidis can pick up his game, Smith and Ryan Kerrigan could disrupt the comfortable pocket in which Rovers has been able to operate. Sign up 10 commits 1 branch 0 releases Fetching contributors Jupyter Notebook 56.
At launch, the platform will cover the four major US sports (Football, Basketball, Baseball, Hockey), Soccer and Tennis. Moreover, the models provide stats to measure the performance of the algorithm for the current season (for each sport) along with bankroll comparaison stats with bookmaker (scraping from the oddsportal's website to do so). Here's below an image from the mobile app propotype based on the platform. This is contrary to another popular method of representing the teams as the favorite and underdog.
The point differential is chosen to be positive when the home team scores more points than the away team. To represent the difference between the two teams that are playing in the matchup, the ratio or the difference between the same attributes are taken between the two teams.
Therefore, when attributes are a positive indicator of performance, a value greater than 1 indicates that the home team performs better for that particular attribute. Examples of this are win streak, compared to statistics such as points per game that would be compared by taking the ratio. Web Scraping The data is scraped from several websites according to each sport using Python and the Selenium and BeautifulSoup (only for MLB data) packages for Python.
Data sources for each sports are described in the "Link" section. Game stat data, team stat data, and datetime data are merge later into a feature file (.
In the same scripts, After having obtained the raw data set, data is cleaned throughout the script. The script checked the completeness and validity of all the data files, and eliminated any CSV parsing errors or erroneous data values. Here is the main idea: Having validated all our available data, the script then proceeded to load the data from the csv files into an SQL database using the SQLite single-file database engine and a few Python scripts.
The flexibility of SQL queries allowed one to easily perform complex joins and merges between multiple tables via the the script. Thus, the script converts the clean scraped data to data structures that the libraries in scikit-learn can easily use.
The ultimate result of the routines included in this file is a numpy array containing all the features and game results for the historical game data.
The features have not been normalized but the next script provide one the ability to easily normalize or standardize the data. Algorithm Tuning and Running This step is located in the "RunModelLeague. A logistic regression predictive model with the L1 penalty is created. Analysis of results are output to csv files. Then, webscraping (through the ScrapeMatchupDatetimeOddsTwoChoicesLeague. Thus, the final output give additionnal detail such as odds for both home and away teams, the choice of the bookmaker (e.Well besides being the most characterful, most artisanal, and most interesting spirit out there, Mezcal is a whole heap of fun.
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Since the launch of the Shell Optimax brand in 2001, the use of premium fuels has grown and they now account for a significant part of European fuel sales in selected markets. Fuel retailers are interested in differentiated fuel offerings.Paladin 5 Hit Combo [3 sec kill] [Classic]
This brief examines the penetration of premium petrol and diesel in key European markets and reviews the major premium fuel providers. An overview of the leading premium fuel brands and their availability, both in terms of site numbers and as a proportion of total company sites.
Premium fuel penetration by market, in volume terms and as a proportion of total petrol and diesel sales. Information on the main promotional activities and marketing campaigns of the key premium fuel retailers. Predictions on the penetration of premium petrol and diesel volumes across selected European fuel markets to 2010.
Although most major oil companies in Europe have a premium fuel offering, the proportion of their service stations selling premium fuel varies.
Oil companies have led focused marketing campaigns to encourage the consumption of premium fuels. Marketers do not use the same message for premium petrol and premium diesel. Environmental protection is the core marketing message of premium diesel promotions whilst improved engine care is the core marketing message of premium petrol promotions.
The penetration of premium fuels varies greatly by market. Measure the availability of premium fuel brands across Europe, both in terms of total site numbers and proportion of company sites. Uncover the core marketing messages and channels used by retailers to promote premium fuels. Learn the extent to which premium petrol and diesel have penetrated the European motor fuel market and relative consumption by market.
Introduction Since the launch of the Shell Optimax brand in 2001, the use of premium fuels has grown and they now account for a significant part of European fuel sales in selected markets. Scope An overview of the leading premium fuel brands and their availability, both in terms of site numbers and as a proportion of total company sites. Highlights Although most major oil companies in Europe have a premium fuel offering, the proportion of their service stations selling premium fuel varies.
Reasons to Purchase Measure the availability of premium fuel brands across Europe, both in terms of total site numbers and proportion of company sites. For years the traditional media and television industries have understood the value of using third party content to complement that which has been produced internally.
Publishers without premium content will be left behind and with the ad blocking bandwagon set to roll into 2016, publishers need to give users additional reasons to love them now more than ever. Understanding what content users are interested in and presenting them with relevant video simply makes sense.
JW player has just announced a unique video recommendation engine and expect to see and hear more of this in 2016. For too long many publishers have bolted irrelevant video onto articles or created video sections or channels that act as dumping grounds for a whole range of video content.