Making Predictive Models Robust: Holdout vs Cross-Validation

[unable to retrieve full-text content]The validation step helps you find the best parameters for your predictive model and prevent overfitting. We examine pros and cons of two popular validation strategies: the hold-out strategy and k-fold.
Original Post: Making Predictive Models Robust: Holdout vs Cross-Validation

Your Checklist to Get Data Science Implemented in Production

[unable to retrieve full-text content]For over a year we surveyed thousands of companies from all types of industries and data science advancement on how they managed to overcome these difficulties and analyzed the results. Here are the key things to keep in mind when you’re working on your design-to-production pipeline.
Original Post: Your Checklist to Get Data Science Implemented in Production

Dataiku DSS 3.1 – Now with 5 ML Backends & Scala!

           Tweet Previous post Next post Tags: Data Science, Dataiku, Machine Learning, Scala Introducing Dataiku DSS 3.1, with new visual machine learning engines that allow users to create incredibly powerful predictive applications within a code-free interface. Dataiku DSS 3.1 Now with 5 ML Backends & Scala! Dataiku DSS 3.1 introduces new visual machine learning engines that allow users…
Original Post: Dataiku DSS 3.1 – Now with 5 ML Backends & Scala!

Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists

Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists Previous post Next post            Tweet Tags: Ajay Ohri, API, Data Science Tools, Dataiku, Florian Douetteau, Python, R Here is an interview with Florian Douetteau, founder of Dataiku, on how their tools empower data scientists, and how data science itself is evolving. comments By Ajay Ohri, Author. Dataiku develops…
Original Post: Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists

Predicting purchases at retail stores using HPE Vertica and Dataiku DSS

           Tweet Previous post Next post Tags: Dataiku, HPE, Retail, Vertica The retail industry has been data centric for a while. With the rise of loyalty programs and digital touch points, retailers have been able to collect more and more data about their customers over time, opening up the ability to create better personalized marketing offers and promotions.…
Original Post: Predicting purchases at retail stores using HPE Vertica and Dataiku DSS

Survey: Why Companies Still Fail to Get Full Value From Big Data

Survey: Why Companies Still Fail to Get Full Value From Big Data Previous post Next post            Tweet Tags: Big Data, Dataiku, Production, Survey Any company that has decided to put efforts in data has to face bringing these projects from the design and development phase to the production phase at some point. So tell us how you…
Original Post: Survey: Why Companies Still Fail to Get Full Value From Big Data

R or Python? Consider learning both

Previous post Next post            Tweet Tags: DataCamp, Dataiku, Jupyter, Python, Python vs R, R The key to become a data science professional is in understanding the underlying data science concepts and work towards expanding your programming toolbox as much as you can. Hence, one should understand when to use Python and when to pick R, rather mastering…
Original Post: R or Python? Consider learning both