Analytics Vidhya

JANUARY 20, 2021

But using the process explained below will ease it out. The post A Quick Guide to Setting up a Virtual Environment for Machine Learning and Deep Learning on macOS appeared first on Analytics Vidhya. ArticleVideos Introduction Upgrading either Anaconda or Python on macOS is complicated. For this, I’m.

Deep Learning 366

Deep Learning Machine Learning Explainability Python 366

Analytics Vidhya

NOVEMBER 29, 2021

In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? Model explainability refers to the concept of being able to understand the machine learning model. For example – If a healthcare […].

Explainability 396

Explainability Machine Learning Data Science Deep Learning 396

AI News

JULY 24, 2023

AI News spoke with Damian Bogunowicz, a machine learning engineer at Neural Magic , to shed light on the company’s innovative approach to deep learning model optimisation and inference on CPUs. One of the key challenges in developing and deploying deep learning models lies in their size and computational requirements.

Deep Learning 240

Deep Learning Large Language Models Neural Network Big Data 240

Analytics Vidhya

MAY 5, 2024

7B Explained appeared first on Analytics Vidhya. It is designed for a variety of code and natural language generation tasks. The 7B model is part of the Gemma family and is further trained on more than 500 billion tokens […] The post Is Coding Dead? Google’s CodeGemma 1.1

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Explainability Large Language Models AI Tools Deep Learning 327

Analytics Vidhya

MAY 14, 2023

Thus, understanding the disparity between two fundamental algorithms, Regression vs Classification, becomes essential. […] The post Regression vs Classification in Machine Learning Explained! appeared first on Analytics Vidhya.

Machine Learning 318

Machine Learning Explainability Data Scientist Algorithm 318

Analytics Vidhya

MAY 3, 2024

50 Billion AGI Gamble Explained! His vision represents a significant shift in the development of AI technologies, emphasizing the transformative potential of AGI across various societal sectors. Altman has […] The post Is Sam Altman Crazy or a Genius? $50 appeared first on Analytics Vidhya.

Explainability 328

Explainability OpenAI AI AI 328

Marktechpost

OCTOBER 31, 2024

Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material properties to optimizing compositions, deep learning has accelerated material design and facilitated exploration in expansive materials spaces. Check out the Paper.

Neural Network 87

Neural Network Explainable AI Explainability Machine Learning 87

Unite.AI

DECEMBER 17, 2024

AI systems, especially deep learning models, can be difficult to interpret. Humans can validate automated decisions by, for example, interpreting the reasoning behind a flagged transaction, making it explainable and defensible to regulators.

Automation 246

Automation AI Explainability AI 246

Analytics Vidhya

DECEMBER 3, 2021

Introduction In this article, I will attempt to explain all of the ideas that you should be familiar with about databases. As we all know, while working on a Data Science, Machine Learning, Deep Learning, or another project, the most important element is […].

Data Science 355

Data Science Deep Learning Machine Learning Explainability 355

IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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Neural Network Deep Learning Machine Learning Artificial Intelligence 178

AI News

FEBRUARY 25, 2025

Tackling the “black-box” problem The AI industry has long faced the challenge of addressing the black-box problem, where deep learning models reach conclusions without clear explanations. ASI-1 Mini mitigates this issue with continuous multi-step reasoning, facilitating real-time corrections and optimised decision-making.

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AI Modeling Large Language Models Big Data AI 237

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

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Deep Learning Machine Learning Data Science Explainability 318

Marktechpost

MARCH 10, 2025

A researcher from New York University presents soft inductive biases as a key unifying principle in explaining these phenomena: rather than restricting hypothesis space, this approach embraces flexibility while maintaining a preference for simpler solutions consistent with data. However, deep learning remains distinctive in specific aspects.

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Deep Learning Convolutional Neural Networks Neural Network Explainability 48

Unite.AI

AUGUST 28, 2024

Deep Instinct is a cybersecurity company that applies deep learning to cybersecurity. As I learned about the possibilities of predictive prevention technology, I quickly realized that Deep Instinct was the real deal and doing something unique. He holds a B.Sc Not all AI is equal.

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Deep Learning Explainability Neural Network Metadata 278

Towards AI

JANUARY 31, 2025

Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. Image by author When the first computer, Alan Turings machine, appeared in the 1940s, humans started to struggle in explaining how it encrypts and decrypts messages. This member-only story is on us.

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Deep Learning Computer Vision Explainability NLP 95

Marktechpost

MAY 8, 2024

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. Deep learning and AI technologies play crucial roles in both modular and End2End systems for autonomous driving. Classical methodologies for these tasks are also explored.

Deep Learning 122

Deep Learning Neural Network Data Scarcity Natural Language Processing 122

Unite.AI

NOVEMBER 20, 2024

Journalists do require some technical details, however, long-winded descriptions highlighting the complexity of your deep learning architecture or data quality will lead to you blending in with thousands of other tech-first firms. Your company may be AI-based; however, its messaging doesn’t have to be.

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Deep Learning Natural Language Processing Machine Learning AI 147

Marktechpost

MARCH 26, 2024

Deep learning models have recently gained significant popularity in the Artificial Intelligence community. In order to address these challenges, a team of researchers has introduced DomainLab, a modular Python package for domain generalization in deep learning. If you like our work, you will love our newsletter.

Deep Learning 128

Deep Learning Python Neural Network Artificial Intelligence 128

AssemblyAI

DECEMBER 7, 2023

Performance of Qwen-Audio versus previous top-tiers from multi-task audio-text learning models across 12 audio datasets. Researchers from Alibaba Group have introduced Qwen-Audio , a groundbreaking large-scale audio-language model that elevates the way AI systems process and reason about a diverse spectrum of audio signals.

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Explainability Large Language Models AI AI 278

Marktechpost

MAY 14, 2024

Deep learning is crucial in today’s age as it powers advancements in artificial intelligence, enabling applications like image and speech recognition, language translation, and autonomous vehicles. Additionally, it offers insights into the diverse range of deep learning techniques applied across various industrial sectors.

Neural Network 109

Neural Network Deep Learning Computer Vision Python 109

Towards AI

SEPTEMBER 10, 2023

What I’ve learned from the most popular DL course Photo by Sincerely Media on Unsplash I’ve recently finished the Practical Deep Learning Course from Fast.AI. So you definitely can trust his expertise in Machine Learning and Deep Learning. Luckily, there’s a handy tool to pick up Deep Learning Architecture.

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Deep Learning Neural Network ML Computer Vision 124

Flipboard

NOVEMBER 27, 2024

To address this, we make the first attempt to develop a deep learning framework predicting the transition probabilities of dynamical systems ahead of rate-induced transitions. This study introduces deep learning as an effective prediction tool for these tipping events.

Deep Learning 110

Deep Learning Artificial Intelligence Artificial Intelligence Explainability 110

Towards AI

FEBRUARY 3, 2024

(Left) Photo by Pawel Czerwinski on Unsplash U+007C (Right) Unsplash Image adjusted by the showcased algorithm Introduction It’s been a while since I created this package ‘easy-explain’ and published on Pypi. A few weeks ago, I needed an explainability algorithm for a YoloV8 model. The truth is, I couldn’t find anything.

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Explainability Explainable AI Neural Network Algorithm 126

NVIDIA

JANUARY 6, 2025

NVIDIA GPUs and platforms are at the heart of this transformation, Huang explained, enabling breakthroughs across industries, including gaming, robotics and autonomous vehicles (AVs). The latest generation of DLSS can generate three additional frames for every frame we calculate, Huang explained.

Robotics 144

Robotics Explainability AI AI 144

Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. Forget deep learning for now.

Machine Learning 105

Machine Learning Neural Network Deep Learning Explainability 105

Marktechpost

JUNE 16, 2024

Topological Deep Learning (TDL) advances beyond traditional GNNs by modeling complex multi-way relationships, unlike GNNs that only capture pairwise interactions. Topological Neural Networks (TNNs), a subset of TDL, excel in handling higher-order relational data and have shown superior performance in various machine-learning tasks.

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Deep Learning Neural Network Machine Learning Explainability 130

Marktechpost

MARCH 31, 2024

Solving partial differential equations (PDEs) is complex, just like the events they explain. Deep learning, using designs like U-Nets, is popular for working with information at multiple levels of detail. Earlier methods of solving these equations struggled with the challenge of changes happening over time.

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Deep Learning Explainability ML Artificial Intelligence 135

NVIDIA

JANUARY 24, 2025

Using NVIDIA GPUs, the researchers trained a deep learning model to analyze years of Cassini data in seconds. How It Works At the projects core is Mask R-CNN a deep learning model that doesnt just detect objects. Until now, mapping them has been slow and grueling work. It outlines them pixel by pixel.

Deep Learning 99

Deep Learning Automation AI Explainability 99

Towards AI

NOVEMBER 19, 2023

Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. We will explain intuitively what each one means and how it contributes to the deep learning process.

Deep Learning 126

Deep Learning Neural Network Natural Language Processing Machine Learning 126

Marktechpost

FEBRUARY 24, 2024

State-of-the-art approaches for CMRI segmentation have predominantly concentrated on SAX segmentation using deep learning methods like UNet. Join our 37k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Deep Learning 107

Deep Learning Explainability Automation AI 107

Marktechpost

APRIL 24, 2024

Explainable AI (XAI) aims to balance model explainability with high learning performance, fostering human understanding, trust, and effective management of AI partners. ELI5 is a Python package that helps debug machine learning classifiers and explain their predictions.

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Explainable AI Explainability Neural Network Data Scientist 117

Marktechpost

OCTOBER 8, 2023

The researchers emphasize that this approach of explainability examines an AI’s full prediction process from input to output. Dr. Sebastian Lapuschkin, head of the research group Explainable Artificial Intelligence at Fraunhofer HHI, explains the new technique in more detail. We are also on WhatsApp.

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Deep Learning Neural Network Explainability Artificial Intelligence 140

Unite.AI

JUNE 25, 2023

In a significant breakthrough, the UCLA study intends to combine the deep understanding from data and the real-world know-how of physics, thereby creating a hybrid AI with augmented capabilities.

Computer Vision 361

Computer Vision Robotics Neural Network Hybrid AI 361

PyImageSearch

OCTOBER 28, 2024

Home Table of Contents NeRFs Explained: Goodbye Photogrammetry? Block #A: We Begin with a 5D Input Block #B: The Neural Network and Its Output Block #C: Volumetric Rendering The NeRF Problem and Evolutions Summary and Next Steps Next Steps Citation Information NeRFs Explained: Goodbye Photogrammetry? How Do NeRFs Work?

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Explainability Neural Network Computer Vision Deep Learning 92

PyImageSearch

OCTOBER 14, 2024

This blog post is the 1st of a 3-part series on 3D Reconstruction: Photogrammetry Explained: From Multi-View Stereo to Structure from Motion (this blog post) 3D Reconstruction: Have NeRFs Removed the Need for Photogrammetry? To learn about 3D Reconstruction, just keep reading. 3D Gaussian Splatting: The End Game of 3D Reconstruction?

Explainability 110

Explainability Computer Vision Deep Learning Algorithm 110

Marktechpost

JANUARY 28, 2024

A researcher from the University of Zurich has turned to deep learning as a potent tool. Deep learning models, such as multilayer perceptrons, recurrent neural networks, and transformers, have been employed to forecast the fitness of genotypes based on experimental data. If you like our work, you will love our newsletter.

Explainability 119

Explainability Deep Learning Neural Network Machine Learning 119

Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

Convolutional Neural Networks 400

Convolutional Neural Networks Neural Network Data Science Explainability 400