Fri.Oct 15, 2021

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Machine Learning Model Deployment using Streamlit

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview of Streamlit If you are someone who has built ML models for real-time predictions and wondering how to deploy models in the form of web applications, to increase their accessibility. You are at the right place as in this article you will be […]. The post Machine Learning Model Deployment using Streamlit appeared first on Analytics Vidhya.

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Be the Best – 9 Ways to Market Your Business with Big Data

Smart Data Collective

Big data technology has been a highly valuable asset for many companies around the world. Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Data-Driven Marketing is More Important than Ever. The competition out there is fierce, so it is vital that you find ways to make your business stand out from the crowd.

Big Data 138
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The Importance of Data Drift Detection that Data Scientists Do Not Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is Model Monitoring and why is it required? Machine learning creates static models from historical data. But, once deployed in production, ML models become unreliable and obsolete and degrade with time. There might be changes in the data distribution in production, thus causing […].

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6 Data-Driven Tips to Dramatically Improve User Experience on Your Site

Smart Data Collective

We have talked about the benefits of using big data in web design. One of the most important benefits of data analytics is improving user experience. Jenny Booth highlighted this in her post Data-informed design: Getting started with UX analytics. We wanted to cover this topic in more depth. Big Data is Crucial for Improving Online User Experience. Companies that use data technology strategically are able to significantly boost their overall conversion rates.

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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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Detailed Insight on Docker for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Docker is an open software platform for developing, running, and shipping applications. Docker is mainly designed to deliver your applications faster. Its main motto is that it allows you to separate your software applications from your usual infrastructure so that you can deliver […].

Software 306
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How to Move From Brick and Mortar to Online With Dataiku

Dataiku

During the 2021 Dataiku Product Days , Mark Sucrese, VP of Marketing Sciences at Epsilon , shared some insights on a very common challenge that businesses are facing today: moving from brick and mortar to online stores.

Marketing 105

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The Role of AI in Combating Climate Change

DataRobot

Climate Change presents a global problem for our generation and the generations that will follow us. The Earth’s abundance has limits and Mother Nature will bend and stretch to provide for her inhabitants, but it may come at a cost. As our society presents advancement after advancement in technology, medicine, and industry, we can harness these investments to reduce the reflexive impact on the environment.

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Engaging External Stakeholders With Your Data Platform

InsightOut

b' Data analytics once came under the exclusive purview of number-crunching data analysts and esoteric data scientists. The power to access, analyze and present data sets from complex statistical programs lay only within their restricted reach. Technology has changed, and so have the business scenarios. Data is now accessible to more and more stakeholders xe2x80x93 both internal and external.