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Data Preparation and Raw Data in Machine Learning: Why They Matter

Dataversity

In our current digital age, data is being produced at an unprecedented rate. With the increasing reliance on technology in our personal and professional lives, the volume of data generated daily is expected to grow. This rapid increase in data has created a need for ways to make sense of it all. Machine learning is […].

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Feature scaling: A way to elevate data potential

Data Science Dojo

Feature Engineering is a process of using domain knowledge to extract and transform features from raw data. These features can be used to improve the performance of Machine Learning Algorithms. A visual representation of feature scaling techniques – Source: someka.net Why feature scaling is important?

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Feature Platforms?—?A New Paradigm in Machine Learning Operations (MLOps)

IBM Data Science in Practice

Feature Platforms — A New Paradigm in Machine Learning Operations (MLOps) Operationalizing Machine Learning is Still Hard OpenAI introduced ChatGPT. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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Model Monitoring for Time Series

The MLOps Blog

I found that Corporación Favorita, a large Ecuadorian-based grocery retailer, has made their data available for us at Kaggle. Time Series forecasting using deep learning models can help retailers make more informed and strategic decisions about their operations and improve their competitiveness in the market.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1.

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Here’s how Snorkel Flow + Google AI built an enterprise-ready model in a day

Snorkel AI

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. The main lever for optimizing LLMs and delivering both production-level accuracy and competitive advantage lies in a company’s own data.

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