ODSC - Open Data Science

SEPTEMBER 20, 2023

Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. Finally, get ready for some All Hallows Eve fun with Halloween Data After Dark , featuring a costume contest, candy, and more. What’s next?

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

Google Research AI blog

JULY 23, 2023

Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more.

Machine Learning 77

Machine Learning Machine Learning ML ML 77

Explosion

AUGUST 3, 2017

Try the live demo! Why machine learning systems need annotated examples Most AI systems today rely on supervised learning : you provide labelled input and output pairs, and get a program that can perform analogous computation for new data. Human time and attention is precious.

Supervised Learning 52

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ODSC - Open Data Science

SEPTEMBER 26, 2023

Synthetic data is artificial data that is created by algorithms. That’s because some data may be sensitive or confidential, and it may not be possible to share it publicly. This is where synthetic data comes in. It can be used to supplement real-world data or to create new data sets altogether.

Data Science 52

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DataRobot Blog

DECEMBER 15, 2022

supervised learning and time series regression). ML pipelines containing preprocessing steps, modeling algorithms, and post-processing steps. Let’s run through the process and see exactly how you can go from data to predictions. The use case will be forecasting sales for stores, which is a multi-time series problem.

Exploratory Data Analysis 81

Exploratory Data Analysis AI AI Machine Learning 81

Google Research AI blog

JUNE 18, 2023

Our researchers will also be available to talk about and demo several recent efforts, including on-device ML applications with MediaPipe , strategies for differential privacy, neural radiance field technologies and much more.

Supervised Learning 116

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Snorkel AI

JANUARY 16, 2024

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo.

AI 52

AI AI Supervised Learning Algorithm 52

Snorkel AI

JANUARY 16, 2024

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo.

Supervised Learning 52

Supervised Learning AI AI Algorithm 52

Mlearning.ai

JANUARY 31, 2023

Control algorithm. It provides an out-of-the-box implementation of Madgwick’s filter , an algorithm that fuses angular velocities (from the gyroscope) and linear accelerations (from the accelerometer) to compute an orientation wrt the Earth’s magnetic field. Depending on the context, this assumption may be too optimistic.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

Pickl AI

JANUARY 12, 2023

This Data Science professional certificate program is industry-recognized and incorporates all the fundamentals of Data Science along with Machine Learning and its practical applications. The Udacity’s Data Science and Machine Learning course covers a wide range of topics in Data Science and Machine Learning.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Chatbots Life

MAY 12, 2023

Reinforcement learning is a machine learning training method based on rewarding desired behaviours and punishing undesired ones. Here is a brief description of the algorithm: OpenAI collected prompts submitted by the users to the earlier versions of the model.

AI 90

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Explosion

MAY 12, 2016

If you’ve been using the neural network model in Stanford CoreNLP , you’re using an algorithm that’s almost identical in design, but not in detail. If you’re populating a knowledge base, you can extend the state representation to include your target semantics, and learn it jointly with the syntax. We want to fix that.

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Natural Language Processing Supervised Learning Algorithm 40

DagsHub

JANUARY 27, 2025

Text labeling has enabled all sorts of frameworks and strategies in machine learning. Book a Demo Manual Labeling This kind of labeling is the less sophisticated one in terms of technology requirements. Obviously, this is also a weak supervised learning approach, because the labels are not guaranteed to be 100% correct.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Supervised Learning 52

Pickl AI

APRIL 26, 2024

Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Explain the difference between supervised and unsupervised learning. Are there any areas in data analytics where you want to improve or learn more?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

The MLOps Blog

MARCH 21, 2023

An ML platform standardizes the technology stack for your data team around best practices to reduce incidental complexities with machine learning and better enable teams across projects and workflows. We ask this during product demos, user and support calls, and on our MLOps LIVE podcast. Why are you building an ML platform?

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69