O'Reilly on Data

MAY 21, 2019

Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. Machine learning is not only appearing in more products and systems, but as we noted in a previous post , ML will also change how applications themselves get built in the future.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 272

Big Data Technology Machine Learning Deep Learning 272

Analytics Vidhya

DECEMBER 23, 2024

Deep learning intelligent agents are revolutionizing the concept of machine and technology around us. Cognitive systems are able to reason, decide, operate and even solve problems without human interferences.

Deep Learning 206

Deep Learning Technology Analytics 206

Analytics Vidhya

FEBRUARY 25, 2023

Introduction In recent years, the evolution of technology has increased tremendously, and nowadays, deep learning is widely used in many domains. This has achieved great success in many fields, like computer vision tasks and natural language processing.

Deep Learning 336

Deep Learning Machine Learning Technology Analytics 336

Analytics Vidhya

FEBRUARY 11, 2023

Introduction We have seen some fancy terms for AI and deep learning, such as pre-trained models, transfer learning, etc. Let me educate you with a widely used technology and one of the most important and effective: Transfer learning with YOLOv5.

Deep Learning 336

Deep Learning Modeling Technology Analytics 336

Analytics Vidhya

FEBRUARY 6, 2023

Introduction Deep learning has revolutionized computer vision and paved the way for numerous breakthroughs in the last few years. One of the key breakthroughs in deep learning is the ResNet architecture, introduced in 2015 by Microsoft Research.

Deep Learning 353

Deep Learning Analytics IT Technology 353

Analytics Vidhya

OCTOBER 20, 2021

The technological advancement in different sectors has left everyone shocked. we are now at a point where deep learning and neural networks are so powerful that can […]. This article was published as a part of the Data Science Blogathon There are many ways a machine can be taught to generate an output on unseen data.

Deep Learning 379

Deep Learning Data Science Publishing Technology 379

Analytics Vidhya

FEBRUARY 15, 2023

Introduction PyTorch is a popular open-source machine-learning library that has recently gained immense popularity among data scientists and researchers. With its easy-to-use interface, dynamic computational graph, and rich ecosystem of tools and resources, PyTorch has made deep learning accessible to a wider audience than ever before.

Deep Learning 326

Deep Learning Machine Learning Technology Analytics 326

Analytics Vidhya

APRIL 30, 2023

University College London and Moorfields Eye Hospital researchers have created a ground-breaking deep-learning AI tool. The technology automatically identifies infants in danger of the disorder, which affects preterm babies.

Deep Learning 305

Deep Learning Technology Analytics 305

Analytics Vidhya

MAY 31, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Problem Statement In this era of technological revolution, where everything is. The post Hand Gesture Recognition using Colour Based Technology appeared first on Analytics Vidhya.

Technology 271

Technology Data Science Publishing Analytics 271

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. Times change, technology improves and our lives get better. Deep learning, natural language processing, and computer vision are examples […].

Data Science 319

Data Science Deep Learning Big Data Machine Learning 319

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Exclusive Bonus Content: Download our Top 10 Technology Buzzwords! One of the IT buzzwords you must take note of in 2020.

Technology 279

Technology Internet of Things IT IoT 279

Corinium

SEPTEMBER 6, 2021

RE•WORK is the leading events provider for deep learning as well as applied AI. Its events have been bringing together the latest technological advancements as well as practical examples to apply AI to solve challenges in business and society since 2013. Find out more here: [link]. About RE•WORK.

B2B 435

B2B Deep Learning Digital Transformation Data Processing 435

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Natural language processing, deep learning, speech recognition, and pattern identification are just a few artificial intelligence technologies that have consistently advanced in recent years. This has helped chatbots grow significantly.

Machine Learning 291

Machine Learning Modeling Deep Learning Technology 291

Analytics Vidhya

JUNE 6, 2022

The deep learning-based model provides scene text detection or bounding boxes of text in an image. This article was published as a part of the Data Science Blogathon. Image source: [link] Introduction In this article, we study the “Character region Awareness for Text Detection” model by Clova AI research, Naver Corp.

Deep Learning 380

Deep Learning Data Science Publishing Modeling 380

Analytics Vidhya

APRIL 16, 2023

Introduction: The Era of Generative AI Generative AI has gained significant traction in recent years, with the potential to revolutionize the way we create content, design products, and interact with technology. The Creative Intelligence Behind ChatGPT appeared first on Analytics Vidhya.

Deep Learning 306

Deep Learning Interactive Modeling Technology 306

Analytics Vidhya

MARCH 30, 2022

Introduction AI and machine vision, which were formerly considered futuristic technology, has now become mainstream, with a wide range of applications ranging from automated robot assembly to automatic vehicle guiding, analysis of remotely sensed images, and automated visual inspection. Computer vision and deep learning […].

Deep Learning 270

Deep Learning Visualization Data Science Publishing 270

Analytics Vidhya

APRIL 22, 2023

This emerging threat, known as “deepfake audio,” combines “deep learning” with “fake” to create highly realistic voice clones capable of deceiving victims.

Deep Learning 319

Deep Learning Analytics Technology 319

Smart Data Collective

FEBRUARY 23, 2023

Although there are plenty of tech jobs out there at the moment thanks to the tech talent gap and the Great Resignation, for people who want to secure competitive packages and accelerate their software development career with sought-after java jobs , a knowledge of deep learning or AI could help you to stand out from the rest.

Deep Learning 111

Deep Learning Software Risk Testing 111

Analytics Vidhya

FEBRUARY 26, 2024

Introduction Processing power is always evolving, with new technologies addressing specific challenges. Language Processing Units (LPUs) have emerged alongside Graphics Processing Units (GPUs), known for tasks like deep learning. LPUs specialize in complex language tasks, potentially surpassing GPUs in efficiency.

Deep Learning 281

Deep Learning Technology Analytics Data Science 281

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. We found companies were planning to use deep learning over the next 12-18 months.

Deep Learning 271

Deep Learning Machine Learning Data Science Metadata 271

KDnuggets

DECEMBER 10, 2021

Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

Machine Learning 160

Machine Learning Data Science Technology Deep Learning 160

O'Reilly on Data

MARCH 18, 2020

More than half of respondent organizations identify as “mature” adopters of AI technologies: that is, they’re using AI for analysis or in production. Supervised learning is the most popular ML technique among mature AI adopters, while deep learning is the most popular technique among organizations that are still evaluating AI.

Enterprise 349

Enterprise Deep Learning Data Governance Risk 349

Analytics Vidhya

JANUARY 15, 2025

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.

Modeling 271

Modeling Machine Learning Finance Technology 271

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

JUNE 2, 2022

Hot technologies for banks also include 5G , natural language processing (NLP) , microservices architecture , and computer vision, according to Forrester’s recent Top Emerging Technologies in Banking In 2022 report. 5G aids customer service. 5G aids customer service. 5G aids customer service.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

O'Reilly on Data

AUGUST 18, 2020

In contrast, best-of-breed products take a more craftsman approach: they do one thing well and move quickly (often they are the ones driving technological change). The worlds of data science and machine learning move at a much faster pace than data warehousing and much of data engineering. Let’s dive into these reasons in more depth.

Data Science 364

Data Science Machine Learning Data Warehouse Deep Learning 364

Rocket-Powered Data Science

JULY 6, 2021

These data-fueled innovations come in the form of new algorithms, new technologies, new applications, new concepts, and even some “old things made new again”. 1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Smart Data Collective

DECEMBER 9, 2021

It’s no secret that big data technology has transformed almost every aspect of our lives — and that’s especially true in business, which has become more tech-driven and sophisticated than ever. A lot of recent technology, such as cloud computing, automation, and SEO , are already in practice. billion last year. Remote Work.

Technology 133

Technology Big Data Machine Learning Deep Learning 133

O'Reilly on Data

FEBRUARY 4, 2019

How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Machine Learning model lifecycle management.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

CIO Business Intelligence

NOVEMBER 19, 2024

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both.

Management 116

Management Unstructured Data Deep Learning Metadata 116

O'Reilly on Data

SEPTEMBER 12, 2018

Watch " Managing risk in machine learning.". Von Neumann to deep learning: Data revolutionizing the future. Jeffrey Wecker offers a deep dive on data in financial services, with perspectives on data science, alternative data, the importance of data centricity, and the future of machine learning and AI.

IoT 222

IoT Machine Learning Deep Learning Data Science 222

datapine

MAY 14, 2019

2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Best for: This best data science book is especially effective for those looking to enter the data-driven machine learning and deep learning avenues of the field. “Machine Learning Yearning” by Andrew Ng.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Analytics Vidhya

APRIL 5, 2023

In a recent YouTube series, the Ex-Google engineer spoke of the incredible advancements in technology that will lead to eternal life. He […] The post Futurist Ray Kurzweil Claims Humans Will Achieve Immortality by 2030 appeared first on Analytics Vidhya.

Technology 400

Technology Analytics Deep Learning 400

O'Reilly on Data

DECEMBER 10, 2019

Training models isn’t well understood yet, at least not within companies that haven’t already invested significantly in technology (in general) or AI (in particular). Those tools are starting to appear, particularly for building deep learning models. Most companies don’t have the AI expertise to implement Karpathy’s vision.

Software 339

Software Machine Learning Risk Data-driven 339

CIO Business Intelligence

FEBRUARY 6, 2025

Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Typically, the initial excitement about the latest and greatest technology can blind us to practical considerations. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. But these powerful technologies also introduce new risks and challenges for enterprises. Learn more about watsonx.ai We stand on the frontier of an AI revolution.

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128