2022, Cross Validation and ML - Data Science Current

Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

AWS Machine Learning Blog

JANUARY 26, 2023

Amazon SageMaker is a fully managed machine learning (ML) service providing various tools to build, train, optimize, and deploy ML models. ML insights facilitate decision-making. To assess the risk of credit applications, ML uses various data sources, thereby predicting the risk that a customer will be delinquent.

ML

ML ML Data Scientist AWS

Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. We then explain the details of the ML methodology and model training procedures.

Cross Validation

Cross Validation ML ML Machine Learning

Meet the winners of the Forecast and Final Prize Stages of the Water Supply Forecast Rodeo

DrivenData Labs

JANUARY 22, 2025

Final Stage Overall Prizes where models were rigorously evaluated with cross-validation and model reports were judged by a panel of experts. The cross-validations for all winners were reproduced by the DrivenData team. Lower is better. Unsurprisingly, the 0.10 quantile was easier to predict than the 0.90

Cross Validation

Cross Validation Machine Learning Machine Learning ML

Webinars

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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Deployment of Data and ML Pipelines for the Most Chaotic Industry: The Stirred Rivers of Crypto

The MLOps Blog

DECEMBER 7, 2022

2022 will be remembered as a defining year for the crypto ecosystem. And we at deployr , worked alongside them to find the best possible answers for everyone involved and build their Data and ML Pipelines. There’s an old saying in Argentina that goes: “A río revuelto, ganancia de pescadores”. With that out of the way, let’s dig in!

ML

ML ML AWS ETL

Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. By leveraging cross-validation, we ensured the model’s assessment wasn’t reliant on a singular data split.

Cross Validation

Cross Validation Predictive Analytics Exploratory Data Analysis EDA

Must-Have Skills for a Machine Learning Engineer

Pickl AI

NOVEMBER 28, 2024

Introduction Machine Learning ( ML ) is revolutionising industries, from healthcare and finance to retail and manufacturing. As businesses increasingly rely on ML to gain insights and improve decision-making, the demand for skilled professionals surges. billion in 2022 and is expected to grow to USD 505.42

Machine Learning

Machine Learning Machine Learning ML ML

Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

ML

ML ML Machine Learning Machine Learning

Announcing the Winners of Invite Only Data Challenge: OCEAN Twitter Sentiment pt. 2

Ocean Protocol

AUGUST 8, 2023

Matin split the journey, dedicating the initial 80% to training (2019–12–30 to 2022–03–28) and the final 20% to evaluation (2022–03–30 to 2022–10–21). This deployed hyperparameters tuning and cross-validation to ensure an effective and generalizable model.

Machine Learning

Machine Learning Machine Learning Cross Validation ML

Meet the winners of the Mars Spectrometry 2: Gas Chromatography Challenge

DrivenData Labs

JANUARY 11, 2023

I also competed in Mars 1 competition in Spring 2022. Logistic regression only need one parameter to tune which is set constant during cross validation for all 9 classes for the same reason. What motivated you to compete in this challenge? Ridge models are in principal the least overfitting models.

Deep Learning

Deep Learning Deep Learning Data Science Machine Learning

Calibration Techniques in Deep Neural Networks

Heartbeat

JUNE 14, 2023

arXiv preprint arXiv:2202.07679 (2022) [3] Gualtieri, J. 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. PMLR, 2017. [2] Anthony, et al. CVPR workshops.

Deep Learning

Deep Learning Deep Learning Support Vector Machines Machine Learning

What a data scientist should know about machine learning kernels?

Mlearning.ai

APRIL 13, 2023

This is often done using techniques such as cross-validation or grid search. Hyperparameter tuning is the process of finding the optimal values for these hyperparameters to maximize the performance of the algorithm. There are several approaches to hyperparameter tuning for kernel-based algorithms, including: 1. Support-vector networks.

Machine Learning

Machine Learning Machine Learning Data Scientist Support Vector Machines

How to Create a Dataiku Plugin: An Example with NeuralProphet & Snowflake

phData

AUGUST 1, 2023

The platform accomplishes this by using a combination of no-code visual tools, for your code-averse analysts, and code-first options, for your seasoned ML practitioners. You can find the same dataset in the Forecasting Time Series with Visual ML tutorial project provided by Dataiku. What is a Plugin in Dataiku, and Why are They Useful?

Python

Python Database ML ML

How to Create a Dataiku Plugin: An Example with NeuralProphet & Snowflake

phData

AUGUST 1, 2023

The platform accomplishes this by using a combination of no-code visual tools, for your code-averse analysts, and code-first options, for your seasoned ML practitioners. You can find the same dataset in the Forecasting Time Series with Visual ML tutorial project provided by Dataiku. What is a Plugin in Dataiku, and Why are They Useful?

Python

Python Database ML ML

Data Science Project?—?Build a Decision Tree Model with Healthcare Data

Mlearning.ai

JANUARY 29, 2024

Data is available from 2003 , but we will be only working with the first three parts of the year 2022 data. Decision Tree Model Pipeline In the decision tree model, grid search cross-validation was utilized to determine the optimal parameters. Data set is available under Human Drug tab.

Decision Trees

Decision Trees Data Science Exploratory Data Analysis Data Analysis

From prediction to prevention: Machines’ struggle to save our hearts

Dataconomy

SEPTEMBER 1, 2023

The time has come for us to treat ML and AI algorithms as more than simple trends. This technological journey of humanity, which started with the slow integration of IoT systems such as Alexa into our lives, has peaked in the last quarter of 2022 with the increase in the prevalence and use of ChatGPT and other LLM models.

Decision Trees

Decision Trees Machine Learning Machine Learning Support Vector Machines

Data Science Current

Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

Webinars

Trending Sources

Meet the winners of the Forecast and Final Prize Stages of the Water Supply Forecast Rodeo

Webinars

Deployment of Data and ML Pipelines for the Most Chaotic Industry: The Stirred Rivers of Crypto

Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Must-Have Skills for a Machine Learning Engineer

Identifying defense coverage schemes in NFL’s Next Gen Stats

Announcing the Winners of Invite Only Data Challenge: OCEAN Twitter Sentiment pt. 2

Meet the winners of the Mars Spectrometry 2: Gas Chromatography Challenge

Calibration Techniques in Deep Neural Networks

What a data scientist should know about machine learning kernels?

How to Create a Dataiku Plugin: An Example with NeuralProphet & Snowflake

How to Create a Dataiku Plugin: An Example with NeuralProphet & Snowflake

Data Science Project?—?Build a Decision Tree Model with Healthcare Data

From prediction to prevention: Machines’ struggle to save our hearts

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