AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance.

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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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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?

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Analytics Vidhya

MAY 1, 2023

Introduction You call artificial intelligence and machine learning magic. While this debate continues in the chorus, PwC’s global AI study says that the global economy will see a boost of 14% in GDP […] The post Emerging Trends in AI and ML in 2023 & Beyond appeared first on Analytics Vidhya.

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ML Artificial Intelligence Artificial Intelligence Machine Learning 328

Marktechpost

NOVEMBER 14, 2024

By processing complex data formats, deep learning has transformed various domains, including finance, healthcare, and e-commerce. However, applying deep learning models to tabular data, characterized by rows and columns, poses unique challenges.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

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Unite.AI

DECEMBER 17, 2024

As AI disrupts nearly every industry, the agriculture sector, which faces significant obstacles on multiple fronts, is cautiously embracing machine learning, computer vision, and other data-driven processes. The tractor didnt just offer farmers a tool to improve their business operations, it also helped supplement food supplies.

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Analytics Vidhya

JUNE 20, 2024

Introduction An introduction to machine learning (ML) or deep learning (DL) involves understanding two basic concepts: parameters and hyperparameters. When I came across these terms for the first time, I was confused because they were new to me.

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Marktechpost

FEBRUARY 23, 2025

Microsoft Researchers have introduced BioEmu-1, a deep learning model designed to generate thousands of protein structures per hour. Technical Details The core of BioEmu-1 lies in its integration of advanced deep learning techniques with well-established principles from protein biophysics.

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AI News

JULY 28, 2023

AI and machine learning are reshaping the job landscape, with higher incentives being offered to attract and retain expertise amid talent shortages. According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years.

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Unite.AI

OCTOBER 27, 2024

stands as Google's flagship JavaScript framework for machine learning and AI development, bringing the power of TensorFlow to web browsers and Node.js The framework also supports transfer learning, enabling developers to fine-tune existing models for specific use cases while minimizing computational requirements. TensorFlow.js

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Analytics Vidhya

DECEMBER 14, 2023

Introduction In the era of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), the demand for formidable computational resources has reached a fever pitch. This digital revolution has propelled us into uncharted territories, where data-driven insights hold the keys to innovation.

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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.

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Unite.AI

FEBRUARY 6, 2025

The exponential rise of generative AI has brought new challenges for enterprises looking to deploy machine learning models at scale. TrueFoundry offers a unified Platform as a Service (PaaS) that empowers enterprise AI/ML teams to build, deploy, and manage large language model (LLM) applications across cloud and on-prem infrastructure.

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DevOps Machine Learning Large Language Models Automation 179

AWS Machine Learning Blog

DECEMBER 12, 2024

The new SDK is designed with a tiered user experience in mind, where the new lower-level SDK ( SageMaker Core ) provides access to full breadth of SageMaker features and configurations, allowing for greater flexibility and control for ML engineers. This is usually achieved by providing the right set of parameters when using an Estimator.

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Marktechpost

FEBRUARY 15, 2025

Quantization is a crucial technique in deep learning for reducing computational costs and improving model efficiency. Also,feel free to follow us on Twitter and dont forget to join our 75k+ ML SubReddit.

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AI News

JUNE 3, 2024

Harnessing the Power of Machine Learning and Deep Learning At TickLab, our innovative approach is deeply rooted in the advanced capabilities of machine learning (ML) and deep learning (DL). Leveraging extensive financial and real estate data, E.D.I.T.H.

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The MLOps Blog

MARCH 13, 2025

In our paper Bayesian Deep Learning is Needed in the Age of Large-Scale AI , we argue that the case above is not the exception but rather the rule and a direct consequence of the research community’s focus on predictive accuracy as a single metric of interest.

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Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Roles like AI Engineer, Machine Learning Engineer, and Data Scientist are increasingly requiring expertise in Generative AI.

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AI Engineer Generative AI Neural Network BERT 98

Unite.AI

JANUARY 24, 2025

Claudionor Coelho is the Chief AI Officer at Zscaler, responsible for leading his team to find new ways to protect data, devices, and users through state-of-the-art applied Machine Learning (ML), Deep Learning and Generative AI techniques. He also held ML and deep learning roles at Google.

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Deep Learning Generative AI AI AI 246

Analytics Vidhya

JULY 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Difference between AI, ML, and DL Everyone wants to become a. The post AI VS ML VS DL-Let’s Understand The Difference appeared first on Analytics Vidhya.

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ML Data Science AI AI 291

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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Data Science Machine Learning Big Data Data Mining 175

AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. SageMaker Processing provisions cluster resources for you to run city-, country-, or continent-scale geospatial ML workloads.

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Analytics Vidhya

FEBRUARY 2, 2022

Table of contents Overview Traditional Software development Life Cycle Waterfall Model Agile Model DevOps Challenges in ML models Understanding MLOps Data Engineering Machine Learning DevOps Endnotes Overview: MLOps According to research by deeplearning.ai, only 2% of the companies using Machine Learning, Deep learning have […].

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Marktechpost

FEBRUARY 8, 2025

As deep learning models continue to grow, the quantization of machine learning models becomes essential, and the need for effective compression techniques has become increasingly relevant. Dont Forget to join our 75k+ ML SubReddit. Check out the Paper.

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Large Language Models Machine Learning Deep Learning Artificial Intelligence 82

Analytics Vidhya

APRIL 26, 2022

Introduction on Binary Classification Artificial Intelligence, Machine Learning and Deep Learning are transforming various domains and industries. ML is used in healthcare for a variety of purposes. This article was published as a part of the Data Science Blogathon. One such domain is the field of Healthcare.

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AI News

MARCH 8, 2024

Hugging Face , the startup behind the popular open source machine learning codebase and ChatGPT rival Hugging Chat, is venturing into new territory with the launch of an open robotics project. Until now, Hugging Face has primarily focused on software offerings like its machine learning codebase and open-source chatbot.

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Robotics Big Data Deep Learning Machine Learning 315

How to Learn Machine Learning

DECEMBER 24, 2024

If you’re diving into the world of machine learning, AWS Machine Learning provides a robust and accessible platform to turn your data science dreams into reality. Introduction Machine learning can seem overwhelming at first – from choosing the right algorithms to setting up infrastructure.

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Marktechpost

NOVEMBER 16, 2024

Over two weeks, you’ll learn to extract features from images, apply deep learning techniques for tasks like classification, and work on a real-world project to detect facial key points using a convolutional neural network (CNN).

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Analytics Vidhya

FEBRUARY 28, 2024

Thanks to the innovative platform Runway ML, this captivating feat is now within reach.

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Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

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NVIDIA

MARCH 6, 2025

Disneys ML Denoiser: Revolutionizing Rendering Fabrice Rousselle was honored with a Scientific and Engineering Award, alongside Thijs Vogels, David Adler, Gerhard Rthlin and Mark Meyer, for his work on Disneys ML Denoiser. link] In this extreme example of four samples average per pixel, Disneys ML Denoiser does a remarkable job.

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Analytics Vidhya

AUGUST 7, 2024

Introduction As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML). appeared first on Analytics Vidhya.

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Artificial Intelligence Artificial Intelligence Machine Learning ML 349

Flipboard

SEPTEMBER 4, 2023

Home Table of Contents Getting Started with Docker for Machine Learning Overview: Why the Need? How Do Containers Differ from Virtual Machines? Finally, we will top it off by installing Docker on our local machine with simple and easy-to-follow steps. How Do Containers Differ from Virtual Machines?

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Machine Learning Computer Vision Deep Learning Python 153

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. ML is unfit for the task. He holds a B.Sc Not all AI is equal.

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Deep Learning Explainability Neural Network Metadata 278

Pickl AI

NOVEMBER 29, 2024

Summary: Hydra simplifies process configuration in Machine Learning by dynamically managing parameters, organising configurations hierarchically, and enabling runtime overrides. It enhances scalability, experimentation, and reproducibility, allowing ML teams to focus on innovation.

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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.

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