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Kaggle
Kaggle is a data science platform that provides a wide range of services to users. It hosts online competitions to foster the development of innovative data science solutions. It also provides a wide range of datasets and tools for data scientists to explore and use. Kaggle also has forums, blogs, and tutorials to help people learn data science and build data-driven solutions. It also offers public and private datasets for users to explore and gain insights from. Kaggle also has a job board for data science professionals, and a directory of data science related companies. It is a great place for data scientists and beginners alike to learn, collaborate, and find the best data solutions.
It takes patience, hard work, and constant practice. The brightest minds in data science are brought together on this platform, so the competition is fierce.medium.comKaggle is one of the most popular platforms for data scientists to hone their skills, forge great reputations, and possibly get paid. However, becoming successful on Kaggle isn’t so easy.
Onsite live Kaggle trainings in the US can be carried out locally on customer premises or in NobleProg corporate training centers.nobleprog.comKaggle training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop.
Collections are organized according to disease (such as lung cancer), image modality (such as MRI or CT), or research focus Go to File ==> New ==> Rscript Go to File ==> New ==> Rscript.zua.publicspeaking.pr.itOn Kaggle, kernels are basically the source code for analyzing data sets and developers can share this code on the platform (the company previously called them “scripts”) .
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EncryptedSite is Encrypted
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CountryHosted in United States
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CityKansas City, Missouri
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Latitude\Longitude39.1027 / -94.5778 Google Map
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Traffic rank#3,027 Site Rank
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Site age15 yrs old
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Site Owner informationWhois info
Website is Safe
Site is not blacklisted
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FoundedApril 2010
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FounderAnthony Goldbloom,, Ben
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HeadquartersSan Francisco, United States
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Key peopleAnthony Goldbloom,Ben Hamner,Jeff Moser
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ParentGoogle,(2017–present)
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ProductsCompetitions, Kaggle Kernels, Kaggle Datasets, Kaggle Learn
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TypeSubsidiary
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IndustryData science
Traffic rank
#3,027
#3,027
Site age
15 yrs
15 yrs
Location
United States
United States
Popular Questions for Kaggle
Newest job postings for Kaggle
via BeBee
posted_at: 19 hours agoschedule_type: Full-time
Minimum qualifications:
• Bachelor's degree in a quantitative discipline (e.g. Computer Science, Statistics, Bioinformatics, Engineering, etc.), or equivalent practical experience
• Experience with a data science language (e.g., Python, R, Julia, etc.), data analysis, machine learning, and applied statistical concepts...
• Experience in a technical consulting or customer facing capacity.
Preferred qualifications:
• Experience with Kaggle
Minimum qualifications:
• Bachelor's degree in a quantitative discipline (e.g. Computer Science, Statistics, Bioinformatics, Engineering, etc.), or equivalent practical experience
• Experience with a data science language (e.g., Python, R, Julia, etc.), data analysis, machine learning, and applied statistical concepts...
• Experience in a technical consulting or customer facing capacity.
Preferred qualifications:
• Experience with Kaggle competitions, familiarity with the Kaggle platform/community, and Google Cloud.
• Experience with computer vision.
• Experience with technical content creation (tutorials, videos, blog posts).
• Clear communication skills and a willingness to work with customers and users.
About the job
Kaggle (rhymes with "gaggle") is the world's largest data science and machine learning community. Our millions of registered users visit Kaggle to learn, find data, compete, and collaborate on the cutting edge of machine learning. We are hiring a Developer Relations Engineer for Kaggle Competitions, a cross-functional team responsible for running machine learning competitions.
Competitions were Kaggle's first product and remain core to its community, mission, and Google Cloud Platform's (GCP) promotional goals. In this role you will work with companies of all sizes, non-profits, and researchers, on problems ranging from medical imaging, to financial modeling, to identifying bird calls. Customers bring us diverse challenges and datasets, while our users compete to solve these challenges, seeking prize money, knowledge, or professional notoriety.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Responsibilities
• Work with customers to structure high quality machine learning problems and datasets.
• Develop content, programs, and strategy to grow adoption of Kaggle's GCP integrations.
• Collaborate with Kaggle and GCP engineering teams to make product improvements.
• Manage live competitions and interface with the Kaggle community Show more details...
• Bachelor's degree in a quantitative discipline (e.g. Computer Science, Statistics, Bioinformatics, Engineering, etc.), or equivalent practical experience
• Experience with a data science language (e.g., Python, R, Julia, etc.), data analysis, machine learning, and applied statistical concepts...
• Experience in a technical consulting or customer facing capacity.
Preferred qualifications:
• Experience with Kaggle competitions, familiarity with the Kaggle platform/community, and Google Cloud.
• Experience with computer vision.
• Experience with technical content creation (tutorials, videos, blog posts).
• Clear communication skills and a willingness to work with customers and users.
About the job
Kaggle (rhymes with "gaggle") is the world's largest data science and machine learning community. Our millions of registered users visit Kaggle to learn, find data, compete, and collaborate on the cutting edge of machine learning. We are hiring a Developer Relations Engineer for Kaggle Competitions, a cross-functional team responsible for running machine learning competitions.
Competitions were Kaggle's first product and remain core to its community, mission, and Google Cloud Platform's (GCP) promotional goals. In this role you will work with companies of all sizes, non-profits, and researchers, on problems ranging from medical imaging, to financial modeling, to identifying bird calls. Customers bring us diverse challenges and datasets, while our users compete to solve these challenges, seeking prize money, knowledge, or professional notoriety.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Responsibilities
• Work with customers to structure high quality machine learning problems and datasets.
• Develop content, programs, and strategy to grow adoption of Kaggle's GCP integrations.
• Collaborate with Kaggle and GCP engineering teams to make product improvements.
• Manage live competitions and interface with the Kaggle community Show more details...
via Karkidi
schedule_type: Full-timesalary: 120K–190K a yearwork_from_home: 1
Minimum qualifications:
• 4 years of experience in machine learning or data science, or equivalent practical experience
• Experience managing and moderating a developer community or engagement on Kaggle...
• Experience with SQL
• Experience with Python or R
Preferred qualifications:
• Experience in Developer Relations
• Experience with various social media platforms, tools, and online developer forums
• Experience creating public facing
Minimum qualifications:
• 4 years of experience in machine learning or data science, or equivalent practical experience
• Experience managing and moderating a developer community or engagement on Kaggle...
• Experience with SQL
• Experience with Python or R
Preferred qualifications:
• Experience in Developer Relations
• Experience with various social media platforms, tools, and online developer forums
• Experience creating public facing content
• Knowledge of Kaggle platform
• Knowledge of data analysis techniques to detect abusive patterns, outliers, sentiment, plagiarism, brigading, etc.
• Clear communication skills
About the job
As a Developer Relations, Kaggle Community Manager, you will work to create a better experience for our users by providing guidance and feedback for the community and the Kaggle team. You will work with Product, Community, and Engineering teams to build systems that work to increase user satisfaction on our platform.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Additional Information
(Colorado only*) Minimum salary range between $130,000 - $139,000 + bonus + equity + benefits..
• Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.
Responsibilities
• Resolve abuse within the Kaggle community, and interpret/respond to moderation reports for issues such as spam, plagiarism, and abuse.
• Write SQL queries and perform investigative analysis to uncover additional issues or problematic patterns such as progression system manipulation, upvote rings, and duplicate accounts.
• Work to foster welcoming community behavior by posting in our forums, sharing/refining community guidelines and moderation playbooks, and amplifying instances of positive exchanges or behaviors.
• Identify and create content, campaigns, strategies, community collaborations, or programs to encourage welcoming community behavior.
• Understand and communicate trends in abuse and product improvements, features, and tools to the Kaggle team that could help improve moderation Show more details...
• 4 years of experience in machine learning or data science, or equivalent practical experience
• Experience managing and moderating a developer community or engagement on Kaggle...
• Experience with SQL
• Experience with Python or R
Preferred qualifications:
• Experience in Developer Relations
• Experience with various social media platforms, tools, and online developer forums
• Experience creating public facing content
• Knowledge of Kaggle platform
• Knowledge of data analysis techniques to detect abusive patterns, outliers, sentiment, plagiarism, brigading, etc.
• Clear communication skills
About the job
As a Developer Relations, Kaggle Community Manager, you will work to create a better experience for our users by providing guidance and feedback for the community and the Kaggle team. You will work with Product, Community, and Engineering teams to build systems that work to increase user satisfaction on our platform.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Additional Information
(Colorado only*) Minimum salary range between $130,000 - $139,000 + bonus + equity + benefits..
• Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.
Responsibilities
• Resolve abuse within the Kaggle community, and interpret/respond to moderation reports for issues such as spam, plagiarism, and abuse.
• Write SQL queries and perform investigative analysis to uncover additional issues or problematic patterns such as progression system manipulation, upvote rings, and duplicate accounts.
• Work to foster welcoming community behavior by posting in our forums, sharing/refining community guidelines and moderation playbooks, and amplifying instances of positive exchanges or behaviors.
• Identify and create content, campaigns, strategies, community collaborations, or programs to encourage welcoming community behavior.
• Understand and communicate trends in abuse and product improvements, features, and tools to the Kaggle team that could help improve moderation Show more details...
via LinkedIn
posted_at: 28 days agoschedule_type: Full-timework_from_home: 1
Our Client is a Series C ($95 mill), AI cloud-based ML platform, founded by exGoogle, Amazon, IIT, Dartmouth team and funded by Decibel Ventures and Eric Schmidt. Our Client is the world’s first cloud AI platform that handles all aspects of machine and deep learning at enterprise scale. For repeatable use-cases such as churn prediction, time-series forecasting and deep-learning based... personalization, we offer an extremely customizable end to
Our Client is a Series C ($95 mill), AI cloud-based ML platform, founded by exGoogle, Amazon, IIT, Dartmouth team and funded by Decibel Ventures and Eric Schmidt. Our Client is the world’s first cloud AI platform that handles all aspects of machine and deep learning at enterprise scale. For repeatable use-cases such as churn prediction, time-series forecasting and deep-learning based... personalization, we offer an extremely customizable end to end autonomous AI service where our expert AI agents wrangle data, train machine and deep learning models and monitor them in production. In addition to all available open-source algorithms, Our Client has developed techniques to train custom neural networks that outperform classical models and are easily automated.
For custom, highly specific models, Our Client offers a state-of-the- art toolset that allows ML practitioners and data science teams to wrangle data, build real-time machine and deep learning features, upload ipython notebooks, monitor model drift, and set up CI/CD for machine learning systems. Our MLOps infrastructure helps you go to market, 10x faster than any other industry leading platform. Our intuitive UX and holistic platform saves you from orchestrating across multiple services, constantly reinventing the wheel, and having to deal with hard scale problems.
Our Client has been adopted by world-class organizations including several Fortune 500 companies. Headquartered in San Francisco, we are funded by Mike Volpi from Index Ventures, Eric Schmidt (ex-CEO and Chairman of Google), Ram Shriram (board member of Google), Coatue, Khosla Ventures, and others. Our founding team of AI scientists and ML engineers have degrees (many of them Ph.Ds) from premier universities such as Stanford, MIT, CMU, UC Berkeley, Dartmouth, and IIT and have shipped high profile products at Google, Amazon Web Services, and Uber.
Software Engineer - Machine Learning
• Responsible for implementing various algorithms to do automated feature extraction and dataset augmentation, optimizing runtimes of neural network algorithms and building higher level abstractions for various common AI/ML techniques.
• As an ML engineer, they will also work cross functionally amongst other engineers, on common ML operation tasks such as ML data management and training and modeldeployment, as well as build systems that are scalable.
• Candidates will need to have a BS or MS from top notch CS programs with industry experience.
We are looking for machine learning software engineers who have experience building at least one of the following:
• ML/AI models which are in production
• New neural network algorithms based on research papers
• Low level performance optimization of deep learning systems
• Machine learning platforms
• 5 years of professional software engineering experience. Some experience withpython is required.
• Have at least 1 year of professional work experience in one of the following: data infrastructure, ML/AI models in production, neural network algorithms, performance optimization of deep learning systems Show more details...
For custom, highly specific models, Our Client offers a state-of-the- art toolset that allows ML practitioners and data science teams to wrangle data, build real-time machine and deep learning features, upload ipython notebooks, monitor model drift, and set up CI/CD for machine learning systems. Our MLOps infrastructure helps you go to market, 10x faster than any other industry leading platform. Our intuitive UX and holistic platform saves you from orchestrating across multiple services, constantly reinventing the wheel, and having to deal with hard scale problems.
Our Client has been adopted by world-class organizations including several Fortune 500 companies. Headquartered in San Francisco, we are funded by Mike Volpi from Index Ventures, Eric Schmidt (ex-CEO and Chairman of Google), Ram Shriram (board member of Google), Coatue, Khosla Ventures, and others. Our founding team of AI scientists and ML engineers have degrees (many of them Ph.Ds) from premier universities such as Stanford, MIT, CMU, UC Berkeley, Dartmouth, and IIT and have shipped high profile products at Google, Amazon Web Services, and Uber.
Software Engineer - Machine Learning
• Responsible for implementing various algorithms to do automated feature extraction and dataset augmentation, optimizing runtimes of neural network algorithms and building higher level abstractions for various common AI/ML techniques.
• As an ML engineer, they will also work cross functionally amongst other engineers, on common ML operation tasks such as ML data management and training and modeldeployment, as well as build systems that are scalable.
• Candidates will need to have a BS or MS from top notch CS programs with industry experience.
We are looking for machine learning software engineers who have experience building at least one of the following:
• ML/AI models which are in production
• New neural network algorithms based on research papers
• Low level performance optimization of deep learning systems
• Machine learning platforms
• 5 years of professional software engineering experience. Some experience withpython is required.
• Have at least 1 year of professional work experience in one of the following: data infrastructure, ML/AI models in production, neural network algorithms, performance optimization of deep learning systems Show more details...
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