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Explainable Artificial Intelligence (XAI) for AI & ML Engineers

Analytics Vidhya

Introduction Hello AI&ML Engineers, as you all know, Artificial Intelligence (AI) and Machine Learning Engineering are the fastest growing filed, and almost all industries are adopting them to enhance and expedite their business decisions and needs; for the same, they are working on various aspects […].

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Tracking Your Machine Learning Project Changes with Neptune

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Working as an ML engineer, it is common to be in situations where you spend hours to build a great model with desired metrics after carrying out multiple iterations and hyperparameter tuning but cannot get back to the same results with the […].

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The Journey of a Senior Data Scientist and Machine Learning Engineer at Spice Money

Analytics Vidhya

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. From humble beginnings to influential […] The post The Journey of a Senior Data Scientist and Machine Learning Engineer at Spice Money appeared first on Analytics Vidhya.

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Deploying ML Models Using Kubernetes

Analytics Vidhya

Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. This article was published as a part of the Data Science Blogathon.

ML 346
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ML Engineering is Not What You Think — ML Jobs Explained

Towards AI

How much machine learning really is in ML Engineering? There are so many different data- and machine-learning-related jobs. But what actually are the differences between a Data Engineer, Data Scientist, ML Engineer, Research Engineer, Research Scientist, or an Applied Scientist?!

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10 Best AI Tools for Small Manufacturers (February 2025)

Unite.AI

Odoo has been exploring machine learning to enhance its operations for instance, using AI for demand forecasting and intelligent scheduling. AI-Driven Forecasting: Machine learning features for demand forecasting and production optimization, helping predict needs and equipment issues before they arise. Visit Odoo 4.

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Feature Scaling Demystified—Essential Linear Scaling Techniques in Machine Learning!

Towards AI

Lets understand the most useful linear feature scaling techniques of Machine Learning (ML) in detail! Since all ML models expect numeric input, it doesnt signify that passing the numeric features as they are fulfills the use case. This member-only story is on us. Upgrade to access all of Medium.