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A Day in the Life of a Data Scientist

Knowledge Hut

Join me on this captivating expedition as we peel back the curtain, revealing the intricacies that define "A Day in the Life of a Data Scientist." This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Data Collection Challenge. Factory ID. Machine ID.

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How To Switch To Data Science From Your Current Career Path?

Knowledge Hut

A data scientist’s job needs loads of exploratory data research and analysis on a daily basis with the help of various tools like Python, SQL, R, and Matlab. This role is an amalgamation of art and science that requires a good amount of prototyping, programming and mocking up of data to obtain novel outcomes.

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Tips to Build a Robust Data Lake Infrastructure

DareData

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data. Data Sources: How different are your data sources?

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Math for Data Science: What Data Scientists Must Know?

Knowledge Hut

It's like the hidden dance partner of algorithms and data, creating an awesome symphony known as "Math and Data Science." " So, get ready for a fun ride in this blog as we explore the fascinating world of math in data science. Here are key areas of mathematics that data scientists must be familiar with: A.

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How AI Used in Fraud Detection? Benefits, Techniques, Use cases

Knowledge Hut

In this blog, I'll go into the interesting world of AI fraud detection, looking at how it works, its applications, benefits, and drawbacks. Fraud detection with AI and machine learning operates on the principle of learning from data. Here's how it works: Data Collection: The first step is to gather data.

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Data Engineer vs Data Scientist- The Differences You Must Know

ProjectPro

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. It entails generating data visualizations and charts for analysis.