Tue.Jan 18, 2022

How Data is Helping Organizations to Improve the Employee Lifecycle

Cloudera

Each year, the Cloudera Data Impact Awards recognize organizations that have accomplished amazing things with innovative data solutions. . For 2021, the awards will include a new category: People First.

Flight Fare Prediction Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

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All in the Data: Ways to Improve Your Data

The Data Administration Newsletter

Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high quality.

Hop on to your Data Engineering Career with AV!

Analytics Vidhya

Overview This article will help you to achieve your goals in 2022. We will take you through a learning path that will help you achieve your dream to become a Data Engineer. Introduction Data Science is still considered a contemporary and highly advanced field.

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

How to Process a DataFrame with Millions of Rows in Seconds

KDnuggets

TLDR; process it with a new Python Data Processing Engine in the Cloud. 2022 Jan Tutorials, Overviews Python

Hacking Into Nvidia Nemo Script(Download Common Voice)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Nvidia Nemo Script Credits: Nvidia Official Hey all?? I am sure you must have heard Nvidia Nemo in recent times.

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AI Cultural Change From First Principles

Dataiku

So, you want to change your company culture to be more data driven and use AI everyday.

The Hard Truth of Data Accuracy

The Data Administration Newsletter

Data Accuracy is one of the so-called “dimensions” of Data Quality. The goal for these dimensions, and it is a noble one, is so we can measure each of them, and should deficiencies be found then there should be a uniform set of best practices that we can implement.

Demystifying Bad Science

KDnuggets

Rigorous science is challenging and any study can be questioned. Deception is part of human nature and scientists are human, as are journalists and policymakers. We are too and must be careful not to trust a study just because we find it exciting, or because it comforts us or conforms to our beliefs.

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Current State Analysis of Your Data – Part 1

The Data Administration Newsletter

Whether you’re stepping into a new organization as a data lead or trying to overhaul your data infrastructure, the first step in the process is to understand how your organization currently uses data. While that may sound simple, it can be an intimidating process to start.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Tensorflow vs. PyTorch vs. Keras for Deep Learning

Domino Data Lab

Machine learning provides us with ways to create data-powered systems that learn and enhance themselves, without being specifically programmed for the task at hand. As machine learning algorithms go, there is one class that has captured the imagination of many of us: deep learning.

Things the Database Administrator Hears

The Data Administration Newsletter

Picture this scene: It is a little after 5 p.m. on a Friday and a chat message pops up from my “favorite” application programmer. Something isn’t working properly. Yes, that is the message. Something” isn’t working properly. That’s all. “OK,” I say.

Innovation: where do you start? metrics can help…

Timo Elliot

Innovation has to become a core competency, a business process itself, that can be continually improved. And because you can’t manage what you don’t measure, that requires metrics. But what metrics?

Data Value Chain: Analysis-Enable Data Products

The Data Administration Newsletter

In 2021, there were many new use cases that came to life and became viable “data products” due to focus on data as a commodity.

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Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

Data Mesh and the City Planner

Teradata

Data mesh planning is a lot like city planning, with both city and data mesh planners aiming to provide as much freedom and flexibility as possible to encourage business growth

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How Chief Data Officers Overcome Key Challenges

The Data Administration Newsletter

The role of a Chief Data Officer (CDO) is relatively new and hence, laden with many new challenges. But knowing these issues beforehand can help you be equipped to solve them.

5 Tips to Help Your Reporting Build Better Customer Relationships

Juice Analytics

Customer reporting is one of the most under-appreciated touch-points that service and solution companies have. Whether it is a weekly status update or a performance dashboard, reporting can be an opportunity to demonstrate expertise and value.

Zen and the Art of AI Impact Assessments

DataRobot

Have you ever walked into a room and forgotten what you were thinking or your purpose in going to that room? Don’t worry, this isn’t a sign of mental deficiency. It is a well-known side-effect of how human memory works. In psychology it is called the doorway effect.

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Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.