Mon.Jan 17, 2022

Data Quality: The Good, The Bad, and The Ugly

KDnuggets

Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms. 2022 Jan Opinions Data Science

A busy year ahead in low-code and no-code development

DataKitchen

The post A busy year ahead in low-code and no-code development first appeared on DataKitchen. News News / PR

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Layers of the Data Platform Architecture

Analytics Vidhya

Overview In this article, I will walk you through the layers of the Data Platform Architecture. First of all, let’s understand what is a Layer, a layer represents a serviceable part that performs a precise job or set of tasks in the data platform.

Large Pharma Achieves 5X Productivity Gain With DataOps Process Hub

DataKitchen

The Challenge. A large pharmaceutical Business Analytics (BA) team struggled to provide timely analytical insight to its business customers. The company invested significant effort into managing lists of potential prescribers for certain drugs and treatments.

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.

Roadmap to Master NLP in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” ” Then I began to write a brief response.

The Role and Importance of Data Collection in Healthcare

Smart Data Collective

Did you know that global businesses are expected to spend $274 billion on big data this year? That figure is projected to grow at a rapid pace for years to come. The healthcare sector, in particular, has discovered a number of benefits of leveraging data technology.

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Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

KDnuggets

In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership.

Microsoft Malware Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As a part of writing a blog on the ML or DS topic, I selected a problem statement from Kaggle which is Microsoft malware detection. Here this blog explains how to solve the problem from scratch.

Data Scientist vs Data Analyst vs Data Engineer

KDnuggets

In this article, I will describe three of the most promising career options within the data industry? — data analytics, data science, and data engineering. 2022 Jan Opinions Career Advice

Sentiment Analysis with LSTM

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Sentiment Analysis is an NLP application that identifies a text corpus’s emotional or sentimental tone or opinion. Usually, emotions or attitudes towards a topic can be positive, negative, or neutral.

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!

Top Stories, Jan 10-16: Is Data Science a Dying Career?

KDnuggets

Also: Top Five SQL Window Functions You Should Know For Data Science Interviews; A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; SQL Interview Questions for Experienced Professionals; Why Do Machine Learning Models Die In Silence? 2022 Jan Top Stories News

A Guide to Understand Machine Learning Pipeline with Case Study

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning is one of the most advancing technologies in Computer Science in the present era. A lot of Researchers, Academicians, and Industrialists are investing their efforts to innovate in this field.

KDnuggets Top Blogs Rewards for December 2021

KDnuggets

The December blogs that won KDnuggets Rewards include: Write Clean Python Code Using Pipes; Building a solid data team; How to Get Certified as a Data Scientist; 3 Tools to Track and Visualize the Execution of Your Python Code; and more. 2022 Jan Top Stories Blog Rewards Top stories

Logistic Regression: An Introductory Note

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Linear regression maps a vector x to a scalar y. If we can squash the Linear regression output in the range 0 to 1, it can be interpreted as a probability.

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.

From the Lab to the Enterprise: Getting Your Work Adopted Across the Organization

Dataiku

The need to be understood is not only a core human trait, but it's also an important part of a data scientist's responsibilities.

Determining Business Intelligence Requirements That Will Delight Your Customers

Insight Software

Choosing the right BI solution involves thoroughly evaluating the technology, understanding the expertise offered by the vendor, and implementing a process to ensure success. It also means keeping your customers top of mind as you determine requirements.

What Makes a Useful Data Story? 5 Questions to Ask 

Depict Data Studio

Ready to tell a story with data? Here’s my definition of data storytelling , in case you missed the previous blog post. Great! Let’s remove the guesswork from our graphs. The next step is to figure out which message we’ll highlight.