How to Learn Machine Learning

APRIL 4, 2025

AI will help to strengthen defences, cybercriminal departments will utilize AI to work against phishing and deepfake attacks. Explainable AI (XAI): As AI is expanding rapidly, there is a high demand for transparency and trust in AI-driven decisions. Thus, explainable AI (XAI) comes into the picture.

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Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

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Mlearning.ai

JANUARY 26, 2023

When it comes to implementing any ML model, the most difficult question asked is how do you explain it. Suppose, you are a data scientist working closely with stakeholders or customers, even explaining the model performance and feature selection of a Deep learning model is quite a task. How can we explain it in simple terms?

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ODSC - Open Data Science

AUGUST 14, 2023

“I still don’t know what AI is” If you’re like my parents and think I work at ChatGPT, then you may have to learn a little bit more about AI. Funny enough, you can use AI to explain AI. Most AI-based programs have plenty of good tutorials that explain how to use the automation side of things as well.

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IBM Journey to AI blog

JUNE 28, 2023

With Amazon Omics awareness of file formats like FASTQ, BAM and CRAM, clients can focus on data, bring in workflow definition tools like WDL, letting Amazon Omics take care of the rest. This process alone saves hundreds of hours of productive time. gene expression; microbiome data) and any tabular data (e.g.,

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IBM Journey to AI blog

SEPTEMBER 20, 2023

IBM watsonx.data is a fit-for-purpose data store built on an open lakehouse architecture to scale AI workloads for all of your data, anywhere. IBM watsonx.governance is an end-to-end automated AI lifecycle governance toolkit that is built to enable responsible, transparent and explainable AI workflows.

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How to Learn Machine Learning

JUNE 9, 2024

The thought of machine learning and AI will definitely pop into your mind when the conversation is about emerging technologies. Healthcare organizations are using healthcare AI/ML solutions to achieve operational efficiency and deliver quality patient care. Explainability AI addresses these challenges of AI/ML solutions.

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AWS Machine Learning Blog

APRIL 12, 2023

Because we wanted to track the metrics of an ongoing training job and compare them with previous training jobs, we just had to parse this StdOut by defining the metric definitions through regex to fetch the metrics from StdOut for every epoch. He is currently involved in research efforts in the area of explainable AI and deep learning.

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Mlearning.ai

MARCH 24, 2023

The EU AI Act is a proposed piece of legislation that seeks to regulate the development and deployment of artificial intelligence (AI) systems across the European Union. Photo by Guillaume Périgois on Unsplash EU AI Act: History and Timeline 2018 : EU Commission starts pilot project on ‘Explainable AI’.

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DataRobot Blog

JUNE 23, 2022

The explicit management of both ensures compliance (especially when transparent and explainable AI models are used), and the business ownership necessary to create business value. With a clear definition of the decision-making approach, decisions made can be logged. Take Action.

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Pickl AI

NOVEMBER 5, 2024

These statistics underscore the significant impact that Data Science and AI are having on our future, reshaping how we analyse data, make decisions, and interact with technology. Lack of Transparency Many AI systems operate as “black boxes,” making it difficult for users to understand how decisions are made.

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Ofemwire

MARCH 1, 2024

At its core, AI is designed to replicate or even surpass human cognitive functions, employing algorithms and machine learning to interpret complex data, make decisions, and execute tasks with unprecedented speed and accuracy. If you dont get that, let me explain what AI is, like I would do to a fifth grader.

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Pickl AI

JANUARY 29, 2024

AI automates and optimises Data Science workflows, expediting analysis for strategic decision-making. Data Science Vs Machine Learning Vs AI Aspect Data Science Artificial Intelligence Machine Learning Definition Data Science is the field that deals with the extraction of knowledge and insights from data through various processes.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Under Advanced Project Options , for Definition , select Pipeline script from SCM. She is passionate about developing, deploying, and explaining AI/ ML solutions across various domains. Select This project is parameterized. On the Add Parameter menu, choose String Parameter. For Name , enter prodAccount. For SCM , choose Git.

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Pickl AI

NOVEMBER 18, 2024

Key steps involve problem definition, data preparation, and algorithm selection. Explainable AI (XAI) The demand for transparency in Machine Learning Models is growing. Explainable AI (XAI) focuses on making complex models more interpretable to humans. Data quality significantly impacts model performance.

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The MLOps Blog

AUGUST 11, 2023

But some of these queries are still recurrent and haven’t been explained well. Here, the DAGs represent workflows comprising units embodying job definitions for operations to be carried out, known as Steps. How should the machine learning pipeline operate?

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DataRobot Blog

JUNE 24, 2022

In this example, DataRobot’s AI Cloud Platform is used to forecast the next year’s house price at each submarket (e.g., Forecasting Prime House Prices. district or neighborhood level), clustered into different markets (e.g., city level).

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