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Here is the problem. The North Pole is in an uproar over news that Santa’s magic sleigh has been stolen. Able to carry all the world’s presents in one trip, it was considered crucial to successfully delivering holiday goodies across the globe in one night. Unwilling to cancel Christmas, Santa is determined to deliver toys to all the good girls and boys using his day-to-day, magic-less sleigh. With so little time to pull off this plan, Santa is once again counting on Kagglers to help. Given the sleigh’s antiquated, weight-limited specifications, your challenge is to optimize the routes and loads Santa will take to and from the North Pole. And don’t forget about Dasher, Dancer, Prancer, and Vixen; Santa is adamant that the best solutions will minimize the toll of this hectic night on his reindeer friends. This VRP is large, very large: Moreover, the objective function of this VRP is very complicated, highly nonlinear, based on the Harversine distance. Based on the following simple line LSP model, Julien was able to obtain near-optimal results after a few hours of work only.

使用TensorFlow,Kafka和MemSQL進行實時機器學習

Bruce Ismay , and the American financier J. The White Star Line faced an increasing challenge from its main rivals Cunard , which had recently launched the Lusitania and the Mauretania —the fastest passenger ships then in service—and the German lines Hamburg America and Norddeutscher Lloyd. Ismay preferred to compete on size rather than speed and proposed to commission a new class of liners that would be larger than anything that had gone before as well as being the last word in comfort and luxury.

Teutonic was replaced by Olympic while Majestic was replaced by Titanic. Majestic would be brought back into her old spot on White Star’s New York service after Titanic’s loss.

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Petro September 14, at These days there seems to be at least one implementation of that idea—bountysource. Anything you can write a clear acceptance criteria for that one or more people want. Since this project was derived from research on existing crowdfunding platforms such as Kickstarter, I already had the sense that in principle nearly anything goes.

I was thinking about what would happen if proposals could be linked in some way such that users could allow an incentive pool or some part thereof to be offered to whoever finished any one of the related projects. For example, if one backer wanted a utility knife with certain functions, a second backer wanted one with similar but not identical functions, and a third backer felt that either of these projects would satisfy their need.

Would that have implementation challenges? This can either lead to efforts spent on metagaming, or to general frustration, in arbitrary combinations. In your model users do not know the timeframe. Will it be precommitment to selected date? Can commitment be extended?

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The film shows a time span of this little boy growing into a young adult, by displaying milestones in both his real life and his imaginary world. To find out more about this mystery woman he decides to stalk her all in the name of research. But then the girl goes missing and events spiral out of control from there. Valentine’s day is fast approaching and those who are in a relationship might start thinking about plans.

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Journal of Applied Psychology, the solution moves to the next stage in the process. In response to Kylee Herricks comment about Pirates of Penzance. Discrepancies and Emotional Vulnerability: How Magnitude, original chassis has been replaced by a Spyder chassis with full rose jointed adjustable suspension. Easily clip, save and share what you find with family and friends. Easily download and save what you find.

Kaggle Planet Competition: How to land in top 4%

Virtual Beijing via ParallelEye: The researchers carry out some basic testing of ParallelEye by creating synthetic cameras meant to be like those mounted on self-driving cars or in large-scale surveillance systems, then testing usability around this. They leave the application of actual AI techniques to the dataset for future research. Technical projects have emerged to help developers transfer models built in one framework into another, either via direct transfer mechanisms or through meta-abstractions like ONNX.

Speed dating kaggle. Sightings of UFOs appear to be on the rise, and now an interactive map can reveal whether aliens have been seen in your area.

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Dimensionality Reduction , by Jake VanderPlas Before moving on to the final step, we can take a moment to consider that we have come a long way in a relatively short period of time. Using Python and its machine learning libraries, we have covered some of the most common and well-known machine learning algorithms k-nearest neighbors, k-means clustering, support vector machines , investigated a powerful ensemble technique random forests , and examined some additional machine learning support tasks dimensionality reduction, model validation techniques.

Along with some foundational machine learning skills, we have started filling a useful toolkit for ourselves. We will add one more in-demand tool to that kit before wrapping up.

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Can we get medicine on the same ever-lowering price curves as technology. Funny stories of my quest to figure out where silicon will change medicine. January 08, https: Tech stocks have taken off this year like a bat out of hell. This market is dominated by investors suffering from split personality disorder, rotating between risk-on and risk-off modes.

Today the market is definitely risk on. Spotify has done a confidential filing for a direct listing on the New York Stock Exchange. Fed-driven low interest rates mean investors are begging for things to buy. Calpers just raised its equity allocation, more as a magic wand to stave off municipalities actually kicking in more dough. But no matter, they need stock.

As they say on Wall Street, when the ducks are quacking, feed them. Where are all the IPOs? Only public markets can judge whether these valuations are right.

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They should run convnets on pictures on the subjects, would be much more accurate, I’m sure. Speed dating is a first impressions thing. Physical attractiveness is huge, I’m sure. I don’t know if the convnet would have time to learn what attractiveness means, but that’s more of a technical albeit important detail. Meta learning including transfer learning and more data could help a lot with this thanatropism on Aug 31, But we don’t see in the same way photographic cameras see.

The speed dating information includes assigning priority points across six traits: attractiveness, intelligence, fun, shared interests, sincerity, and ambition.

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In this course, Play by Play: Machine Learning Exposed, James Weaver and Katharine Beaumont will start with the basics, and build up in an approachable way to some of the most interesting techniques machine learning has to offer. By the end of this course, you’ll get an overview of what you can achieve, as well as an intuition on the maths behind machine learning.

About the author Katharine Beaumont About the author Katharine is a software developer, consultant and international conference speaker with a passion for learning:

Mini project Analysis of a Speed Dating Experiment dataset with R, Gephi and Neo4j colinleverger [at] gmail [dot] com Colin Leverger – Roskilde Universitet, Informatics.

Our data is ready. Only important snippet of code shown in this blogpost, full notebook is available here. If you read the evaluation criteria of the competition, you will know it is based on f2 score. We will be using pre-trained implementation of Deep Residual model renet34 which was made public by Microsoft. It determines how fast or slow the model will learn. If LR is too high, model will try to learn too fast and loss function will not converge.

If LR is very too low the model will take too long to converge. Finding a good learning rate using fastai library is very easy, just run the following two lines of code.

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Check out our top 10 list below and follow our links to read our full in-depth review of each speed dating website, alongside which you’ll find costs and features lists, user reviews and videos to help you make the right choice. This website allows you to create a profile, and then based on your preferences it sets you up on short minute online dates. You talk, and if you like each other SpeedDater SpeedDater offers its members two services: The second option, live events, allows you to go along to venues and meet people in the flesh.

In a busy city, it can be hard to get to know someone, let alone even just get talking in a bar.

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CS109 Final Project – Are we rich yet?