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

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.

AI 136

AI AI Artificial Intelligence Artificial Intelligence 136

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

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

AI AI Data Quality Data Lakes 139

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 92

Machine Learning Machine Learning Python Decision Trees 92

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

Supervised Learning Clustering AI AI 52

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

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.

Supervised Learning 105

Supervised Learning Machine Learning Machine Learning Deep Learning 105

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

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

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

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

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

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

How to Learn Machine Learning

SEPTEMBER 6, 2024

AI for cybersecurity leverages AI ML services to assess and correlate events and security threats across multiple sources and turn them into actionable insights that the security team uses for further assessment, response, and reporting. However, many of these events are not harmful, yet missing some cyber threats can be enormous.

ML 52

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ODSC - Open Data Science

MARCH 8, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Interested in attending an ODSC event? Learn more about our upcoming events here.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Becoming Human

MARCH 16, 2023

Unlike supervised and semi-supervised learning algorithms that can identify patterns only in structured data, DL models are capable of processing vast volumes of unstructured data and make more advanced predictions with little supervision from humans.

AI 139

AI AI Deep Learning Deep Learning 139

Snorkel AI

JULY 5, 2023

A large percentage of ML projects are based on supervised learning, which is very dependent on good feature selection. But then, Robert, what do you think are some of the challenges applied folks in the supervised learning space face when trying to productionize these use cases? More Snorkel AI events coming!

Supervised Learning 52

Supervised Learning AI AI ML 52

Pickl AI

JANUARY 2, 2025

Mathematical Definition and Formula of Entropy The mathematical formula for entropy H(X) is: Here: P(xi) is the probability of the iii-th event. log2P(xi) measures the information content of each event in bits. Entropy is highest when all events are equally likely, indicating maximum uncertainty.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Clustering 52

ODSC - Open Data Science

JULY 12, 2024

Topics you will learn: Introduction to Deep Learning with PyTorch and TensorFlow | Self-Supervised Learning in Vision | Multimodal Models | Deep Generative Models | Adversarial Attacks | Applications of Multimodal Models | Latent Diffusion Models LLMs and RAG One of our most popular tracks is getting an upgrade!

Deep Learning 40

Deep Learning Deep Learning Data Science Natural Language Processing 40

Becoming Human

MAY 9, 2024

Use Cases of NLP Data Labeling in Finance Labeled data is used to train machine learning models, creating a better scope for supervised learning. In the former, the analysis includes determining the market and customer reaction based on the stock price, market condition, a major event that can impact the markets, stocks, etc.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 52

ODSC - Open Data Science

NOVEMBER 8, 2023

One common approach is to use supervised learning. The LLM learns to map the input to the output by minimizing a loss function. Interested in attending an ODSC event? Learn more about our upcoming events here. There are a number of different ways to fine-tune an LLM.

AI 52

AI AI Natural Language Processing Data Science 52

Snorkel AI

JULY 5, 2023

A large percentage of ML projects are based on supervised learning, which is very dependent on good feature selection. But then, Robert, what do you think are some of the challenges applied folks in the supervised learning space face when trying to productionize these use cases? That actually brings us to a good point.

Supervised Learning 52

Supervised Learning AI AI ML 52