Data Science Competition Platform

For either case, a data science competition platform can help. Data science competitions help organizations solve complex business problems while enabling data scientists to learn from the experience and win awards. Organizations need to define the problem, provide data and put a prize on the challenge. Competing data scientists build and.

Data science competition platform. Zindi is a data science competition platform with the mission of building the data science ecosystem in Africa. Zindi hosts a community of data scientists dedicated to solving the continent's most pressing problems through machine learning and artificial intelligence. 14th August, Cape Town, South Africa – Ixio Analytics is pleased to announce the launch of Zindi, a data science competition platform on 9 September 2018 at AI Expo Africa.Zindi provides a central platform for a community of mostly African data scientists to convene, collaborate, and compete to solve the continent’s most pressing challenges. A data science platform can change the way you work. It’s more than just a tool, it’s a way to wrangle data and turn every member of your team into a high performing unit, capable of pivoting and scaling without missing a beat. The right one is transformative to your work. Which platform is the right one for you and your team? Data scientists from more than 90 countries around the world drew on 300,000 video clips in a competition to build the best machine learning models for identifying wildlife from camera trap footage. The results are powerful and – equally important …

Primarily a data science competition platform, Zindi is launching zindi.africa/jobs in response to a clear need from organisations operating in Africa. Many of the companies Zindi works with have. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time. TOP COMPANIES IN THE DATA SCIENCE PLATFORM MARKET. Competition in the global market for data science platforms is moderate. With the advent of new data science innovations, vendors either improve. In the past these competitions were hosted on Kaggle which has become synonymous to data science competitions. But Alibaba team, for obvious reasons, chose Tianchi platform to host 2017’s competition. But it feels that the platform is not ready and missing lot of pieces. Participants are having difficulty in downloading the datasets.

Let’s Promote ASEAN Culture & Heritage Through Data Science. A data science competition based on the Future Ready ASEAN platform’s Data Wizard track. Theme & Submission. Let’s use data science to understand and promote ASEAN culture and heritage. This includes historical aspects of art, culture, dance, music and theatre. Zindi is a data science competition platform with the mission of building the data science ecosystem in Africa. Zindi hosts a community of data scientists dedicated to solving the continent's most pressing problems through machine learning and artificial intelligence. A data science competition platform is used by businesses to host data science challenges that are hard to solve for one group. Historically, crowdsourcing challenges have been known to solve very complex problems. The Netflix Prize is one such competition. Since then there have been several platforms developed on the idea of data science competitions. Research has been completed on how. A local tech startup synonymous as the first data science competition platform in Africa, Zindi, has launched a new recruitment platform. Aimed at connecting various organisations with Africa’s data science talent, the new platform will match the right talent for the ideal job.

Countdowns to popular Data Science Competitions deadlines. Note: In this competition, participants will focus on the students' answer records to these multiple-choice diagnostic questions, with the aim of 1) accurately predicting which answers the students provide; 2) accurately predicting which questions have high quality; and 3) determining a personalized sequence of questions for each. What is a competition? This is a way to collectively solve a real business task using gamification techniques and find the best solution in a short time. This is an opportunity to dive into the subject area and understand how the business task is translated into the language of applied mathematics. NNSA is hosting a competition to find innovative algorithms to detect non-natural radiation sources in urban environments, and they've teamed up with researchers in Berkeley Lab’s Computational Research, Nuclear Science and Information Technology divisions to build a Kaggle-inspired data analytics competition platform to host it. Kaggle is a well-known platform for Data Science competitions.It is an online community of more than 1,000,00 registered users consisting of both novice and experts. However, apart from Kaggle, there are other Data Mining Competition Platforms worth knowing and exploring.

Local data science competition platform Zindi has introduced a new recruitment platform to help organisations around the world find the data science talent they need. Zindi was launched in. Analytics, Data Mining Competition Platforms. Kaggle, the leading platform for data prediction competitions CrowdANALYTIX, converts business challenges into analytics competitions DrivenData: Data Science Competitions for Social Good; Innocentive, mainly focusing on life sciences, but has other interesting competitions "The Global Data Science Platform Market is expected to grow at a CAGR of 39.7% during the forecast period.". - Competition situation of Data Science Platform Market Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

We organize online Datathons, monthly challenges, digital meetups, webinars, workshops, summer schools, and many other events. At the Data.Platform there are more than 2500 registered like-minded Data Science enthusiasts from 50 plus countries willing to experiment with data, learn and share their experience.