NYU Center for Data Science

OCTOBER 16, 2024

In the wake of OpenAI’s announcement of their new o1 model, CDS Professor of Computer Science and Data Science Kyunghyun Cho tweeted, “ Phew, did you say multiple models, inference time adaptive compute, multimodality and language? ” The setting of referential games was an ideal test bed for this complex system.”

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Data Science Dojo

SEPTEMBER 13, 2023

Deep learning And NLP Deep Learning and Natural Language Processing (NLP) are like best friends in the world of computers and language. Deep Learning is when computers use their brains, called neural networks, to learn lots of things from a ton of information. I was developed by OpenAI in 2018.

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Data Science Dojo

MAY 27, 2024

A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. This breakthrough has profound implications for drug development, as understanding protein structures can aid in designing more effective therapeutics.

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ODSC - Open Data Science

APRIL 17, 2023

Minor changes in the input data that are very apparent to human intelligence are not so for deep learning models. Deep learning is essentially matrix multiplication, which means even small perturbations in the coefficients can cause a significant change in the output.

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ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.

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Data Science Dojo

MARCH 4, 2024

Emerging as a key player in deep learning (2010s) The decade was marked by focusing on deep learning and navigating the potential of AI. Introduction of cuDNN Library: In 2014, the company launched its cuDNN (CUDA Deep Neural Network) Library. It provided optimized codes for deep learning models.

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Towards AI

DECEMBER 28, 2023

GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Over the past 11 years in the field of data science, I’ve witnessed significant transformations. CS6910/CS7015: Deep Learning Mitesh M. Khapra Homepage www.cse.iitm.ac.in

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Heartbeat

OCTOBER 18, 2023

In this article, we embark on a journey to explore the transformative potential of deep learning in revolutionizing recommender systems. However, deep learning has opened new horizons, allowing recommendation engines to unravel intricate patterns, uncover latent preferences, and provide accurate suggestions at scale.

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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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Data Science Dojo

JUNE 26, 2023

In order to learn the nuances of language and to respond coherently and pertinently, deep learning algorithms are used along with a large amount of data. A prompt is given to GPT-3 and it produces very accurate human-like text output based on deep learning. AI chatbot ChatGPT is based on GPT-3.5,

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Pickl AI

APRIL 10, 2023

So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. There is a growing demand for employees with digital skills The world is drifting towards data-based decision making In India, a technology analyst can make between ₹ 5.5

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Flipboard

JULY 10, 2023

By using our mathematical notation, the entire training process of the autoencoder can be written as follows: Figure 2 demonstrates the basic architecture of an autoencoder: Figure 2: Architecture of Autoencoder (inspired by Hubens, “Deep Inside: Autoencoders,” Towards Data Science , 2018 ). That’s not the case.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning. Founded in 2021, ThirdAI Corp.

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Heartbeat

MARCH 14, 2023

photo from Data Science Central Industrial automation, security and surveillance, and service robots are just a few examples of fields that might benefit from robotics’ ability to identify and track objects. A combination of simulated and real-world data was used to train the system, enabling it to generalize to new objects and tasks.

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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. Dr. Huan works on AI and Data Science. He founded StylingAI Inc.,

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ODSC - Open Data Science

MARCH 22, 2023

Previously, he was a senior scientist at Amazon Web Services developing AutoML and Deep Learning algorithms that now power ML applications at hundreds of companies. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

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ODSC - Open Data Science

SEPTEMBER 21, 2023

After all, this is what machine learning really is; a series of algorithms rooted in mathematics that can iterate some internal parameters based on data. This is understandable: a report by PwC in 2018 suggested that 30% of UK jobs will be impacted by automation by the 2030s Will Robots Really Steal Our Jobs?

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Data Science Blog

OCTOBER 20, 2024

When it comes to deep learning models, that are often used for more complex problems and sequential data, Long Short-Term Memory (LSTM) networks or Transformers are applied. Discover how our solutions can elevate your media-mix models and boost your organization by making smarter, data-driven decisions. Mahboobi, S.

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ODSC - Open Data Science

MARCH 6, 2024

For instance, two major Machine Learning tasks are Classification, where the goal is to predict a label, and Regression, where the goal is to predict continuous values. REGISTER NOW Building upon the exponential advancements in Deep Learning, Generative AI has attained mastery in Natural Language Processing.

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Towards AI

JULY 20, 2023

An additional 2018 study found that each SLR takes nearly 1,200 total hours per project. This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI). dollars apiece.

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Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. They are able to learn long-range dependencies between words in a sentence, which makes them very powerful for tasks such as machine translation, text summarization, and question answering.

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Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. They are able to learn long-range dependencies between words in a sentence, which makes them very powerful for tasks such as machine translation, text summarization, and question answering.

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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. He co-developed the Lush programming language with Léon Bottou.

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Heartbeat

FEBRUARY 6, 2023

YOLOv3 is a newer version of YOLO and was released in 2018. İrem KÖMÜRCÜ Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners.

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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. The library can be installed via pip.

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Mlearning.ai

FEBRUARY 10, 2023

For example, if you are using regularization such as L2 regularization or dropout with your deep learning model that performs well on your hold-out-cross-validation set, then increasing the model size won’t hurt performance, it will stay the same or improve. In the big data and deep learning era, now you have much more flexibility.

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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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Heartbeat

SEPTEMBER 13, 2023

For example, explainability is crucial if a healthcare professional uses a deep learning model for medical diagnoses. Captum allows users to explain both deep learning and traditional machine learning models. Explainability in Machine Learning || Seldon Blazek, P. References Castillo, D. Russell, C. &

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IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks.

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Mlearning.ai

APRIL 27, 2023

Using Deep Learning Models to Detect Abusive Behavior in Video Games Abusive behaviors are a pervasive issue in numerous business settings, including credit card companies, video games, and promotional events. To address such abusive behaviors, there exist various deep learning models that can effectively mitigate this problem.

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Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. Haibo Ding is a senior applied scientist at Amazon Machine Learning Solutions Lab. He is broadly interested in Deep Learning and Natural Language Processing.

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AWS Machine Learning Blog

JANUARY 13, 2023

We call the data loader function for eICU data with the following code: elif dataset_name == "eicu": logging.info("load_data. FedML supports several out-of-the-box deep learning algorithms for various data types, such as tabular, text, image, graphs, and Internet of Things (IoT) data. Scientific data 5.1

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AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). He focuses on developing scalable machine learning algorithms.

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Heartbeat

JANUARY 29, 2024

Everything You Need to Know About Few-Shot Learning || Paperspace Blog Model-Agnostic Meta-Learning (MAML) Made Simple || InstaDeep Nichol, A. & 2018) Reptile: A scalable meta-learning algorithm || OpenAI.com Xavier L. & Schulman, J. We pay our contributors, and we don't sell ads.

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Heartbeat

AUGUST 23, 2023

Natural language processing and machine learning as practical toolsets for archival processing. Natural language processing and machine learning for law and policy texts. Records Management Journal , 30 (2), 155–174. Law and word order: NLP in legal tech. Natural Language Engineering , 25 (1), 211–217.

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How to Learn Machine Learning

JANUARY 10, 2023

According to fortunly , the demand for Blockchain has risen in recent years as we have obviously seen in the Crypto bull runs of 2018 and 2020. R – The king of statistical analysis R is a very popular programming language for Data Science, mainly focused on statistical analysis.

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