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2024 Tech breakdown: Understanding Data Science vs ML vs AI

Pickl AI

The collective strength of both forms the groundwork for AI and Data Science, propelling innovation. Markets for each field are booming, offering diverse job roles, especially in Machine Learning for Data Analytics. ML catalyses AI advancements, enabling systems to evolve and improve decision-making. billion by 2032.

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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

Last Updated on July 20, 2023 by Editorial Team Author(s): Gaugarin Oliver Originally published on Towards AI. It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. This study by Bui et al.

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From Rulesets to Transformers: A Journey Through the Evolution of SOTA in NLP

Mlearning.ai

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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A comprehensive guide to learning LLMs (Foundational Models)

Mlearning.ai

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

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How Machines Learn: The Power of Gradient Descent

Towards AI

Last Updated on May 3, 2023 by Editorial Team Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Gradient descent is widely used in various machine learning models, such as linear regression, logistic regression, and neural networks.

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Exploring the dynamic fusion of AI and the IoT

Dataconomy

By harnessing the power of AI in IoT, we can create intelligent ecosystems where devices seamlessly communicate, collaborate, and make intelligent choices to improve our lives. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

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Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction

Towards AI

Last Updated on February 20, 2024 by Editorial Team Author(s): Vaishnavi Seetharama Originally published on Towards AI. Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms.