Analytics Vidhya

APRIL 3, 2019

Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. The post Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019 appeared first on Analytics Vidhya. They have helped me develop.

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Machine Learning Computer Vision Deep Learning Data Science 289

Analytics Vidhya

MAY 28, 2019

Introduction I love reading and decoding machine learning research papers. The post Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule appeared first on Analytics Vidhya. There is so much incredible information to parse through – a goldmine for us.

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Neural Network Machine Learning Deep Learning NLP 288

Analytics Vidhya

OCTOBER 10, 2019

The post 7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019 appeared first on Analytics Vidhya. Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be.

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Heartbeat

NOVEMBER 29, 2023

Two names stand out prominently in the wide realm of deep learning: TensorFlow and PyTorch. These strong frameworks have changed the field, allowing researchers and practitioners to create and deploy cutting-edge machine learning models. TensorFlow and PyTorch present distinct routes to traverse.

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Deep Learning Neural Network Machine Learning Python 59

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.

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Deep Learning Convolutional Neural Networks Explainability Neural Network 59

Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

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Unite.AI

OCTOBER 26, 2023

Let's compare this to 2019, when I acquired Unite.ai At the time I believed that deep reinforcement learning algorithms would eventually lead to an AI explosion, and it only made sense that the AI industry would adopt the.ai was born, and it serves as an example of the price difference between 2019 and 2023. for $537.

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Computer Vision Deep Learning Neural Network Machine Learning 52

AI Impacts

OCTOBER 18, 2023

Here is a summary version of the spreadsheet in a table, for readers who prefer this format: Sources cited in this post Grace, Argument for AI x-risk from competent malign agents (2023) Hendrycks et al, An Overview of Catastrophic AI Risks (2023) Ngo, Chan and Mindermann, The Alignment Problem from a Deep Learning Perspective (2023) TJ, Key Phenomena (..)

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Analytics Vidhya

JUNE 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon COVID-19 COVID-19 (coronavirus disease 2019) is a disease that causes respiratory. The post How to Detect COVID-19 Cough From Mel Spectrogram Using Convolutional Neural Network appeared first on Analytics Vidhya.

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Convolutional Neural Networks Neural Network Data Science Computer Vision 395

AI News

AUGUST 31, 2023

It is powered by ERNIE (Enhanced Representation through Knowledge Integration), a powerful deep learning model. ERNIE Bot can generate text, images, and videos based on natural language inputs.

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Analytics Vidhya

JANUARY 6, 2020

Introduction What a time to be working in the deep learning space! 2019 was chock full of deep learning-powered developments and breakthroughs – it. The post A Comprehensive Learning Path for Deep Learning in 2020 appeared first on Analytics Vidhya.

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Deep Learning Computer Vision Python 242

NLP People

JANUARY 2, 2019

So, what’s new in the world of machine translation and what can we expect in 2019? Nonetheless, it was interesting to see Google AI present a systematic comparison of BPE and character-based ways of handling out-of-vocabulary words from deep learning perspective. 3-Is Automatic Post-Editing (APE) a Thing?

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Marktechpost

SEPTEMBER 4, 2023

The standard development queries and queries from the TREC 2019 and TREC 2020 Deep Learning Tracks were used for evaluation. The experiments focused on the MS MARCO passage ranking test collection, built on a corpus comprising approximately 8.8 million passages extracted from the web.

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AI Researcher AI Research OpenAI Neural Network 129

Unite.AI

FEBRUARY 26, 2024

adults (71%) sharing these concerns, up from 64% in 2019. Among these cases were lawsuits filed by artists who accused developers of deep learning and text-to-image models such as Stable Diffusion and Midjourney of utilizing their digital art in AI training without consent.

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Chatbots Categorization ChatGPT Deep Learning 162

Dlabs.ai

MARCH 17, 2021

And her research expertise spans AI, machine learning , deep learning , computer vision , and cognitive neuroscience. To find out more about deep learning, check this Dlabs.AI He’s a Principal Scientist at Google DeepMind and Team Lead of the Deep Learning group.

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The Stanford AI Lab Blog

FEBRUARY 24, 2022

2019 , Berthelot et al., 2019 , Xie et al., 2019 , Sohn et al., Strong data augmentation, which applies stronger alterations to the input image than traditionally used in supervised learning, is also very useful for self-supervised contrastive learning, which we will analyze in the follow-up blog post.

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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. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

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AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation. Get it today!]

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Neural Network Robotics Natural Language Processing Convolutional Neural Networks 204

NYU Center for Data Science

OCTOBER 10, 2023

“A lot happens to these interpretability artifacts during training,” said Chen, who believes that by only focusing on the end result, we might be missing out on understanding the entire journey of the model’s learning. The paper is a case study of syntax acquisition in BERT (Bidirectional Encoder Representations from Transformers).

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BERT Deep Learning Machine Learning Data Science 75

Bugra Akyildiz

AUGUST 6, 2023

However, it was back in 2018-2019, ChatGPT has not taken over the industry both in terms of model accuracy, but also overall deployment options. Model as a Service MaaS provides access to pre-trained models, which are whole deep learning models that can be used for a variety of tasks.

Natural Language Processing 52

Natural Language Processing Deep Learning NLP ChatGPT 52

Towards AI

APRIL 22, 2024

In fact, a 2019 report published by NIST found a 10 to 100 times differential in the rates of false positive recognition of Asian and African American faces versus Caucasians5. This leads to a high inaccuracy rate when identifying people of colour.

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Algorithm Computer Vision Deep Learning Machine Learning 99

Flipboard

JULY 10, 2023

RF Diffusion, a deep learning tool. Senior scientist Bobby Langan shows a video of one of his favorite deep-learning tools, used to create experimental cancer therapeutics. Senior scientist Bobby Langan shows a video of one of his favorite deep-learning tools, used to create experimental cancer therapeutics.

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AWS Machine Learning Blog

OCTOBER 5, 2023

He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. an AI start-up, and worked as the CEO and Chief Scientist in 2019–2021.

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Machine Learning Big Data Deep Learning Natural Language Processing 97

AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. In this post, we showed cost-efficient training of LLMs on AWS deep learning hardware. Ben Snyder is an applied scientist with AWS Deep Learning.

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Deep Learning Large Language Models Machine Learning Big Data 96

Towards AI

FEBRUARY 3, 2024

eds) Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. PLoS ONE 10(7), e0130140 (2015) [2] Montavon, G., Lapuschkin, S., Müller, KR. Layer-Wise Relevance Propagation: An Overview. In: Samek, W., Montavon, G., Vedaldi, A., Müller, KR. Lecture Notes in Computer Science(), vol 11700. Springer, Cham.

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Explainability Explainable AI Neural Network AI 115

Towards AI

APRIL 19, 2024

Intelligent Medical Objects 👉Industry domain: AI, Health Tech, IT, NLP, Software, Analytics, Generative AI 👉Location: 3 offices 👉Year founded: 1994 👉Programming languages deployed: Angular, C#, SQL, Scikit, TensorFlow, Spark, GitHub, R, Python 👉Benefits: Flexible time off, family medical leave, pet insurance, (..)

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Generative AI AI AI Artificial Intelligence 87

Heartbeat

DECEMBER 14, 2023

LeCun received the 2018 Turing Award (often referred to as the "Nobel Prize of Computing"), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning. Hinton is viewed as a leading figure in the deep learning community. > Finished chain. ") > Entering new AgentExecutor chain.

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Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

Heartbeat

DECEMBER 8, 2023

He focused on generative AI trained on large language models, The strength of the deep learning era of artificial intelligence has lead to something of a renaissance in corporate R&D in information technology, according to Yann LeCun, chief AI. Hinton is viewed as a leading figure in the deep learning community.

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AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. The DJL was created at Amazon and open-sourced in 2019. The architecture of DJL is engine agnostic.

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Artificial Corner

AUGUST 3, 2023

The platform can be trained on 3 models which are machine learning, deep learning, and natural language processing (NLP). To improve the prediction, the company used deep learning architecture from 2019 onwards. Michelangelo is the de-facto platform that is used by all the internal teams of Uber.

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ML Machine Learning Data Scientist Deep Learning 98

Mlearning.ai

JUNE 14, 2023

YouTube Introduction to Sequence Learning and Attention Mechanisms Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 8 — Translation, Seq2Seq, Attention — YouTube Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 7 — Translation, Seq2Seq, Attention — YouTube 2.

Neural Network 52

Neural Network Large Language Models BERT Natural Language Processing 52

Heartbeat

MARCH 15, 2023

An open-source machine learning model called BERT was developed by Google in 2018 for NLP, but this model had some limitations, and due to this, a modified BERT model called RoBERTa (Robustly Optimized BERT Pre-Training Approach) was developed by the team at Facebook in the year 2019. What is RoBERTa?

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BERT NLP Deep Learning Neural Network 52

Pickl AI

JANUARY 3, 2024

Geographic Variations: The average salary of a Machine Learning professional in India is ₹12,95,145 per annum. Career Advancement: Professionals can enhance earning potential by acquiring in-demand skills like Natural Language Processing, Deep Learning, and relevant certifications aligned with industry needs.

Machine Learning 52

Machine Learning Natural Language Processing Deep Learning Computer Vision 52

Artificial Corner

APRIL 2, 2024

Subscribe now NVIDIA's Impact on AI From the early stages of Deep Learning, which we might now view with a touch of nostalgia, the journey wouldn't have been possible without the simultaneous evolution of the graphics card market. As AI models grew in complexity and size, NVIDIA's expansion became inevitable.

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Robotics OpenAI AI AI 52

AWS Machine Learning Blog

APRIL 6, 2023

For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We evaluated the WAPE for all BLs in the auto end market for 2019, 2020, and 2021. In 2019 and 2020, our model achieved less than 0.1

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Machine Learning ML Categorization Data Scientist 78

Unite.AI

JUNE 2, 2023

For instance, the malfunctioning of the AI software called Maneuvering Characteristics Augmentation System (MCAS) is attributed in part to the crash of the two Boeing 737 MAX, first in October 2018 and then in March 2019. Sadly, the two crashes killed 346 people. How Can We Overcome the Risks of AI Systems?

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Responsible AI AI AI AI Developer 231