Analytics Vidhya

MARCH 2, 2023

Most organizations store and process their data in the cloud. Cybersecurity threatens cloud computing resources, including data, applications, and infrastructure. Introduction A guide to securing your data and applications will be presented throughout this article.

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Analytics Vidhya

FEBRUARY 3, 2022

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […]. Times change, technology improves and our lives get better.

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Towards AI

AUGUST 8, 2024

Photo by Marius Masalar on Unsplash Deep learning. A subset of machine learning utilizing multilayered neural networks, otherwise known as deep neural networks. If you’re getting started with deep learning, you’ll find yourself overwhelmed with the amount of frameworks. Let’s answer that question.

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Dataversity

DECEMBER 16, 2020

Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. The post Understanding GPUs for Deep Learning appeared first on DATAVERSITY.

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insideBIGDATA

JUNE 18, 2024

Vultr, the large, privately-held cloud computing platform, today announced that Athos Therapeutics, Inc. Athos”), a clinical-stage biotechnology company, has chosen Vultr Cloud GPU to run its AI model training, tuning, and inference.

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Analytics Vidhya

SEPTEMBER 8, 2021

This article was published as a part of the Data Science Blogathon The speed of Deep learning and neural networks is increasingly indispensable for thousands of industries. One of the main problems they face is deploying complex kinds of applications.

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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). Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1.

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Dataconomy

MARCH 11, 2025

Comparison with deep learning In comparing conventional machine learning with deep learning, the role of target functions illustrates essential differences. Deep learning frameworks often involve more complex target functions due to their ability to process larger datasets with multiple layers of abstraction.

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Flipboard

NOVEMBER 27, 2024

Amazon FSx for Lustre now features Elastic Fabric Adapter and NVIDIA GPUDirect Storage for up to 12x higher throughput to GPUs, unlocking new possibilities in deep learning, autonomous vehicles, and HPC workloads.

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Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

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Heartbeat

MAY 23, 2023

As technology continues to improve exponentially, deep learning has emerged as a critical tool for enabling machines to make decisions and predictions based on large volumes of data. Edge computing may change how we think about deep learning. Standardizing model management can be tricky but there is a solution.

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Dataconomy

MARCH 6, 2025

Distinction between edge AI and cloud AI Understanding the differences between edge AI and cloud AI is crucial for grasping their respective roles in the AI ecosystem. Historically, cloud computing relied on centralized data centers to process vast amounts of information.

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Data Science Dojo

MAY 24, 2024

For example, predictive maintenance in manufacturing uses machine learning to anticipate equipment failures before they occur, reducing downtime and saving costs. Deep Learning Deep learning is a subset of machine learning based on artificial neural networks, where the model learns to perform tasks directly from text, images, or sounds.

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Dataconomy

MARCH 17, 2025

Deep learning techniques have significantly improved how Siri processes and produces speech, ensuring a more natural interaction. Users’ voice inputs are processed through cloud computing systems, where ASR translates spoken language into text.

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Dataconomy

JUNE 16, 2023

Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS). The cloud-based DLP solution from Gamma AI uses cutting-edge deep learning for contextual perception to achieve a data classification accuracy of 99.5%.

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Data Science Dojo

DECEMBER 13, 2024

This summit is renowned for its focus on the latest breakthroughs in artificial intelligence, including deep learning and machine learning. It covers innovations in Microsoft’s technology suite, including cloud computing and AI, offering attendees a comprehensive overview of the latest advancements in these fields.

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Data Science 101

DECEMBER 2, 2019

It is a large learning conference dedicated to Amazon Web Services and Cloud Computing. Based upon the announcements last week , there will probably be a lot of focus around machine learning and deep learning. Parts of the event will be livestreamed , so you can watch from anywhere.

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Pickl AI

DECEMBER 26, 2024

Computer Hardware At the core of any Generative AI system lies the computer hardware, which provides the necessary computational power to process large datasets and execute complex algorithms. Foundation Models Foundation models are pre-trained deep learning models that serve as the backbone for various generative applications.

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Towards AI

APRIL 1, 2024

Image by author (Ideogram) In the realm of data science projects, the excitement lies in the “Intelligent” aspect, where deep learning models successfully make remarkably accurate predictions. Last Updated on April 2, 2024 by Editorial Team Author(s): Wencong Yang Originally published on Towards AI.

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Smart Data Collective

JUNE 4, 2021

Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning when the number of variables (columns) is high. Deep learning is used for speech recognition, board games AI, image recognition, and manipulation. Ensembling.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. We looked at over 25,000 job descriptions for jobs related to NLP, and here are the most important skills, frameworks, programming languages, and cloud services that you should know for careers in NLP.

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Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. This technology is part of artificial intelligence that operates to develop communication between humans and computers.

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AWS Machine Learning Blog

MAY 3, 2023

times the speed for BERT, making Graviton-based instances the fastest compute optimized instances on AWS for these models. How to take advantage of the optimizations The simplest way to get started is by using the AWS Deep Learning Containers (DLCs) on Amazon Elastic Compute Cloud (Amazon EC2) C7g instances or Amazon SageMaker.

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AWS Machine Learning Blog

APRIL 7, 2025

yml file from the AWS Deep Learning Containers GitHub repository, illustrating how the model synthesizes information across an entire repository. Intense competition**: Across geographies and industries, including e-commerce, cloud computing, and digital content.

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Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms.

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Towards AI

DECEMBER 16, 2024

As one of the founders of the Agile Manifesto, puts it: Flexeegile is not replacing, but observing that the nature of computing is richer than it was in the era of Agile when it was about desktop computers. in Computer Science with a focus on Artificial Intelligence. Agile is still as relevant as ever. Dr. Ori Cohen has a Ph.D.

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Heartbeat

DECEMBER 4, 2023

The challenges and successes involved in bringing AI to your palm Photo by Neil Soni on Unsplash The proliferation of machine learning and deep learning algorithms has been ubiquitous and has not left any device with an ounce of processing power behind, even our smartphones.

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Smart Data Collective

DECEMBER 9, 2021

A lot of recent technology, such as cloud computing, automation, and SEO , are already in practice. The advent of AI, machine learning, big data, and blockchain technology are already transforming how many businesses handle their daily operations. Deep learning has been especially useful for small business accounting.

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Smart Data Collective

OCTOBER 13, 2021

Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields). As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools.

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Smart Data Collective

DECEMBER 21, 2020

From cloud computing to vast computational muscle and global connections, systems can now cope with more complicated algorithms than ever before. This is significant because each piece of data input into a system supports the deep learning of AI and the generation of insights. Are we close to AI reliance?

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KDnuggets

JANUARY 8, 2020

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

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Analytics Vidhya

DECEMBER 12, 2022

Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain. Not just the leading technology giants in India but medium and small-scale companies are also betting on data science to revolutionize how business operations are performed.

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Dataconomy

FEBRUARY 6, 2024

When it comes to the role of AI in information technology, machine learning, with its deep learning capabilities, is the best use case. Machine learning algorithms are designed to uncover connections and patterns within data. Besides, the company is to charge $US30 a month for its Generative AI features.

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The MLOps Blog

MARCH 23, 2023

Smart use of cloud computing for computational resources Using cloud computing services can provide on-demand access to powerful computing resources, including CPUs and GPUs. Cloud computing services are flexible and can scale according to your requirements. 2020 or Hoffman et al.,

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Analytics Vidhya

FEBRUARY 28, 2023

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

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Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

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Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

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