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As part of the Max Planck Society, we offer our scientists a unique infrastructure: state-of-the-art laboratories with first-class equipment, custom-made pieces from our own precision mechanical workshop, and an outstanding technical and administrative support. This excellent funding pays off: MPQ researchers publish around publications per year, many of them in the highest-ranking journals like Science and Nature.

Training young scientists is at the core of our work at MPQ. Our Ph. Candidates and Postdocs receive comprehensive and profound supervision so that many job opportunities in academia and industry arise for them after leaving the institute.

We also strive to inspire and engage the general public for quantum optics, starting with the very young who can conduct quantum physical experiments in the PhotonLab, our student laboratory at MPQ.

For all others, we regularly organize public events with popular science talks and lab tours.

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Our top ranking in the field is owed to the people working at MPQ. We are fortunate to be able to attract the best researchers from all over the world.

At the moment, scientists from close to 40 different nations are working at the institute. Treating each other with respect is just as important to us as making sure that everyone who works here feels comfortable. Quantum physics represents one of the major scientific revelations of the 20 th century. It allows us to observe phenomena that often seem puzzling and counterintuitive to our experience of nature and the universe, phenomena that show us the boundaries of our knowledge.

With our fundamental research, we push those boundaries further and further and open the gates to a new and uncharted territory of physics. One that holds the potential to change and shape our world, our knowledge, and our technologies forever. Currently, there are five different fields established at MPQ.

Garching is in close connection to Munich, a city with a longstanding and rich culture, the Bavarian lake district and the alps. All with a high recreational value. Also scientifically we are at the heart of an excellent environment: locally, we maintain close ties with the elite universities LMU and TU Munich, and internationally to more distant excellence institutions like Harvard or Princeton.

Furthermore, outstanding scientists from all over the globe visit us as guests and speakers on a daily basis.

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Our eyes are sensitive to only three spectral color bands red, green, blueand we can no longer distinguish colors if it becomes very dark. Spectroscopists can identify many more colors by the frequencies of the light waves, so that they can distinguish atoms and molecules by their spectral fingerprints. Scientists have now recorded broad spectra with close to one hundred thousand colors in almost complete darkness.

We remember Prof. Peter Toschek, who died in Hamburg on June 25,at the age of Physicists at the MPQ have engineered the lightest optical mirror imaginable. The novel metamaterial is made of a single structured layer consisting only of a few hundred identical atoms arranged in the two dimensional array of an optical lattice formed by interfering laser beams. So far, the mirror is the only one of its kind.

CEST live on Youtube. A platform for knowledge, interesting facts and science on the topic of light. Our task to train and teach Training young scientists is at the core of our work at MPQ.

Genius, diverse and likeable Our top ranking in the field is owed to the people working at MPQ. Gates to uncharted territory Quantum physics represents one of the major scientific revelations of the 20 th century. News from the Institute. Not all cats are grey in the dark! October 19, In memory of Peter Toschek July 27, Awards News from the Institute.

All News. Lasers Light Life - Exhibition reopened August 12, Log in or Sign up. Are you planning to upload your awesome tool to Hive? Please review the rules here. July 9, : The rules for the Tool Section have been revised. Please be sure to read the revisions. Head to the 33rd Modeling Contest Poll and drink to your heart's desire. Choose your means of doom in the 17th Mini Mapping Contest Poll.

A slave to two rhythms, the 22nd Terraining Contest is here. The heavens smile on the old faithful. The 16th Techtree Contest has begun. The die is cast - the 6th Melee Mapping Contest results have been announced. Onward to the Hive Cup!

The glory of the 20th Icon Contest is yours for the taking! Check out the Staff job openings thread. Dismiss Notice 60, passwords have been reset on July 8, If you cannot login, read this.

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Cokemonkey11 Jun 21, Portsmouth are six points behind Charlton heading into the weekend, with the Addicks currently occupying the final play-off place, and will be desperate to win to start closing that gap. Charlton's form has dipped a little of late, with just one victory in their last four, and will hope to get back to winning ways here to get back towards the automatic promotion spots.

And I think they'll do just that. Only goal difference separates these two sides at the top, albeit a lot of goals as Luton have scored 48 and Notts County 35. Both sides will want to win to lay down a marker and both managers will send their sides out to win the game. I'm backing goals here, and a narrow home victory. Enter your selections for free here. Theme: ColorMag by ThemeGrill. At Coral, we keep an eye on pretty much all global sporting events including football, horse racing, tennis and golf.

Sit back, relax and browse through information, analysis, tips and predictions from the ultimate experts (or tipsters as we like to call them). Plus, the best Irish horse racing betting tips. Place your bets now. Online Betting, Online Casino, and Online Gaming Coral. For customers accessing Coral. Read match para 22 pdf, team news, betting tips and predictions including the latest betting stats.

Our matched betting tips provide the latest team news with details of injuries and suspensions plus predictions on how the competitors will line up.

No betting preview is complete without odds and our matched betting tips include the best odds to help you find the best value for money. Matched betting tips are thoroughly researched to provide the most important stats, helping you make informed betting predictions. Past results, goals records and goalscorer information will help identify the best time to play matched betting offers and they are equally useful for those who prefer a straightforward punt.

Bookmakers are constantly promoting offers on major sporting events and many can be used to make money by matched betting. Match previews contain stats and team news to help identify which markets to play and which selections to use.

We have links and reviews for all UK licensed betting sites and can teach you how to make money from welcome offers and those aimed at existing customers too. Reading v Cardiff City matched betting tips, read the match preview for the Championship match at the Madejski Stadium on Monday 11th December. Man United v Man City matched betting tips, read the match preview for the Premier League clash at Old Trafford on Sunday 10th December.

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You could also try Googling your name to see if wins appear. Always read all emails carefully, as winning notifications often don't have obvious subject lines. And don't forget to post on the I won. To help sort 'you're a winner' messages from spam, set up rules to automatically filter winning emails into a special folder.

These emails often feature the words 'congratulations', 'won' or 'winner', so automatically move messages with these words in the body or subject line into a competition wins folder. This option's usually found under Edit, Options or Tools on your email account's menu bar.

Also, check spam folders in case a vital communication's slipped through. So many prize wins could be missed by not checking your spam folder on a regular basis. Your spam folder clears after a certain amount of time (depending on your email provider), so check frequently. On Facebook, you'll need to check your spam folder for private messages, as companies sometimes use these to contact you about winning a prize.

In your messages, go to the 'message requests' folder, then click 'filtered requests'. As an example, scores of applicants fight to appear on the likes of Deal Or No Deal and Catchphrase, yet newer shows can struggle to find contestants. MSE Jordon's TV Game Shows blog lists 15 shows to apply for now and how to boost your chances of getting picked. Some promoters say you must reply within a certain amount of time or they'll withdraw the prize. Reply on time to avoid the heartbreaking scenario of missing out on a big prize.

It's worth keeping a list of prizes you've won, in case they don't materialise. If a prize doesn't arrive or it does but it's faulty, first politely prompt the company (contact details should be in the terms and conditions). If you get an unsatisfactory reply or hear nothing, get in touch with the Advertising Standards Authority. All advertising and marketing must follow a code of conduct called the CAP Code which sets out how competitions and promotions have to be run.

If you think a competition has failed to meet these rules, check the ASA's website to see if your complaint falls under its powers and make a formal complaint. The competitions board is a community, and etiquette dictates you post your own finds, as well as looking at the ones already posted. It's unscientifically believed that posting your own comps increases your chances of winning.The main point appears to be look to the skies, in more ways than one.

Travel and time zone factors are also a huge consideration. For exampleif the 49ers are playing a 1pm game in the Eastern Time Zone, their bodies are on a 9am time clock and this is generally worth about 2pts to the home team. Brad Allen: I like the weather angles. Wind is a big one that is underrated by the market. Per a 2014 study, wind speeds of 10 mph are estimated to reduce quarterback ratings by 1. According to Pinnacle research, in the 50 games in recent years when average wind speed was 20 mph or greater, the average total was 38.

Wind makes passing the ball so much harder and therefore sends points totals lower, whereas snow actually slows down defensive players as much as offensive ones and sometimes markets overreact. People see snow and bet the under to a point where the line sometimes moves far enough that taking a contrarian view can be the right long term play. Neil Channing: I like quirky angles like betting against teams that have been involved in big games, or those that have gone into overtime or if they have played Thursday and then need to play again on the Monday.

I also like to oppose teams after big breaks. By the same token the game before teams travel to London seems to have a psychological impact and I love to look at all those more subtle factors. One interesting one is to bet against teams who play at home at Thanksgiving. It sounds counterintuitive, but those on the road are away from family and can just focus on the game. Nick Goff: Long weeks and short weeks are the first thing for me. American Football is more physically testing than most other mainstream sports.

If you play in the Thursday night game you have four days extra rest for your next game than the teams who play Monday night. Jesse May: I always try and discern where the public money might go. It usually happens with quarterbacks. The more they talk about Tom Brady, the more you need to be laying the Patriots. So there you have it folks, the experts have spoken.It can take values from 0 to 60.

If the period is set to 1, there is no seasonality. If the period is 0, or not given, BigML will automatically learn the period in your data.

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

Thus when retrieving a timeseries, 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.

To update a time series, you need to PUT an object containing the fields that you want to update to the time series' base URL. Once you delete a time series, it is permanently deleted. If you try to delete a time series a second time, or a time series that does not exist, you will receive a "404 not found" response. However, if you try to delete a time series that is being used at the moment, then BigML.

To list all the time series, you can use the timeseries base URL. By default, only the 20 most recent time series will be returned. You can get your list of time series directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your time series.

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Deepnets Last Updated: Monday, 2017-10-30 10:31 A deepnet in BigML is a supervised learning method to solve classification and regression problems. Deepnets are an optimized version of Deep Neural Networks, a class of machine-learned models inspired by the neural circuitry of the human brain.Topics such as NHST, p-value and effect size are covered in detail.

Analysis of Variance is probably one of the most popular and most common used statistical procedures. In this module, professor Conway will cover the essentials of Analysis of Variance such as one-way between groups ANOVA, post-hoc tests, and repeated measures ANOVA. The fourth module focuses on within-groups comparisons and repeated measures design. Beginner Statistics A Hands-on Introduction to Statistics with R Start Course For Free Taught by: Andrew Conway Andrew Conway is a Psychology Professor in the Division of Behavioral and Organizational Sciences at Claremont Graduate University in Claremont, California.

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Play Course Now Course Four: Repeated Measures Anova The fourth module focuses on within-groups comparisons and repeated measures design. Play Course Now DataCamp Create free account Sign-in About Pricing Press Jobs Resources View All Courses Community DataCamp for Groups Become a Teacher R Fiddle RDocumentation Support Contact Us Terms of Use Privacy Policy.

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