Dataconomy

MAY 8, 2025

Stripe unveiled a slew of new product launches at its annual Stripe Sessions user event on Wednesday, including an AI foundation model for payments, stablecoin-powered accounts, and a new Orchestration offering. “We have found over and over and over again in machine learning, generalized models outperform,” he said.

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IBM Journey to AI blog

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. But what is an anomaly and why is detecting it important?

Machine Learning 82

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 82

Towards AI

FEBRUARY 15, 2024

I was also curious to know your thoughts on the events world. I used this week’s poll to survey the community, asking if you have attended or are attending “industry events” such as GTC, World AI Summit, or others. I would love to hear your thoughts on those kinds of events! I wish you all a great weekend. AI poll of the week!

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ODSC - Open Data Science

SEPTEMBER 20, 2023

For example, if you want a summary of a historical event, you might begin with, “Provide a concise summary of the American Civil War in three sentences.” With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. Interested in attending an ODSC event?

AI 98

AI AI Data Science Supervised Learning 98

ODSC - Open Data Science

OCTOBER 16, 2023

With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. Interested in attending an ODSC event? Learn more about our upcoming events here. The best place to do this is at ODSC West 2023 this October 30th to November 2nd.

Data Science 97

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Dataconomy

OCTOBER 5, 2023

AI technologies are trying to establish a logical context by connecting the dots in the data pool obtained from us ( Image credit ) There are several ways that AI technologies can learn from data but the most common approach is supervised learning, where the AI algorithm is trained on labeled data, meaning that the correct output is already known.

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ODSC - Open Data Science

OCTOBER 3, 2023

With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. Interested in attending an ODSC event? Learn more about our upcoming events here. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Data Science 97

Data Science Data Analysis Data Analysis Supervised Learning 97

ODSC - Open Data Science

SEPTEMBER 19, 2023

With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. Interested in attending an ODSC event? Learn more about our upcoming events here. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Data Science 98

Data Science Natural Language Processing Supervised Learning Computer Science 98

ODSC - Open Data Science

SEPTEMBER 15, 2023

With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. Interested in attending an ODSC event? Learn more about our upcoming events here. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Data Analysis 96

Data Analysis Data Analysis AI AI 96

Snorkel AI

OCTOBER 31, 2023

The Snorkel papers cover a broad range of topics including fairness, semi-supervised learning, large language models (LLMs), and domain-specific models. We are excited to present the following papers and presentations during this year’s event. Characterizing the Impacts of Semi-supervised Learning for Weak Supervision Li et al.

Supervised Learning 59

Supervised Learning AI AI Machine Learning 59

ODSC - Open Data Science

OCTOBER 2, 2023

With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. Interested in attending an ODSC event? Learn more about our upcoming events here. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Data Science 98

Data Science Supervised Learning Python AI 98

ODSC - Open Data Science

SEPTEMBER 6, 2023

With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. Interested in attending an ODSC event? Learn more about our upcoming events here. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Data Science 98

Data Science Supervised Learning Python AI 98

Dataconomy

MAY 25, 2023

This enables them to respond quickly to changing conditions or events. Here are some important machine learning techniques used in IoT: Supervised learning Supervised learning involves training machine learning models with labeled datasets.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

Machine Learning (Theory)

APRIL 23, 2021

I started working in reinforcement learning at the beginning of my PhD in robotics at CMU. It also had some link to topics I studied previously (in supervised learning & in operations search). More generally, these days it’s actually very easy for researchers in machine learning to find interdisciplinary collaborators.

Computer Science 130

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IBM Journey to AI blog

MAY 9, 2023

The emergence of transformers and self-supervised learning methods has allowed us to tap into vast quantities of unlabeled data, paving the way for large pre-trained models, sometimes called “ foundation models.” But this is starting to change.

AI 139

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Snorkel AI

OCTOBER 31, 2023

The Snorkel papers cover a broad range of topics including fairness, semi-supervised learning, large language models (LLMs), and domain-specific models. We are excited to present the following papers and presentations during this year’s event. Characterizing the Impacts of Semi-supervised Learning for Weak Supervision Li et al.

Supervised Learning 52

Supervised Learning AI AI Machine Learning 52

Smart Data Collective

JUNE 26, 2019

Scikit-learn is a library that contains several implementations of machine learning algorithms. There are two essential classifiers for developing machine learning applications with this library: a supervised learning model known as an SVM and a Random Forest (RF). In general, the latter represents the class.

Machine Learning 91

Machine Learning Machine Learning Python Decision Trees 91

Data Science 101

OCTOBER 31, 2019

The former is a term used for models where the data has been labeled, whereas, unsupervised learning, on the other hand, refers to unlabeled data. Classification is a form of supervised learning technique where a known structure is generalized for distinguishing instances in new data. Classification. Regression.

Data Mining 77

Data Mining Data Mining Data Mining Data Science 77

Snorkel AI

APRIL 18, 2023

And then what they did is they came up with 18 different high-level climate change hazards that talk about climate trends–both long-term and short-term–and also extreme events that are indicators and precursors that affect our day-to-day living. To address all these problems, we looked into weak supervised learning.

Supervised Learning 52

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Snorkel AI

APRIL 18, 2023

And then what they did is they came up with 18 different high-level climate change hazards that talk about climate trends–both long-term and short-term–and also extreme events that are indicators and precursors that affect our day-to-day living. To address all these problems, we looked into weak supervised learning.

Supervised Learning 52

Supervised Learning Clustering AI AI 52

DataRobot Blog

DECEMBER 15, 2022

supervised learning and time series regression). For example, how holidays and events affect forecasting. Looking at Accuracy Over Time allows you to see the actuals versus the predictions of the model—and shows how seasonality and calendar events are incorporated. Settings for Time Series projects.

Exploratory Data Analysis 81

Exploratory Data Analysis AI AI Machine Learning 81

ODSC - Open Data Science

AUGUST 29, 2023

With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field.

Natural Language Processing 98

Natural Language Processing Machine Learning Machine Learning Data Scientist 98

Pickl AI

AUGUST 6, 2023

Machine Learning has become a fundamental part of people’s lives and it typically holds two segments. It includes supervised and unsupervised learning. Supervised Learning deals with labels data and unsupervised learning deals with unlabelled data. It is commonly used in medical research.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Supervised Learning 52

ML @ CMU

APRIL 23, 2025

The authors introduce two new datasets and propose a three-tiered explanation frameworkranging from concise event descriptions to rich, emotionally grounded narrativesgenerated using large language models. Gordon, Fei Fang Physics of Language Models: Part 2.1,

Algorithm 170

Algorithm Machine Learning Machine Learning AI 170

ODSC - Open Data Science

OCTOBER 4, 2023

General and Efficient Self-supervised Learning with data2vec Michael Auli | Principal Research Scientist at FAIR | Director at Meta AI This session will explore data2vec, a framework for general self-supervised learning that uses the same learning method for either speech, NLP, or computer vision.

Supervised Learning 52

Supervised Learning Machine Learning Machine Learning Data Science 52

Google Research AI blog

APRIL 30, 2023

Posted by Catherine Armato, Program Manager, Google The Eleventh International Conference on Learning Representations (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute at all levels.

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IBM Journey to AI blog

JUNE 14, 2023

With a foundation model, often using a kind of neural network called a “transformer” and leveraging a technique called self-supervised learning, you can create pre-trained models for a vast amount of unlabeled data. This is usually text, but it can also be code, IT events, time series, geospatial data, or even molecules.

AI 103

AI AI Natural Language Processing Data Lakes 103

ODSC - Open Data Science

SEPTEMBER 26, 2023

Teams that use synthetic data are in greater control of the data they use so they can even go so far as to create data about rare events or data that is sensitive or confidential, such as with delicate medical information or time-series data. Interested in attending an ODSC event? Learn more about our upcoming events here.

Data Science 52

Data Science Supervised Learning Artificial Intelligence Artificial Intelligence 52

Pickl AI

SEPTEMBER 3, 2024

The Importance of Data Annotation It is essential in the realm of Artificial Intelligence and Machine Learning. It lays the groundwork for training models, ensuring accuracy, and facilitating supervised learning. By providing context and structure, annotated data enables machines to learn effectively and make informed decisions.

Machine Learning 52

Machine Learning Machine Learning Supervised Learning Algorithm 52

Women in Big Data

DECEMBER 13, 2023

The event was part of the chapter’s technical talk series 2023. The Technical Talk Series focuses on Technical Skills, bringing awareness about a technical topic, sharing knowledge, and ways to learn/enhance required skills, thus linking it to career development. I look forward to attending future events hosted by WiBD”.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

Natural Language Processing 83

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Pickl AI

NOVEMBER 4, 2024

Local meetups offer opportunities to connect with peers, collaborate on projects, and learn from each other’s experiences. Engaging in these events fosters community, providing support and motivation as you advance your Python journey for Data Science.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

ODSC - Open Data Science

SEPTEMBER 12, 2024

Get ready to learn about the machine learning workflow and touch on different types of model training, such as supervised learning, unsupervised learning, and generative AI. Week 2: Machine Learning Data Prep with Python Learn the fundamentals of one of the most powerful tools for data prep during week 2.

Machine Learning 40

Machine Learning Machine Learning AI AI 40

ODSC - Open Data Science

OCTOBER 10, 2024

This event sparked significant advancements in autonomy, not just for self-driving cars but also for the broader field of robotics. In supervised learning , as Francis explained, a robot is trained by being given correct answers for tasks — such as identifying toys from images — over many iterations.

AI 52

AI AI Supervised Learning Machine Learning 52

ODSC - Open Data Science

OCTOBER 13, 2023

With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. Interested in attending an ODSC event? Learn more about our upcoming events here. In turn, it’s becoming important to keep up with any and all changes associated with LLMs.

Data Science 52

Data Science Supervised Learning Machine Learning Machine Learning 52

How to Learn Machine Learning

MAY 14, 2023

Acquiring Essential Machine Learning Knowledge Once you have a strong foundation in mathematics and programming, it’s time to dive into the world of machine learning. Additionally, you should familiarize yourself with essential machine learning concepts such as feature engineering, model evaluation, and hyperparameter tuning.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

ODSC - Open Data Science

SEPTEMBER 20, 2023

Confirmed Extra Events Halloween Data After Dark AI Expo and Demo Hall Virtual Open Spaces Morning Run Day 3: Wednesday, November 1st (Bootcamp, Platinum, Gold, Silver, VIP, Virtual Platinum, Virtual Premium) The third day of ODSC West 2023, will be the second and last day of the Ai X Business and Innovation Summit and the AI Expo and Demo Hall.

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