Most critical first. Last updated 2026-10-19.
…tools and systems, that do not lend themselves to being "transferable". You could be working on a Snowflake/Kafka/Datarobot system for one company, but your next client uses TigerGraph/Kineses/H2O. You can't even buy H2O to give yourself a skill bump to pitch to that client because the…
View original on Reddit…commitment to use it is really pushed by microsoft in their contracts. It's a very shady business practice. Look into datarobot, snaplogic, snowflake and regular docker containers on Azure instead…
View original on Reddit…up his own company. Data science (stats/ML) isn’t dying and if it does die in the next 10 years it won’t be because of DataRobot and the like. It’ll be because building a quality team is massively expensive, integrating domain knowledge into your analytics is hard (and far more difficult than the…
View original on Reddit…a math/physics/compsci grad with poor understanding of statistical research methods feel entitled to the job. AutoML/DataRobot/H2O can pick models. I need people who can also design experiments and understand research methods. Lemme put this into context the lower end of our salary band for a…
View original on RedditMore specifically: “To support retailers in managing this challenge, DataRobot and Palantir have partnered to create a custom, newly developed framework that will empower companies to take on a more nimble strategy to demand forecasting, eliminating the time and resources spent on manual data…
View original on Reddit…data pipelines by leveraging a good DW. You can also directly deploy models into your warehouse from services like Datarobot. I know everyone wants to write their own models, but when you are working with an inexperienced team, process simplification is the best thing you can do. Finding the…
View original on Reddit…execute tasks, rather than just answering a chat prompt. * Running agents requires *constant, always-on* inference. * DataRobot is basically saying: *"Our software makes it easy for companies to build AI agents, but traditional clouds (like AWS) are too expensive and unpredictable to run them…
View original on Reddit…Apache Flink, H2O.ai, MLlib, Theano, XGBoost, LightGBM, CatBoost, NLTK, SpaCy, Gensim, OpenCV, Numba, Statsmodels, DataRobot, Alteryx, BigQuery, Azure Machine Learning, AWS SageMaker, Google Cloud AI Platform, IBM Watson Studio, Java, JavaScript, C, C++, C#, Go, Ruby, PHP, Swift, Kotlin,…
View original on Reddit…than welcome. If there are people from Uber here, I may have a few questions : >- Why not use an existing tool, like DataRobot for example ? - What are the main mistakes you made when you started ? - How hard is the datalake/featurestore part compared to the automl part ? Obviously I'd be…
View original on Reddit…went jnto production. the tool they used to build models was data robot where they sent their data using jupyter to datarobot via api. This tool literally went through all models and just gave them the best model which was used in production. Nobody in the business (including head of data…
View original on RedditI've said it before, I'll say it again: people are stealing headlines by using the "hot take" technique: DataRobot is not replacing a data scientist, it is automating some of the tasks that a data scientist would have to execute, thereby softening the technical requirements for *some* data science…
View original on Reddit…python (not generally-speaking, but comparing specific models). And the no code tools are getting better every day. DataRobot was another one that even my data scientist friend had to concede had significant potential. It will try a bunch of different models and then recommend the best one for…
View original on RedditI think that it will just add to the competition. Data scientists that are not as good as DataRobot will find it difficult to find work. The ones that are better will be fine until DataRobot makes advances and becomes even better than them. They may hit some arbitrary limit at some point that will…
View original on RedditCheck out DataRobot. They have a great no code data science platform. They have their Data Robot University to teach you some of the basics. Great way to get exposure without coding and get you straight to thinking about problem solving with data
View original on Reddit…just means you didn’t spend enough time to properly model it, even if you were using AutoML tools like Sagemaker or Datarobot. (Actually especially if using these tools.) It sounds like they didn’t understand what data science is. For example, I’m sure their key metric was “accuracy” without…
View original on RedditSo my company has power bi cloud and touts many of the features on par with a Dataiku, Alteryx, DataRobot, and Databricks functionality. So I would say don’t make that mistake. Power bi has some great features but I would say let it shine in its data visualization and not in terms of creating a…
View original on Reddit…free!) Check out the following tutorials: http://danielfrg.com/blog/2013/01/02/python-replace-sas/ http://www.datarobot.com/blog/python-getting-started-with-data-science/ https://github.com/donnemartin/data-science-ipython-notebooks…
View original on RedditCouldn't have agreed more with u/the75th 1.) I recently did a POC for obtaining one of these tools and DataRobot was one of them. I'd never heard of it prior and all it does is automate the ML process by throwing a bunch of models at the data and seeing what sticks. It's not hard to learn and just…
View original on RedditJust give an intern datarobot? I see I've touched the excel nerve. Believe me, it pained me to write it as much as it did for you to read it, but I was being facetious. For me, technical underatanding and experience with data are extremely important, and neither comes easy. So I'd put statistics…
View original on Reddit…allows more focused vendors of AI to plug into their operating system to give focused insights on data - in this case DataRobot might best fit the bill. Disclaimer: I am a software engineer but don’t specialize in this field; however, this interpretation at least makes sense to me from a birds…
View original on Reddit…and Aito looks like tens of other solutions I found back then. Aito looks good, and so do other solutions like DataRobot. How long does it take to start training ML models with Aito for example? 1. Sign-up. For other services, need to add your credit-card, set up a billing account, etc. ;…
View original on Reddit…is that AutoML seems to be a very general box into which many very specific tools are shoved into. Tools like H2o, Datarobot and MLjar aim to automate as much as the process as possible to enable a wider audience to use ML, opening up a field of new customers. This includes feature engineering…
View original on Reddit…that, most workloads (80%) are still ML and there's tons of low hanging fruit. While there are auto-ML companies like DataRobot, there's no software vendor that is good at data science cleaning and feature engineering. I've assessed them all for my partner network and have some signed, but it's a…
View original on RedditNo, as a data scientist that worked at DataRobot. I can confidently say, no. Phenomenal product but it cannot replace a data scientist. Its just another tool that can empower them. And a simple data frame and import xgboost is not nearly enough for a ‘useful’ model. Infrastructure and…
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