Fri.Sep 03, 2021

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Decrease Frustration and Increase Anticipation With AutoML

Dataiku

During the 2021 Dataiku Product Days, Krishna Vadakattu, senior product manager at Dataiku and Christopher Peter Makris, lead data scientist at Dataiku, presented some of Dataiku’s AutoML features and applied them to a predictive analysis use case. This blog post will walk you through this case study to give you an idea of how AutoML can increase your anticipation abilities.

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Essential Text Pre-processing Techniques for NLP!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What if you could simply talk or converse with a computer just the way you talk to a human? Sounds impressive, doesn’t it? Natural Language Processing helps us do just that! Natural language processing (NLP) can be thought of as an intersection of Linguistics, […]. The post Essential Text Pre-processing Techniques for NLP!

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No-Code and Low-Code application development as a way to increase Diversity in your organisation

Jen Stirrup

Customers often ask me how they can increase diversity in their workplaces. It is a complicated question since there are so many different aspects to it, such as intersectionality and its implications for treating people equally. The ‘next normal’ reality is the customers expect everything faster with desired personal service. And the expectations will be challenging to meet.

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Forecasting Financial Time Series – A Model of MLP in Keras

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to show the process of working with time series from data processing to building neural networks and validating the results. As an example, financial series was chosen as completely random and in general, it is interesting if […]. The post Forecasting Financial Time Series – A Model of MLP in Keras appeared first on Analytics Vidhya.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Amy D. Grubb: Communication is Key in Digital Transformation

DataRobot

Amy D. Grubb joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the difficulties of digital transformation and the role of I-O psychology in a large government environment. Trained as an industrial and organizational psychologist, with a Ph.D. from the University of Houston, Amy Grubb has worked at the Federal Bureau of Investigation for more than 22 years.

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Optimize your optimizations using Optuna

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Optuna is a state-of-the-art automatic hyperparameter tuning framework that is completely written in Python. It is widely and exclusively used by the Kaggle community for the past 2 years and since the platform has such competitiveness, and for it to achieve such domination, […].