Towards AI

JULY 22, 2023

Last Updated on July 24, 2023 by Editorial Team Author(s): Data Science meets Cyber Security Originally published on Towards AI. Let us go further into the enigmas of Artificial Intelligence, where AI is making waves like never before! So, don’t worry, this is where Explainable AI, also known as XAI, comes in.

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Pickl AI

NOVEMBER 5, 2024

Summary: Data Science and AI are transforming the future by enabling smarter decision-making, automating processes, and uncovering valuable insights from vast datasets. Bureau of Labor Statistics predicts that employment for Data Scientists will grow by 36% from 2021 to 2031 , making it one of the fastest-growing professions.

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Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

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ODSC - Open Data Science

OCTOBER 24, 2023

In addition, all evaluations were performed using cross-validation: splitting the real data into training and validation sets, using the training data only for synthetization, and the validation set to assess performance. Indeed, the whole technique epitomizes explainable AI.

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Marktechpost

MAY 12, 2024

SEON SEON is an artificial intelligence fraud protection platform that uses real-time digital, social, phone, email, IP, and device data to improve risk judgments. It is based on adjustable and explainable AI technology.

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Mlearning.ai

FEBRUARY 6, 2023

Like issue 1, this could be solved over time through more tailored data sets and training. Classifiers based on neural networks are known to be poorly calibrated outside of their training data [3]. This is why we need Explainable AI (XAI). So what do we do?

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Marktechpost

AUGUST 24, 2023

With expertise in computer science, machine learning, robotics, mathematics, and other fields, this community is home to academics and engineers developing and utilizing this interdisciplinary topic. r/datascience It features the latest content and discussions on Data Science and its related fields. It has over 37.4k

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Pickl AI

JANUARY 13, 2025

We aim to guide readers in choosing the best resources to kickstart their AI learning journey effectively. From neural networks to real-world AI applications, explore a range of subjects. Its divided into foundational mathematics, practical implementation, and exploring neural networks’ inner workings.

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The MLOps Blog

JUNE 27, 2023

Google Cloud Vertex AI Google Cloud Vertex AI provides a unified environment for both automated model development with AutoML and custom model training using popular frameworks. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects. neptune.ai

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Pickl AI

JULY 14, 2023

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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Dlabs.ai

MAY 22, 2022

Machine Learning for Data Science and Analytics Authors: Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer Associate, Mihalis Yannakakis, Peter Orbanz If you ever dreamt of attending classes at Columbia University but never had the chance, this artificial intelligence course focused on ML is the next best thing.

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ODSC - Open Data Science

DECEMBER 17, 2024

However, debugging complex systems like neural networks remains challenging, especially when decisions hinge on non-linear patterns that are difficult to interpret even with advancedtools. The Role of Explainability inAI Explainable AI (XAI) is becoming a priority for lenders and regulators alike.

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Pickl AI

SEPTEMBER 17, 2024

Some of the key future trends include: Increased Use of Deep Learning and Neural Networks As computing power and data availability continue to grow, we can expect to see more advanced Deep Learning models being applied to cybersecurity challenges, enabling even more accurate threat detection and prediction.

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Defined.ai blog

AUGUST 10, 2023

Regular data audits and implementing robust data governance practices can help maintain data quality. Skills Gap Leveraging AI for financial data analysis requires specialized skills. Building a team with AI, data science, and finance expertise is crucial.

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Heartbeat

SEPTEMBER 13, 2023

Distinction Between Interpretability and Explainability Interpretability and explainability are interchangeable concepts in machine learning and artificial intelligence because they share a similar goal of explaining AI predictions. Explainability in Machine Learning || Seldon Blazek, P. References Castillo, D.

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ODSC - Open Data Science

FEBRUARY 25, 2025

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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Heartbeat

NOVEMBER 27, 2023

Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs. Deep learning automates and improves medical picture analysis. References Dylan et al.

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Viso.ai

MAY 10, 2024

It can also help reduce the dimensionality of the input which can help to avoid overfitting in situations where we don’t have as much training data as we would like. It often helps to do some exploratory data science. Try running some basic statistical analyses on your data. How do we perform feature engineering?

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Bugra Akyildiz

MAY 25, 2024

There are also a variety of capabilities that can be very useful for ML/Data Science Practitioners for data related or feature related tasks. Data Tasks ChatGPT can handle a wide range of data-related tasks by writing and executing Python code behind the scenes, without users needing coding expertise.

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Mlearning.ai

JANUARY 26, 2023

CIU is model-agnostic and provides uniform explanation concepts for all possible DSS models, ranging from linear models such as the weighted sum, to rule-based systems, decision trees, fuzzy systems, neural networks and any machine learning-based models.

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Mlearning.ai

FEBRUARY 2, 2023

In this article, I show how a Convolutional Neural Network can be used to predict a person's age based on the person's ECG Attia et al 2019 [1], showed that a person's age could be predicted from an ECG using convolutional neural networks (CNN). Data Min Knowl Disc 34 , 1936–1962 (2020). Singstad, B.-J.

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Pickl AI

APRIL 2, 2024

Summary This blog post demystifies data science for business leaders. It explains key concepts, explores applications for business growth, and outlines steps to prepare your organization for data-driven success. Data Science Cheat Sheet for Business Leaders In today’s data-driven world, information is power.

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