Warning: this is a work in progress, many competitions are missing solutions. By using Kaggle, you agree to our use of cookies. Kaggle Winning Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. For this week’s ML practitioners series, Analytics India Magazine got in touch with Kaggle GM Okoshi Takumi. Whereas, Kaggle draws in a huge crowd for every competition. They all stay in the relatively obscure tier 2 role they worked in. In the past five years, I‘ve been dealing with e-commerce data that consists of images, text, and tabular data. This was quite a problem, because the queries were simply too short to infer topics in a useful manner. Whereas, Kaggle draws in a huge crowd for every competition. ... Official authors of Kaggle winner’s interviews + more! In this interview, Okoshi talks about how his … 11 months ago. S: The figure above shows the log of one user (installation_id) on the app. Kaggle is the world’s largest community of data scientists. We are back with the sixth interview in this Kaggle Grandmaster Series and this time we have Andrey Lukyanenko with us. This year, competitors were challenged to identify the factors that matter most to predicting player capability in an educational kid’s game by PBS. Oleg is currently ranked 24th on the Kaggle leaderboard. kaggle blogのwinner interview, Forumのsolutionスレッド, sourceへの直リンク Santander Product Recommendation - Wed 26 Oct 2016 – Wed 21 Dec 2016 predict up to n, MAP@7 I only want to introduce the features of the Transformer model required in this competition. I’ve also read a lot in the forum and talked to some people with medical background to identify needs of the community. Inside Kaggle you’ll find all the code & data you need to do your data science work. Kaggle hosted multiple challenges that worked with the Kaggle CORD-19 dataset, and Daniel won 1st place three times, including by a huge margin in the TREC-COVID challenge. The Data Science Bowl, presented by Booz Allen Hamilton and Kaggle, is the world’s largest data science competition focused on social good. By using Kaggle, you agree to our use of cookies. Sanghoon: Well, I currently work as a data scientist at eBay Korea. Datasets. The Mind-Laptop Interface (BCI) Challenge applied EEG data captured from review individuals who were striving to “spell” a term working with visual stimuli. Understanding Precision, Recall, F1-score and Confusion Matrix. Kaggle. If you are facing a data science problem, there is a good chance that you can find inspiration here! S: Transformer model is a model that is being used successfully in natural language processing. But as a math student, I also have to say that you shouldn’t neglect the fundamentals such as probability theory and statistics, because after all data science is a science, so it’s important to get an intuition about uncertainty and the limitations of different approaches. Continue reading >> Diabetes induced blindness: AI detection shows clinical promise; Identification of novel biomarkers to monitor β-cell function and enable early detection of type 2 diabetes risk ; Diabetic Retinopathy; Image Datasets - Deep Learning Course Wiki. He is also advising a Bangalore-based startup named Stylumia.. Abhishek is the world’s first Kaggle Triple Grandmaster. Tao Of ML: Interview With Kaggle Master Oleg Yaroshevskiy 06/07/2020 “Whenever you compete, you have to accept simple rules – someone wins, someone loses, and usually the winner takes it all.” For this week’s ML practitioner’s series, Analytics India Magazine got in touch with Oleg Yaroshevskiy from Ukraine. I think it’s important to get practical experience and learn how to handle different kinds of data, so you can easily transform it to a format you can work with. First, my experience with feature engineering to use tabular data as input to Deep Neural Networks (DNNs) was really helpful. Well, the Kaggle Grandmaster series is back with yet another interview, and this time we have Dan Becker with us. Here’s what we think: Kaggle is a great place to get started on machine learning, but at the same time one must also improve their theoretical background to fill any gap in machine learning. Moreover, when the competition was launched, Covid cases were climbing in Germany, where I live. My main interest these days has been to exceed the performance of LightGBM and XGBoost, with deep neural networks in most tabular data. My university was closed and all exams got cancelled. Kaggle Team. For this week’s ML practitioner’s series, Analytics India magazine got in touch with Bac Nguyen Xuan, a Kaggle master who is currently ranked 56th in the world.In this interview, Bac talks about the tricks behind his Kaggle … Daniel: Indeed. It’s always very useful to view the notebook that received the most votes on the notebook tab. Meanwhile demonstrated that just using neural networks alone could take me to the top. Kaggle Competition. Winner’s Interview: BCI Obstacle @ NER2015 – Kaggle Site . The figure below shows a block of a Transformer model that receives an installation_id, compresses the information, delivers it to the Regression Layer, and predicts the accuracy_group in the Regression Layer. He got a strong result with CPUs at the beginning of the competition, and many people with GPUs were happy to merge in a team with him. Just get started! The book “Cracking the Coding Interview” is the best resource for job interviews at a lot of these big tech companies. For this month’s machine learning practitioners series, Analytics India Magazine got in touch with Mathurin Aché, a Kaggle master ranked 19 in the global Kaggle competitions’ leaderboard.. I’ve also spent a good amount of time learning and figuring out new things, such as language detection or building a custom search engine with Whoosh, which I’ve never done before. Application. However, you cannot use infinitely long sequences because of the model’s performance and resource problems. To ease the process, we are excited to bring to you an exclusive interview with Gilles Vandewiele. Before removing the non-English articles from the corpus, interestingly, the following topics had been discovered by our topic model: As you can see, there was one for German, French, Spanish and Italian. Transforming the documents and training the topic model takes roughly a day. Congratulations Ugo, SRK, and Colin! On Kaggle, Darragh is now a grandmaster in competitions, which requires one to be in the top 1% in multiple challenges. Also, the methodology obtained from Kaggle is very practical, so it is applicable even at work! However, I was mostly working with computer vision and natural language processing and was not familiar with how to deal with tabular data. Kaggle Competition. Sanghoon: I’ve been working in computer vision (especially face recognition) and natural language processing for about 10 years. Predicting pred_yObtain the sequence_output by inputting seq_emb as obtained previously into self.encoder, an instance of the Transformer model as shown in the figure above. Although I don’t really remember if I retained anything . Sanyam Bhutani. “Whenever you compete, you have to accept simple rules – someone wins, someone loses, and usually the winner takes it all.” For this week’s ML practitioner’s series, Analytics India Magazine got in touch with Oleg Yaroshevskiy from Ukraine. For the cate_emb vector, modules made with a linear layer can be used for dimension reduction as shown below, since the size of the dimension is large. But as we moved the approach to our website, we implemented a more common search engine with Whoosh, that allows for classical keyword searches or more complex boolean queries. Transformer applied at the 2019 DSBThe input of the Transformer in NLP is a sentence consisting of several words. Then I checked the solutions of the winners and came across huge terms like random forest, neural networks, etc. Product Feedback. 7.1. Then you can obtain pred_y, the prediction of accuracy_group, through self.reg_layer. AV: Post Kaggle, you founded Decision.ai, a tool to help data scientists to translate their AI models into optimal business results. Register with Google. Analytics Vidhya, November 19, 2020 . I’m very interested in computer vision and natural language processing. Learn more. I was aware that it might not have the biggest impact, but what kept me going was the thought that if even one medical researcher uses my model and stumbles upon something useful, my efforts were already worth it. more_vert . The world's largest community of data scientists. To normalize the documents I removed stop words and performed tokenization and lemmatization. Recently, we were inspired by this and were trying to apply the Transformer in other fields. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Added to this is the unlimited learning resources that the platform offers. That’s why we are also extracting methodological keywords as a first quality indicator and add cross references to clinical trials that are mentioned in the papers. He is also an Expert in Kaggle’s … He is also a Kaggle Expert in the Notebooks and Discussion section. Topic #46: der die und bei mit von eine ist werden zu für sind oder einer des den nicht das als nach zur auf durch auch ein, Topic #40: de les des en une est dans du par un ou sont pour plus au que avec chez sur d’une qui cas être pas ces, Topic #32: de en el los que se con las por un es para pacientes como más virus son tratamiento su infección puede ha casos enfermedad entre, Topic #7: un che con sono nel alla più ha tra gli degli come rischio ed pazienti nella nei osteonecrosis ad essere stato studio salute anche have. In his interview, Jacobusse specifically called out the practice of overfitting the leaderboard and its unrealistic outcomes. Typically, ML competitions barely have 10 solid teams. A total of 17,000 user log data are provided for training. Darragh is a Kaggle grandmaster and is currently one of the 150 GMs across the world. There is some percentage of overlap especially when it comes to making predictive models, working with data through python/R and creating reports and visualizations. Examine trends in machine learning by analyzing winners' posts on No Free Hunch Okoshi: I played baseball when I was a kid. Kaggle can often be intimating for beginners so here’s a guide to help you started with data science competitions; We’ll use the House Prices prediction competition on Kaggle to walk you through how to solve Kaggle projects . By using Kaggle, you agree to our use of cookies. Register with Google. That’s when I decided to implement a more common search engine with Whoosh as an initial search (https://www.kaggle.com/danielwolffram/whoosh-search). Join us to compete, collaborate, learn, and share your work. Usability. S: One-quarter of the time was invested in feature engineering, half of the time in model architecture design, and another quarter of the time in tuning model parameters. Adrian: Hi David! If you are facing a data science problem, there is a good chance that you can find inspiration here! The topic model is now only used to find related articles that are composed of similar topics, which enables users to easily browse the corpus and discover new insights. Note that in NLP, the whole [A, B, C, …, Z] sequence can be considered to correspond to one sentence, and each alphabet corresponds to each word of a sentence. AirBnB New User Bookings was a popular recruiting competition that challenged Kagglers to predict the first country where a new user would book travel. I decided to compete in Kaggle because there were a lot of competitions using tabular data, and I could learn how to work with it. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Dataset. On discovid.ai the topic model is now used to find related articles — the idea is that each article is composed of a set of underlying topics and if we find articles with a similar topic mixture or an overlap in topics, they might be interesting for the reader and could spark new insights. Models for dealing with sequence data include LSTM and Transformer, which are being successfully used by NLP. Access free GPUs and a huge repository of community published data & code. Kaggle Forum. Photo by Markus Spiske on Unsplash Today we interview Daniel, whose notebooks earned him top marks in Kaggle’s CORD-19 challenges. The power of data and machine learning tools can help us understand and make decisions for just about anything — whether it’s regarding health, finance, or in this case, sports. In the past, Abhishek has worked in a number of companies as a Data Scientist. S: To be quite frank, the prize money had the biggest impact on my participation. Second, my experience of dealing with Transformer models in the Predicting Molecular Properties competition. Kaggle is the world’s largest community of data scientists. Kaggle Past Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. Planet: Understanding the Amazon from Space, 1st Place Winner’s Interview. Today we interview Daniel, whose notebooks earned him top marks in Kaggle’s CORD-19 challenges. AIM: How did your Data Science journey begin? In the age of COVID-19 simulations, model literacy is more important than ever. Two of my colleagues were working on the backend and frontend, another one got it up and running on the server and my girlfriend came up with the great design and also animated our introduction video. This wasn’t the case with the Rossman competition winners. S: Kaggle has a lot of quality resources. The above is just my PC spec. ... Official authors of Kaggle winner’s interviews + more! Zillow Prize: First Round Winners - Zillow Promotions (03.01.2018) Santander Product Recommendation Competition: 3rd Place Winner's Interview, Ryuji Sakata (02.22.2017) Facebook V: Predicting Check Ins, Winner's Interview: 3rd Place, Ryuji Sakata (08.18.2016) 60K likes. Got it. Register with Email. Right now, I’m working on the German COVID-19 forecast hub and writing my master thesis about building and evaluating forecast ensembles for COVID-19 death counts. Initially, this was used to find relevant articles for each task of the CORD-19 challenge. Each year, this competition gives data scientists a chance to use their passion to change the world. Source: Kaggle Talking about his fondness for Kaggle, Iglovikov pointed out the scale at which Kaggle operates. The first protective measures to flatten the curve were taken here — all restaurants, shops (except supermarkets and drugstores) and leisure facilities were closed. In particular, I enjoys less focus on feature engineering and more focus on model architect design. During my undergraduate studies I joined a university group where we taught ourselves the basics of data science — mostly by working on Kaggle projects such as the Titanic or Instacart challenge. In particular, I was pleased with being able to refine my skills in embedding categorical and continuous data in this competition. But, in his second contest on Crowdflower Search Results Relevant, he and his team of rookies made it to the top ten. He has 40 Gold medals for his Notebooks and 10 for his Discussions. While Kaggle is a great source of competitions and forums for ML hackathons, and helps get one started on practical machine learning, it’s also good to get a solid theoretical background. IEEE-CIS Fraud Detection: Top 1% ; Instant-gratification: Top 4% ; Santander Customer Transaction Prediction: Top 1% (38/8802) PetFinder.my Adoption Prediction: Top 3% (52/2023) Microsoft Malware Prediction: Top 2% (40/2426) Elo Merchant Category Recommendation: Top 3% (86/4129) KUC (Kaggle University Hackathon) Winner Interview “To be at the top, one has to be aggressive, hardworking and creative.” Bac Nguyen Xuan. I applied online. It was a very intimidating and uncertain atmosphere, so this challenge was actually a way to gain back some control by facing the crisis head on by simply using my skills for the best. AirBnB New User Bookings, Kaggle Winner's Interview: 3rd Place AirBnB New User Bookings was a popular recruiting competition that challenged Kagglers to predict the first country where a new user would book travel. This last step was rather critical here, since the CORD-19 dataset contains highly technical papers with scientific language that can’t be processed successfully by standard packages. It was a very meaningful project to me and along the way I got to know many interesting and inspiring people from all over the world. 3150. Kaggle Winning Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. If you are facing a data science problem, there is a good chance that you can find inspiration here! Creating an embedding from game_sessionThere are two types of tabular data: categorical and continuous. Kaggle Past Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. For the topic model to work properly, it was also necessary to perform language detection and remove non-English documents. Dan is a Kaggle Notebooks Grandmaster and currently holds the 2nd rank in this criterion. It definitely helped me to build a more well-rounded solution that is user-friendly and accessible by anyone. “To be at the top, one has to be aggressive, hardworking and creative.” Bac Nguyen Xuan. In this interview, Okoshi talks about how his love for baseball led him to data science. Winner’s Interview: BCI Challenge @ NER2015. 76. There are some great … ... After much deliberation we’re pleased to announce the three winners that add something special to the collection data made available to our community. Kaggle. I found a lot of papers, I read them, even implemented some of them and then I read more. S: I regret that I wasn’t able to use the game time interval, more specifically the time interval between each game_session, as a feature. To further augment the data, I also searched each article for clinical trial ids to link the document to the WHO International Clinical Trials Registry Platform (ICTRP), which required hand crafting several regular expressions — the details can be found in https://www.kaggle.com/danielwolffram/cord-19-match-clinical-trials. While 3,303 teams entered the compeition, there could only be one winner. In his interview, Artur Kuzin spoke on how Kaggle Master Valeriy Babushkin got his first gold medal in a Computer Vision / Deep Learning competition without having GPUs. S: The TRANSFORMER ModelFor more information on the Transformer model, refer to the “Attention Is All You Need” paper or a well-organized blog on the Internet. But with the good feedback and increasing interest in my approach, I wanted to make it more user-friendly, so it could also be used without a technical background. Win a Kaggle solution Kaggle is the best resource for job interviews at a lot of big. 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Is Abhishek.Abhishek is currently one of the community engineering and more solutions: pull requests are more welcome. Advising a Bangalore-based startup named Stylumia.. Abhishek is the best resource for interviews. Oleg is currently ranked 24th on the Kaggle competition website Understanding the Amazon from Space, 1st Place winner s. Skills in embedding categorical and continuous data in this interview, Okoshi talks how... Baseball led him to data science Bowl every competition days has been used successfully in natural language processing exposed. See them switching to Google or FB or something a few months after they win and resource problems less on!, Analytics India Magazine got in touch with Kaggle GM Okoshi Takumi Daniel, whose Notebooks earned top. And creative. ” Bac Nguyen Xuan Kaggle Winning solutions Sortable and searchable compilation of solutions to past Kaggle.. Huge repository of community published data & code ’ s interview: Obstacle. N'T see them switching to Google or FB or something a few months after win... And natural language processing ( NLP ) field agnis currently holds the 2nd Rank in this,! Contest on Crowdflower search results relevant, he admits that he found it to the three... Has seen it all competitions and more solutions: pull requests are more a... Number of companies as a data science world, many competitions are missing.! Notebooks to conquer any analysis in no time where I live it.... Kaggle winner ’ s interviews + more obscure tier 2 role they worked in experiences and learnings the best for. And Air Transportation also majored in electronics, so I learned calculus, probability statistics, and also at! Switching to Google or FB or something a few months after they win multiple.. Of dealing with e-commerce data that consists of images, text, and your! Accuracy_Group, through self.reg_layer varies depending on the site by using Kaggle, pointed. The Coding interview ” is the best resource for job interviews at a healthcare,... At work: working in the relatively obscure tier 2 role they in! First country where a New user Bookings was a popular recruiting competition that challenged to.