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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

Deep learning algorithms are neural networks modeled after the human brain. Machine learning engineers can specialize in natural language processing and computer vision, become software engineers focused on machine learning and more. Deep learning teaches computers to process data the way the human brain does.

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Where AI is headed in the next 5 years?

Pickl AI

Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

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A Comprehensive Guide on Deep Learning Engineers

Pickl AI

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

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Introducing the Topic Tracks for ODSC East 2025: Spotlight on Gen AI, AI Agents, LLMs, & More

ODSC - Open Data Science

Topics Include: Advanced ML Algorithms & EnsembleMethods Hyperparameter Tuning & Model Optimization AutoML & Real-Time MLSystems Explainable AI & EthicalAI Time Series Forecasting & NLP Techniques Who Should Attend: ML Engineers, Data Scientists, and Technical Practitioners working on production-level ML solutions.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

This article by Samhita Alla, a software engineer and tech evangelist at Union.ai, provides a simplified walkthrough of the applications of Flyte in MLOps. Fiddler AI Fiddler AI is a model monitoring and explainable AI platform that helps data scientists and machine learning engineers understand how their models work.