Unite.AI

NOVEMBER 29, 2024

Prescriptive AI uses machine learning and optimization models to evaluate various scenarios, assess outcomes, and find the best path forward. Once the data is ready, prescriptive AI moves into predictive modeling, using machine learning algorithms to analyze past patterns and predict future trends and behaviors.

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Unite.AI

DECEMBER 19, 2024

Thats why explainability is such a key issue. The more we can explain AI, the easier it is to trust and use it. LLMs are helping us connect the dots between complicated machine-learning models and those who need to understand them. Researchers are using this ability to turn LLMs into explainable AI tools.

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Large Language Models Explainable AI Explainability Conversational AI 208

Analytics Vidhya

OCTOBER 31, 2022

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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Marktechpost

JANUARY 14, 2025

These challenges highlight the need for systems that can adapt and learnproblems that Machine Learning (ML) is designed to address. Explaining Machine Learning Machine Learning is a branch of Artificial Intelligence ( AI ) that allows systems to learn and improve from data without being explicitly programmed.

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AI News

DECEMBER 19, 2024

The boom of the last few years appears to have sparked a push to establish regulatory frameworks for AI governance, explains veistys. In 2021, they introduced regulation on recommendation algorithms, which [had] increased their capabilities in digital advertising. According to veistys, China began regulating AI models as early as 2021.

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Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I’m gonna explain about DBSCAN algorithm. The post Understand The DBSCAN Clustering Algorithm! appeared first on Analytics Vidhya.

Algorithm 306

Algorithm Data Science Explainability ML 306

Unite.AI

JULY 7, 2023

The explosion in artificial intelligence (AI) and machine learning applications is permeating nearly every industry and slice of life. Indeed, some “black box” machine learning algorithms are so intricate and multifaceted that they can defy simple explanation, even by the computer scientists who created them.

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Explainable AI Explainability Machine Learning Computer Scientist 263

Analytics Vidhya

APRIL 30, 2021

Before I get into explaining the random forest algorithms and. The post Getting into Random Forest Algorithms appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Algorithm 289

Algorithm Data Science Explainability Machine Learning 289

Machine Learning Mastery

SEPTEMBER 3, 2024

Since machine learning is also a trending topic that many people want to explore, the […] The post 10 Machine Learning Algorithms Explained Using Real-World Analogies appeared first on MachineLearningMastery.com. I was unable to understand and find their usage in the real world.

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Analytics Vidhya

AUGUST 22, 2021

The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger.

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Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. What is Traditional Machine Learning? What are its Limitations?

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IBM Journey to AI blog

OCTOBER 15, 2024

When a user taps on a player to acquire or trade, a list of “Top Contributing Factors” now appears alongside the numerical grade, providing team managers with personalized explainability in natural language generated by the IBM® Granite™ large language model (LLM). ” The grading system is written in Node.js

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Explainability Machine Learning Large Language Models Algorithm 257

Unite.AI

MARCH 1, 2025

A 2023 study developed a machine learning model that achieved up to 90% accuracy in determining whether mutations were harmful or benign. Without the speed of machine learning, it likely would have taken much longer to recognize which genetic interactions were the most promising for fighting COVID-19.

Machine Learning 179

Machine Learning AI AI Explainable AI 179

How to Learn Machine Learning

APRIL 8, 2025

TLDR: In this article we will explore machine learning definitions from leading experts and books, so sit back, relax, and enjoy seeing how the field’s brightest minds explain this revolutionary technology! Yet it captures the essence of what makes machine learning revolutionary: computers figuring things out on their own.

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Towards AI

JANUARY 21, 2025

Nevertheless, when I started familiarizing myself with the algorithm of LLMs the so-called transformer I had to go through many different sources to feel like I really understood the topic.In In machine language translation, the initial language is encoded by the encoder and decoded into the target language by the decoder.In

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Algorithm ChatGPT Large Language Models Neural Network 105

IBM Journey to AI blog

APRIL 11, 2023

The new rules, which passed in December 2021 with enforcement , will require organizations that use algorithmic HR tools to conduct a yearly bias audit. This means that processes utilizing algorithmic AI and automation should be carefully scrutinized and tested for impact according to the specific regulations in each state, city, or locality.

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AI News

NOVEMBER 28, 2024

Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods.

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Large Language Models Big Data OpenAI AI Modeling 325

Analytics Vidhya

JUNE 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Agglomerative Clustering using Single Linkage (Source) As we all know, The post Single-Link Hierarchical Clustering Clearly Explained! appeared first on Analytics Vidhya.

Explainability 271

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Unite.AI

MARCH 3, 2025

Imandra is an AI-powered reasoning engine that uses neurosymbolic AI to automate the verification and optimization of complex algorithms, particularly in financial trading and software systems. Can you explain what neurosymbolic AI is and how it differs from traditional AI approaches? The field of AI has (very roughly!)

Automation 165

Automation Algorithm Explainability Large Language Models 165

Unite.AI

JANUARY 7, 2025

Croptimus monitors crops 24/7 using cameras that collect high-resolution imagery, which is then processed through advanced algorithms to detect pests, diseases, and nutrient deficiencies. Croptimus is more than just a monitoring toolits a decision-making assistant for growers, explains Valeria Kogan, Fermatas Founder and CEO.

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Analytics Vidhya

MARCH 14, 2023

According to a survey or study, AI […] The post What are Explainability AI Techniques? The quality of AI is what matters most and is one of the vital causes of the failure of any business or organization. Why do We Need it? appeared first on Analytics Vidhya.

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Explainable AI Explainability AI AI 271

Flipboard

NOVEMBER 11, 2024

This article explains, through clear guidelines, how to choose the right machine learning (ML) algorithm or model for different types of real-world and business problems.

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Neural Network Algorithm Machine Learning Explainability 177

Unite.AI

APRIL 2, 2025

AI systems rely on data to make decisions, and if that data reflects historical biases, those biases can be replicated by the algorithms. AI models, particularly those based on machine learning, often function as black boxes , meaning it is hard to understand how they arrive at certain conclusions.

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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AI News

DECEMBER 10, 2024

For instance, in practical applications, the classification of all kinds of object classes is rarely required, explains Associate Professor Go Irie, who led the research. The method they developed is built upon the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), an evolutionary algorithm designed to optimise solutions step-by-step.

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AI Modeling Black Box AI Big Data AI 312

Pickl AI

FEBRUARY 17, 2025

Summary: Machine Learning’s key features include automation, which reduces human involvement, and scalability, which handles massive data. Introduction: The Reality of Machine Learning Consider a healthcare organisation that implemented a Machine Learning model to predict patient outcomes based on historical data.

Machine Learning 52

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AI News

OCTOBER 8, 2024

At the University of Maryland (UMD), interdisciplinary teams tackle the complex interplay between normative reasoning, machine learning algorithms, and socio-technical systems. ” Bottom-up approach : A newer method that uses machine learning to extract rules from data.

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Artificial Intelligence Artificial Intelligence Explainability Big Data 319

Flipboard

NOVEMBER 26, 2023

Today, I've been asked to explain algorithms in five … Hello world. My name is David J. Malan and I'm a professor of computer science at Harvard University.

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IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

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Analytics Vidhya

APRIL 4, 2022

Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. As Data scientists, we may understand the algorithm & statistical methods used behind the scene. […]. This article was published as a part of the Data Science Blogathon.

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ML Data Scientist Machine Learning Data Science 290

IBM Journey to AI blog

AUGUST 9, 2024

Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. These adversarial AI algorithms encourage the model to generate increasingly high-quality outputs. What is predictive AI? You need to make sure the best technology is solving the right problem.”

Generative AI 301

Generative AI Explainability AI AI 301

Analytics Vidhya

JANUARY 27, 2022

Introduction In this article, I will explain linear Regression, one of the machine learning algorithms. This article was published as a part of the Data Science Blogathon. After reading this, we will get some basic knowledge about linear Regression, its uses, its types, and so on. Let us start with the table of contents.

Machine Learning 268

Machine Learning Data Science Explainability Algorithm 268

Pickl AI

APRIL 6, 2025

Summary: Kernel methods in machine learning solve complex data problems using smart functions like the kernel trick. Learn how they work and how to apply them in real-world projects through Pickl.AIs data science courses. Learn how they work and how to apply them in real-world projects through Pickl.AIs data science courses.

Machine Learning 52

Machine Learning Data Science Algorithm Neural Network 52

Analytics Vidhya

JULY 1, 2022

Introduction Leading biopharmaceutical industries, start-ups, and scientists are integrating Machine Learning (ML) and Artificial Intelligence Learning (AIL) into R&D to analyze extensive large data & data sets, identify patterns, and generate algorithms to explain them.

Data Science 271

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Flipboard

NOVEMBER 21, 2023

MATLAB   is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. Because we have a model of the system and faults are rare in operation, we can take advantage of simulated data to train our algorithm.

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Marktechpost

MARCH 22, 2024

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. To minimize the possibility of mistakes, the user must repeat and check each step of the machine-learning workflow.

Machine Learning 135

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Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. link] Proposes an explainability method for language modelling that explains why one word was predicted instead of a specific other word. UC Berkeley, CMU. EMNLP 2022.

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