United States GP 2018 ?>

United States GP 2018

Lewis Hamilton could clinch the title in the United States grand prix this weekend if he outscores Vettel by eight points. Anyway, it is now a matter of when, not if – despite Mercedes’ Toto Wolff saying the opposite. In COTA, both drivers have won but Lewis has taken by far more wins than Seb. A fun fact is that all races in this circuit have been won from the front row of the grid.

Japanese GP 2018 ?>

Japanese GP 2018

The biggest news coming into the Japanese GP were about Raikkonen’s haikus. In case you don’t know what they are (like I did), please have a look at the link. Joking aside, Lewis Hamilton and Mercedes have played well the team game called ‘F1’ and are on their way to winning both championships again.

Russian GP 2018 ?>

Russian GP 2018

Russian GP started with the announcement that Antonio Giovinazzi will replace Ericsson in Sauber next season and will partner Kimi Raikkonen. Tomorrow Torro Rosso is also expected to present Daniil Kvyat as one of its drivers for next year while Brendon’s future is uncertain. Besides all this, the battle for the driver’s championship is still on. If Vettel wins all remainining races, he still gets the title.

Singapore GP 2018 ?>

Singapore GP 2018

The big news this week is that Kimi Raikkonen is moving to Sauber with a 2-year contract and Leclerc is taking his position in Ferrari for the next season. Although the move for Kimi was unexpected, it’s been rumored that he has bought part of the Sauber team; after all, it’s the team he started in F1 with and it’s base is right next to his home in Switzerland. It’s a smart move from Ferrari who want to have a…

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Formula One 2 Vec ?>

Formula One 2 Vec

You know what is the most geeky way to ‘prove’ that Alonso is the best F1 driver ever? It is Neural Embeddings! In this post I will try to give an intuitive explanation of what neural embeddings are, how they can be calculated and show some examples of how they capture semantic information about the objects they represent. In the end of this post, you will understand how all this relates to Alonso’s driving skills.

Italian GP 2018 ?>

Italian GP 2018

Monza, the temple of speed, is the next destination of F1; a place where Ferrari has not tasted the home win since Alonso took the victory in 2010. The latest engine upgrade showed some impressive signs and the Prancing Horse is hoping to capitalize on that in front of thousands of tifosi.

Belgian GP 2018 ?>

Belgian GP 2018

After the log summer break, F1 is heading to Belgium and Spa Francorchamps where Vettel will be hoping to close down the points difference in the drivers championship. In the meantime, the F1 driver market has gone crazy after the unexpected move from Ricciardo to Renault next year and Alonso deciding to retire from F1 and find new challenges in other series. This has lead to McLaren signing Sainz and Gasly being promoted to Red Bull. Lots of positions are…

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Hungarian GP 2018 ?>

Hungarian GP 2018

Lewis Hamilton is once again leading the world championship after Vettel’s crash in the rainy Hockenheim. Seb must win more points than his title rival if he wants to stay in contention of the drivers championship. However, the upcoming GP is held on the narrow and twisty Hungaroring; a circuit where the Red Bulls are expected to have the advantage just like they did in Monaco earlier this season.

German GP 2018 ?>

German GP 2018

This season is crossing its middle point as F1 heads to Germany which holds the 11th out of the 21 Grand Prix this year. The first-ever, and probably last, triple-header has been completed with Ferrari and Vettel being the winners. Hamilton is hoping to close the 8-point gap to Vettel while Bottas needs to finally get a break and start winning some good points.

Building an F1 prediction engine – Predictive Modelling Part I ?>

Building an F1 prediction engine – Predictive Modelling Part I

In the previous series of posts I discussed and explained the steps involved in Feature Engineering. In this series, I will talk about the coolest part of applied ML; the Predictive Modelling phase. This is where you get to use all the ‘magic’ power of machine learning algorithms and see the performance of any models you build. In this post I’ll start by showing the most common evaluation metrics and then reveal the custom evaluation metric I use for assessing…

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