- Free dataset worth $1350 to test the accent gap! - Aug 3, 2021.
With so many accent variations, how do speech and voice technologies keep up? In a few words: accented speech training data, representative of diverse groups of people. The more people your model can understand, the more likely you are to acquire and retain customers.
Competition, Dataset, Marketplace, Speech Recognition
- What makes a winning entry in a Machine Learning competition? - May 5, 2021.
So you want to show your grit in a Kaggle-style competition? Many, many others have the same idea, including domain experts and non-experts, and academic and corporate teams. What does it take for your bright ideas and skills to come out on top of thousands of competitors?
Challenge, Competition, Kaggle, Machine Learning, PyTorch, TensorFlow
- International alternatives to Kaggle for Data Science / Machine Learning competitions - Sep 29, 2020.
While Kaggle might be the most well-known, go-to data science competition platform to test your skills at model building and performance, additional regional platforms are available around the world that offer even more opportunities to learn... and win.
Competition, Data Science, Kaggle, Machine Learning
- Lessons From My First Kaggle Competition - Sep 14, 2020.
How I chose my first Kaggle competition to enter and what I learned from doing it.
Competition, Data Science, Kaggle
- My secret sauce to be in top 2% of a Kaggle competition - Nov 26, 2018.
A collection of top tips on ways to explore features and build better machine learning models, including feature engineering, identifying noisy features, leakage detection, model monitoring, and more.
Competition, Data Science, Kaggle
- To Kaggle Or Not - May 2, 2018.
Kaggle is the most well known competition platform for predictive modeling and analytics. This article looks into the different aspects of Kaggle and the benefits it can bring to data scientists.
Advice, Competition, Data Science, Kaggle
- TPOT Automated Machine Learning Competition: Can AutoML beat humans on Kaggle? - Jun 5, 2017.
Over the next couple months, we’re going to challenge you to apply TPOT to any data science problem you find interesting on Kaggle. If your entry ranks in the top 25% of the leaderboard on a Kaggle problem, we want to see how TPOT helped you accomplish that.
Automated Data Science, Automated Machine Learning, Competition, Machine Learning
- How to Rank 10% in Your First Kaggle Competition - Nov 9, 2016.
This post presents a pathway to achieving success in Kaggle competitions as a beginner. The path generalizes beyond competitions, however. Read on for insight into succeeding while approaching any data science project.
Pages: 1 2 3 4
Beginners, Competition, Data Science, Kaggle, Machine Learning, Python
Automated Data Science & Machine Learning: An Interview with the Auto-sklearn Team - Oct 4, 2016.
This is an interview with the authors of the recent winning KDnuggets Automated Data Science and Machine Learning blog contest entry, which provided an overview of the Auto-sklearn project. Learn more about the authors, the project, and automated data science.
Automated, Automated Data Science, Automated Machine Learning, Competition, Machine Learning, scikit-learn
- Contest Winner: Winning the AutoML Challenge with Auto-sklearn - Aug 5, 2016.
This post is the first place prize recipient in the recent KDnuggets blog contest. Auto-sklearn is an open-source Python tool that automatically determines effective machine learning pipelines for classification and regression datasets. It is built around the successful scikit-learn library and won the recent AutoML challenge.
Automated, Automated Data Science, Automated Machine Learning, Competition, Hyperparameter, scikit-learn, Weka
- TalkingData Data Science Competition: understand mobile users - Jul 12, 2016.
Unique opportunity to solve complex real world big data challenges for the China mobile market - predict users demographic characteristics based on their app usage, geolocation, and mobile device properties.
China, Competition, Kaggle, Mobile, TalkingData, Turi
- The Data Science Game – Student Competition - Mar 17, 2016.
The Data Science Game returns this year, with university students competing for dominance. Details for this iteration and further information is provided here.
Competition, Data Science, France, Kaggle, Paris, Student Competition
- Anthony Goldbloom gives you the Secret to winning Kaggle competitions - Jan 20, 2016.
Kaggle CEO shares insights on best approaches to win Kaggle competitions, along with a brief explanation of how Kaggle competitions work.
Anthony Goldbloom, Competition, Deep Learning, Feature Engineering, Kaggle, Neural Networks, Success
- Lessons from 2 Million Machine Learning Models on Kaggle - Dec 24, 2015.
Lessons from Kaggle competitions, including why XG Boosting is the top method for structured problems, Neural Networks and deep learning dominate unstructured problems (visuals, text, sound), and 2 types of problems for which Kaggle is suitable.
Anthony Goldbloom, Boosting, Competition, Feature Engineering, Kaggle
- Aspect Based Sentiment Analysis Competition - Oct 13, 2015.
SemEval is back and so is the Aspect Based Sentiment Analysis (ABSA) competition, which has gone multilingual for ABSA16. Get all of the details below.
Competition, Sentiment Analysis
- Using Ensembles in Kaggle Data Science Competitions- Part 3 - Jun 27, 2015.
Earlier, we showed how to create stacked ensembles with stacked generalization and out-of-fold predictions. Now we'll learn how to implement various stacking techniques.
Competition, Data blending, Kaggle, Logistic Regression, Predictive Models
- Using Ensembles in Kaggle Data Science Competitions – Part 2 - Jun 26, 2015.
Aspiring to be a Top Kaggler? Learn more methods like Stacking & Blending. In the previous post we discussed about ensembling models by ways of weighing, averaging and ranks. There is much more to explore in Part-2!
Competition, Data blending, Data Science, Kaggle, Netflix
- How to Lead a Data Science Contest without Reading the Data - May 17, 2015.
We examine a “wacky” boosting method that lets you climb the public leaderboard without even looking at the data . But there is a catch, so read on before trying to win Kaggle competitions with this approach.
Accuracy, Benchmark, Competition, Kaggle, Model Performance
- PAN Competition 2015: Plagiarism Detection, Author ID, Author Profiling - Jan 8, 2015.
Take part in one of 3 tasks: Plagiarism Detection - given a document, is it an original? Author Identification - given a document, who wrote it? Author Profiling - given a document, what is author age / gender?
Author Detection, Author Profiling, Competition, Plagiarism Detection
- Interview: Brian Hampton, San Francisco 49ers on Playing Football the Analytics Way - Dec 19, 2014.
We discuss the role of analytics in football, the underrated challenges, evolution since the era of draft trade value chart and analytics-supported team selection.
Analytics, Brian Hampton, Challenges, Coaching, Competition, Football, NFL, Sports, Team
- To Hire Quants, Fix Your Hiring Process - Nov 7, 2014.
Hiring talented quants requires an up-to-date hiring process including components like competitive salaries, special bonuses, expedient timelines, and that extra special touch to make your company stand out to quality candidates.
Analytics Team, Burtch Works, Competition, Hiring, Salary
- DrivenData: Data Science Competitions for Social Good - Nov 4, 2014.
DrivenData plans to bring cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on.
Competition, Crowdsourcing, Data Science, DrivenData, Nonprofit, Social Good
- Predict Soccer World Cup 2014 Winner, Get Prizes from RapidMiner - May 16, 2014.
Use a free edition of RapidMiner to have fun and bring sports predictions to another level by making a prediction of Soccer (Futbol) World Cup 2014, which starts on June 12 in Brazil.
Boston-MA, Brazil, Competition, RapidMiner, Soccer, World Cup
- Deep Learning Wins Dogs vs Cats competition on Kaggle - Feb 5, 2014.
A Deep learning expert wins Kaggle Dogs vs Cats image competition with an almost perfect result.
Cats, Competition, convnet, Deep Learning, Dogs, Facebook, Kaggle
- PAN Competition: Plagiarism Detection, Author Identification, Author Profiling - Jan 15, 2014.
Take part in one of 3 tasks: Plagiarism Detection - given a document, is it an original? Author Identification - given a document, who wrote it? Author Profiling - given a document, what is author age / gender?
Author Detection, Author Profiling, Competition, Plagiarism Detection
