Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

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DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

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NYU Center for Data Science

JULY 18, 2023

CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence. Read our research group roundup below and check out their linked websites for more information!

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Pickl AI

APRIL 8, 2024

13 Biggest AI Failures: A Look at the Pitfalls of Artificial Intelligence Artificial intelligence (AI) has become a ubiquitous term, woven into the fabric of our daily lives. Example In 2016, a chatbot developed by Microsoft called Tay was launched on Twitter.

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Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. Template Matching —  Video Tutorial , Written Tutorial 12.

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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. Codebase analysis with Llama 4 Using Llama 4 Scouts industry-leading context window, this section showcases its ability to deeply analyze expansive codebases. billion to a projected $574.78

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PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

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Pickl AI

FEBRUARY 14, 2023

Artificial Intelligence (AI) has emerged as one of the most efficient technologies for business organizations within the last few years. According to the Ministry of Commerce, the number of startups in India has grown from 471 in 2016 to 72,993 in 2022. Artivatic.ai Artivatic.ai Therefore, Betterhalf.ai Wrapping Up!

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ML Review

MAY 3, 2018

Much the same way we iterate, link and update concepts through whatever modality of input our brain takes — multi-modal approaches in deep learning are coming to the fore. While an oversimplification, the generalisability of current deep learning approaches is impressive.

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BAIR

APRIL 6, 2023

Figure 1: “Interactive Fleet Learning” (IFL) refers to robot fleets in industry and academia that fall back on human teleoperators when necessary and continually learn from them over time. These robots use recent advances in deep learning to operate autonomously in unstructured environments.

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Explosion

JANUARY 12, 2018

We founded Explosion in October 2016, so this was our first full calendar year in operation. spaCy In 2017 spaCy grew into one of the most popular open-source libraries for Artificial Intelligence. We set ourselves ambitious goals this year, and we’re very happy with how we achieved them. Here’s what we got done.

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AWS Machine Learning Blog

JANUARY 17, 2024

The underlying Deep Learning Container (DLC) of the deployment is the Large Model Inference (LMI) NeuronX DLC. He retired from EPFL in December 2016.nnIn He focuses on developing scalable machine learning algorithms. Qing has in-depth knowledge on the infrastructure optimization and Deep Learning acceleration.

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Pickl AI

AUGUST 22, 2024

Introduction Deep Learning frameworks are crucial in developing sophisticated AI models, and driving industry innovations. By understanding their unique features and capabilities, you’ll make informed decisions for your Deep Learning applications.

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ODSC - Open Data Science

SEPTEMBER 22, 2023

He is responsible for defining and leading the business that extends the company’s semantic layer platform to address the rapidly expanding set of Enterprise AI and machine learning applications. Alex Watson | Co-Founder | Gretel AI Alex has been a trailblazer in the technology sector, focusing on data security and innovation.

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ML Review

FEBRUARY 26, 2018

Tasks such as “I’d like to book a one-way flight from New York to Paris for tomorrow” can be solved by the intention commitment + slot filing matching or deep reinforcement learning (DRL) model. Chitchatting, such as “I’m in a bad mood”, pulls up a method that marries the retrieval model with deep learning (DL).

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ML Review

JUNE 4, 2018

Hence, as we shall see, attention mechanisms and reinforcement learning are at the forefront of the latest advances — and their success may one day reduce some of the decision-process opacity that harms other areas of artificial intelligence research. Source : Britz (2016)[ 62 ] CNNs can encode abstract features from images.

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AWS Machine Learning Blog

MAY 10, 2023

This distribution includes deep learning frameworks like PyTorch, TensorFlow, and Keras; popular Python packages like NumPy, scikit-learn, and pandas; and IDEs like JupyterLab and the Jupyter Notebook. In 2016, he co-created the Altair package for statistical visualization in Python.

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Heartbeat

FEBRUARY 2, 2024

Visual Question Answering (VQA) stands at the intersection of computer vision and natural language processing, posing a unique and complex challenge for artificial intelligence.

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Heartbeat

SEPTEMBER 13, 2023

Artificial Intelligence systems are known for their remarkable performance in image classification, object detection, image segmentation, and more. The explainability concept involves providing insights into the decisions and predictions made by artificial intelligence (AI) systems and machine learning models.

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Heartbeat

MAY 11, 2023

The first version of YOLO was introduced in 2016 and changed how object detection was performed by treating object detection as a single regression problem. But just because we have all these YOLOs doesn’t mean that deep learning for object detection is a dormant area of research. We pay our contributors, and we don’t sell ads.

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ODSC - Open Data Science

OCTOBER 4, 2024

His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, and deep reinforcement learning algorithms.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration.

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DrivenData Labs

MARCH 30, 2023

Their collaboration has resulted in a dynamic and innovative approach to machine learning, one that will undoubtedly continue to impact the field for years to come. Our team is driven by a shared vision that data is the ultimate source of power for artificial intelligence. What motivated you to participate? :

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Heartbeat

AUGUST 23, 2023

NLP is fundamentally an interdisciplinary field that blends linguistics, computer science, and artificial intelligence to provide robots with the capacity to comprehend and analyze human language. Natural language processing and machine learning for law and policy texts. Artificial intelligence in law: The state of play 2016.

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Dataconomy

FEBRUARY 22, 2023

This flaw in the deep-learning systems that underpin today’s most advanced AI means that they can be vulnerable to “adversarial attacks,” where humans can exploit unknown vulnerabilities to defeat them. This has important implications for drug discovery and other areas of biomedical research.

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AWS Machine Learning Blog

APRIL 16, 2024

Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. AWSTemplateFormatVersion: "2010-09-09" Transform: AWS::Serverless-2016-10-31 Description: CloudFormation template for book hotel bot.

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AWS Machine Learning Blog

MARCH 29, 2023

References Tercan H, “Machine learning and deep learning based predictive quality in manufacturing: a systematic review”, Journal of Intelligent Manufacturing, 2022. His area of specialty is designing architectures and business cases on large scale data processing systems and Machine Learning solutions.

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Towards AI

JULY 20, 2023

This is a 2016 CVPR paper with more than 300 citations. ( Instead of directly predicting the outputs in one go, a self-correcting model is used to progressively change an initial solution by feeding back error predictions. IEF outperforms SOTA such as Tompson NIPS’14.

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Mlearning.ai

FEBRUARY 15, 2023

Deep learning models with multilayer processing architecture are now outperforming shallow or standard classification models in terms of performance [5]. Deep ensemble learning models utilise the benefits of both deep learning and ensemble learning to produce a model with improved generalisation performance.

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Dataconomy

MAY 15, 2023

In 2016, she began her career in social media by going live on YouNow. Caryn Marjorie released an artificial intelligence chatbot in 2023. The impact of artificial intelligence (AI) is being seen across a wide range of industries and spheres of human activity. She regularly updates her over 1.5

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DrivenData Labs

SEPTEMBER 10, 2024

He is an expert in biomedical informatics, general artificial intelligence, cutting-edge machine learning algorithms, and the computational aspects of data science. The Mex-Cog 2016 and 2021 studies are an in-depth cognitive assessment applied to a subsample of age 55 and older from MHAS 2015 and MHAS 2018.

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DrivenData Labs

MAY 1, 2025

Solvers used 2016 demographics, economic circumstances, migration, physical limitations, self-reported health, and lifestyle behaviors to predict a composite cognitive function score in 2021. Next, for participants who had been tested in 2016, I estimated their 2021 scores by adding the predicted score difference to their 2016 scores.

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Smart Data Collective

MAY 18, 2021

The stock market has been highly influenced by advances in big data and artificial intelligence. Kerry, who also signed the Paris Climate Accord on behalf of the US in 2016, has also spoken at length about how big banks and financial institutions are continuing to invest heavily in green business. How is AI used by Tesla?

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PyImageSearch

MAY 1, 2023

And, of course, all of this wouldn’t have been possible without the power of Deep Neural Networks (DNNs) and the massive computation by NVIDIA GPUs. 2016) published the YOLO research community gem, “ You Only Look Once: Unified, Real-Time Object Detection, ” at the CVPR (Computer Vision and Pattern Recognition) Conference.

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Mlearning.ai

FEBRUARY 10, 2023

Back in 2016 I was trying to explain to software engineers how to think about machine learning models from a software design perspective; I told them that they should think of a database. Both serve as a means of storing representations of historical data, which can later be queried. Thanks to Pedro Lapietra for co-editing.

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Towards AI

APRIL 13, 2024

AI and Deepfakes in the Courtroom Image generated by DALL·E From seamlessly swapping audio/visual elements to fabricating entirely false material, the impact of deepfakes on public trust and society looms large, especially in the wake of the 2016 political events like Trump’s presidency in the US and Brexit in the UK[1].

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