DrivenData Labs

FEBRUARY 19, 2024

Demo submission: A demonstration of how to run the benchmark example and produce a valid code submission. Welcome to the benchmark notebook for the Pose Bowl: Object Detection challenge! If you are just getting started, first checkout the competition homepage and problem description. We'll cover two main areas in this post: Section 1.

Python 130

Python Algorithm Azure 130

PyImageSearch

JANUARY 30, 2023

Global youth are particularly concerned as more than 64 million are currently unemployed worldwide ( Figure 1 ). Personalized content can also be developed and adapted based on how students perceive various lessons, thus focusing on every individual’s requirement through features like games, programs, etc. Figure 2 ).

Deep Learning 107

Deep Learning Deep Learning AI AI 107

DrivenData Labs

DECEMBER 13, 2022

How to Predict Harmful Algal Blooms Using LightGBM and Satellite Imagery ¶ Welcome to the benchmark notebook for the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge ! If you are just getting starting, we recommended reading the competition homepage first. Let's get started.

ML 130

ML ML Python Deep Learning 130

Mlearning.ai

JANUARY 26, 2023

Prepared by: Carson Ross (OpenGeoHub) , Tom Hengl (OpenGeoHub) , Leandro Parente (OpenGeoHub) , Vasile Crăciunescu (TerraSigna) Data Cubes are highly organised data infrastructures enabling users to run new analyses and generate insights into processes, patterns and trends.

AWS 98

AWS Database Clean Data Data Science 98

Mlearning.ai

JULY 2, 2023

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis Data Visualization 52

Google Research AI blog

APRIL 11, 2023

These aging clocks help predict the risk of age-related diseases. But because protein and methylation markers require a blood draw, non-invasive ways to find similar measures could make aging information more accessible. We discuss how the model's insights can improve our understanding of how genetic factors influence aging.

Deep Learning 111

Deep Learning Deep Learning ML ML 111

PyImageSearch

NOVEMBER 6, 2023

You’ll also appreciate the pivotal role of image segmentation in various applications, from medical imaging to autonomous driving, and how U-Net stands out as a beacon in this domain. By the end of this tutorial, you’ll have a robust grasp of how to implement, train, and evaluate the U-Net model using PyTorch.

Deep Learning 67

Deep Learning Deep Learning Python Data Preparation 67