ODSC - Open Data Science

MARCH 12, 2025

As a machine learning (ML) practitioner, youve probably encountered the inevitable request: Can we do something with AI? Stephanie Kirmer, Senior Machine Learning Engineer at DataGrail, addresses this challenge in her talk, Just Do Something with AI: Bridging the Business Communication Gap for ML Practitioners.

ML 52

ML Machine Learning AI AI 52

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. I’ve passed many ML courses before, so that I can compare. So you definitely can trust his expertise in Machine Learning and Deep Learning.

Deep Learning 124

Deep Learning Neural Network ML Computer Vision 124

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 126

Deep Learning Python Neural Network Artificial Intelligence 126

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.

Explainable AI 114

Explainable AI Explainability Neural Network Data Scientist 114

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.

Deep Learning 135

Deep Learning Explainability ML Artificial Intelligence 135

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.

Deep Learning 128

Deep Learning Neural Network Machine Learning Explainability 128

The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. This is where visualizations in ML come in.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

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?

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

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.

Deep Learning 140

Deep Learning Neural Network Explainability Artificial Intelligence 140

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. Also, don’t forget to follow us on Twitter and Google News.

Deep Learning 105

Deep Learning Explainability Automation AI 105

Marktechpost

DECEMBER 22, 2023

Recent advancements led a team of scientists to develop a novel approach utilizing deep learning, a computer program capable of learning patterns and making predictions. Notably, the distinguishing feature of this approach is its transparency; the program can explain its decisions rather than operating as an opaque black box.

Deep Learning 107

Deep Learning Explainability AI Researcher AI Research 107

Flipboard

FEBRUARY 10, 2025

Whether youre new to Gradio or looking to expand your machine learning (ML) toolkit, this guide will equip you to create versatile and impactful applications. Using the Ollama API (this tutorial) To learn how to build a multimodal chatbot with Gradio, Llama 3.2, and the Ollama API, just keep reading. Thats not the case.

Chatbots 149

Chatbots Computer Vision Deep Learning Large Language Models 149

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. Also, don’t forget to follow us on Twitter.

Explainability 117

Explainability Deep Learning Neural Network Machine Learning 117

Unite.AI

DECEMBER 1, 2023

Exploring the Techniques of LIME and SHAP Interpretability in machine learning (ML) and deep learning (DL) models helps us see into opaque inner workings of these advanced models. SHAP demystifies this by quantifying the contribution of each feature, offering a clearer map of the model’s decision-making pathways.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Unite.AI

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Explainability is essential for accountability, fairness, and user confidence. Transparency is fundamental for responsible AI usage.

Composite AI 182

Composite AI Explainability Black Box AI Explainable AI 182

Marktechpost

NOVEMBER 30, 2023

Researchers from Lund University and Halmstad University conducted a review on explainable AI in poverty estimation through satellite imagery and deep machine learning. The review underscores the significance of explainability for wider dissemination and acceptance within the development community.

Deep Learning 98

Deep Learning AI Researcher AI Research Neural Network 98

Marktechpost

JULY 22, 2024

With deep learning models like BERT and RoBERTa, the field has seen a paradigm shift. This lack of explainability is a gap in academic interest and a practical concern. Existing methods for AV have advanced significantly with the use of deep learning models.

Explainability 103

Explainability BERT Large Language Models Deep Learning 103

Google Research AI blog

MARCH 14, 2023

Developing machine learning (ML) tools in pathology to assist with the microscopic review represents a compelling research area with many potential applications. While these efforts focus on using ML to detect or quantify known features, alternative approaches offer the potential to identify novel features.

Deep Learning 95

Deep Learning ML Machine Learning Explainability 95

Marktechpost

AUGUST 15, 2023

Data may be viewed as having a structure in various areas that explains how its components fit together to form a greater whole. Most current deep-learning models make no explicit attempt to represent the intermediate structure and instead seek to predict output variables straight from the input.

Deep Learning 98

Deep Learning Algorithm Explainability Machine Learning 98

PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

Computer Vision 90

Computer Vision Deep Learning Neural Network Artificial Intelligence 90

Marktechpost

MARCH 28, 2024

Deep Learning (Adaptive Computation and Machine Learning series) This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information on the different deep learning techniques used in various industrial applications.

Artificial Intelligence 142

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 142

AI Weekly

SEPTEMBER 14, 2023

eweek.com Robots that learn as they fail could unlock a new era of AI Asked to explain his work, Lerrel Pinto, 31, likes to shoot back another question: When did you last see a cool robot in your home? As it relates to businesses, AI has become a positive game changer for recruiting, retention, learning and development programs.

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 264

Flipboard

MARCH 7, 2023

This post presents a solution that uses a workflow and AWS AI and machine learning (ML) services to provide actionable insights based on those transcripts. We use multiple AWS AI/ML services, such as Contact Lens for Amazon Connect and Amazon SageMaker , and utilize a combined architecture.

ML 123

ML Deep Learning Algorithm Categorization 123

Marktechpost

DECEMBER 14, 2024

Despite significant progress with deep learning models like AlphaFold and ProteinMPNN, there is a gap in accessible educational resources that integrate foundational machine learning concepts with advanced protein engineering methods. It explains how CNNs utilize convolutional layers to extract spatial features from input data.

Deep Learning 79

Deep Learning Machine Learning Neural Network Explainability 79

Marktechpost

DECEMBER 15, 2023

They explained that the higher resolution of precipitation events simulated with this method will allow for a better estimation of the impacts the weather conditions that caused the flooding of the river Ahr in 2021 would have had in a world warmer by 2 degrees. If you like our work, you will love our newsletter.

Deep Learning 103

Deep Learning Convolutional Neural Networks Neural Network Artificial Intelligence 103

Flipboard

JANUARY 16, 2025

& µg∕mL, 25.78& & µg∕mL, and ˃ 100& µg∕mL against non-small Lung cancer (A-549), Human Melanoma (A-375), and Human epidermoid Skin carcinoma (skin/epidermis) (A-431) respectively. & µg/ml respectively). & µg/ml respectively).

Deep Learning 81

Deep Learning Artificial Intelligence Artificial Intelligence Explainability 81

Marktechpost

NOVEMBER 20, 2024

The Semantic Re-encoding Deep Learning Model (SRDLM) can also be used to improve traffic distinguishability and algorithmic generalization, as presented by the prior researchers. This research demonstrates the powerful potential of deep learning in enhancing intrusion detection systems against DDoS attacks.

Deep Learning 81

Deep Learning Convolutional Neural Networks Neural Network Algorithm 81

AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). In this example, we use the DBpedia Ontology dataset.

Explainability 96

Explainability Algorithm Natural Language Processing Machine Learning 96

Artificial Corner

AUGUST 3, 2023

After the launch of ChatGPT in late 2022, many companies have started to implement their own AI and ML technologies in their platforms. AI-first companies are those who in their every product and workflow implement AI and ML. In ML, Uber focuses on two domains i.e., operations and research. Such is the case for Uber.

ML 98

ML Machine Learning Data Scientist Deep Learning 98

IBM Journey to AI blog

JANUARY 10, 2024

Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

AWS Machine Learning Blog

FEBRUARY 28, 2025

As organizations adopt AI and machine learning (ML), theyre using these technologies to improve processes and enhance products. In this post, we explain how Automat-it helped this customer achieve a more than twelvefold cost savings while keeping AI model performance within the required performance thresholds.

DevOps 107

DevOps AI AI Deep Learning 107

Pickl AI

AUGUST 23, 2024

Summary: This blog post delves into the importance of explainability and interpretability in AI, covering definitions, challenges, techniques, tools, applications, best practices, and future trends. For instance, if a model predicts that a loan application should be denied, explainability seeks to clarify the rationale behind this decision.

Explainability 52

Explainability Deep Learning Machine Learning Neural Network 52

Marktechpost

JUNE 28, 2024

Deep Learning (Adaptive Computation and Machine Learning series) This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information on the different deep learning techniques used in various industrial applications.

Artificial Intelligence 114

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 114

ODSC - Open Data Science

MARCH 12, 2025

20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques. While traditional machine learning remains fundamental, its dominance has waned in the face of deep learning and automated machine learning (AutoML).

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

Marktechpost

MAY 5, 2024

In recent years, the demand for AI and Machine Learning has surged, making ML expertise increasingly vital for job seekers. Additionally, Python has emerged as the primary language for various ML tasks. Participants also gain hands-on experience with open-source frameworks and libraries like TensorFlow and Scikit-learn.

Machine Learning 117

Machine Learning Python Neural Network Convolutional Neural Networks 117

Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. 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 59

Deep Learning Convolutional Neural Networks Neural Network Explainability 59

Marktechpost

APRIL 5, 2024

In their paper, the researchers aim to propose a theory that explains how transformers work, providing a definite perspective on the difference between traditional feedforward neural networks and transformers. Despite their widespread usage, the theoretical foundations of transformers have yet to be fully explored. Check out the Paper.

Neural Network 124

Neural Network Natural Language Processing Categorization Explainability 124