Mlearning.ai

FEBRUARY 10, 2024

These mathematical domains serve as the crucial framework for comprehending patterns in data, allowing us to make highly accurate forecasts about future events. It serves as a fundamental principle in probability theory, illustrating how the likelihood of an event or hypothesis evolves as additional information is acquired.

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Heartbeat

OCTOBER 23, 2023

The Role of Data Scientists and ML Engineers in Health Informatics At the heart of the Age of Health Informatics are data scientists and ML engineers who play a critical role in harnessing the power of data and developing intelligent algorithms.

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Heartbeat

MARCH 27, 2023

Model versioning and tracking with Comet ML Photo by Maxim Hopman on Unsplash In the first part of this article , we made a point to go through the steps that are necessary for you to log a model into the registry. This was necessary as the registry is where a machine learning practitioner can keep track of experiments and model versions.

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DrivenData Labs

APRIL 10, 2024

We take a gap year to participate in AI competitions and projects, and organize and attend events. At the time of selecting competitions, this was the most attractive in terms of sustainability, image segmentation being a new type of challenge for this team, and having a topic that would be easy to explain and visualize at events.

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Heartbeat

AUGUST 29, 2023

Cross-validation : Cross-validation is a method for assessing how well a model performs when applied to fresh data. Make use of cross-validation : Before deploying your model, cross-validation can help you find overfitting and generalization issues.

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Heartbeat

DECEMBER 19, 2023

Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. We're committed to supporting and inspiring developers and engineers from all walks of life. We pay our contributors, and we don't sell ads.

Deep Learning 52

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DataRobot Blog

DECEMBER 20, 2022

Monitoring models in production and continuously learning in an automated way, so being prepared for real estate market shifts or unexpected events. For example, the model produced a RMSLE (Root Mean Squared Logarithmic Error) Cross Validation of 0.0825 and a MAPE (Mean Absolute Percentage Error) Cross Validation of 6.215.

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Mlearning.ai

MAY 23, 2023

Let us first understand the meaning of bias and variance in detail: Bias: It is a kind of error in a machine learning model when an ML Algorithm is oversimplified. It is introduced into an ML Model when an ML algorithm is made highly complex. In such types of questions, we first need to ask what ML model we have to train.

Data Science 52

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Heartbeat

JUNE 14, 2023

Cross Validated] 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. Advances in Neural Information Processing Systems 33 (2020): 15288–15299. [10] 10] Nixon, Jeremy, et al.

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Dataconomy

SEPTEMBER 1, 2023

The time has come for us to treat ML and AI algorithms as more than simple trends. We are no longer far from the concepts of AI and ML, and these products are preparing to become the hidden power behind medical prediction and diagnostics. Techniques like cross-validation and robust evaluation methods are crucial.

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Heartbeat

MAY 29, 2023

The ML process is cyclical — find a workflow that matches. Check out our expert solutions for overcoming common ML team problems. Use a representative and diverse validation dataset to ensure that the model is not overfitting to the training data. We pay our contributors, and we don’t sell ads.

Machine Learning 78

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AWS Machine Learning Blog

MAY 24, 2023

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Source: Equifax) Part 1 of this series discusses the most common challenges associated with the manual lending process.

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DrivenData Labs

JANUARY 11, 2023

1D vs. 2D deep learning : The first-place winner used a 1D CNN transformer whose output feeds into a 1D event detection model, and a 2D CNN whose output feeds into a 2D event detection model, while the second-place winner ensembled 13 different 2D CNNs with different preprocessing methods.

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Mlearning.ai

JANUARY 29, 2024

According to the CDC more than 1 million individuals visit emergency departments for adverse drug events each year in the United States. ADRs can range from mild symptoms, such as nausea or dizziness, to more serious or life-threatening events, such as anaphylaxis(severe allergic reaction) or organ damage.

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