Pickl AI

SEPTEMBER 12, 2024

Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Analysis: This step involves applying statistical and Machine Learning techniques to analyse the cleaned data and uncover patterns, trends, and relationships.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Snorkel AI

APRIL 28, 2023

Often, it requires you to co-design the algorithm and also the system set. If they’re necessary, how can we create a new algorithm to accommodate it? How can we adapt the model to different scenarios as systematic and data-efficient as possible? In this case, you can also use fairness as an objective for data debugging.

ML 52

ML ML Machine Learning Machine Learning 52

Snorkel AI

APRIL 28, 2023

Often, it requires you to co-design the algorithm and also the system set. If they’re necessary, how can we create a new algorithm to accommodate it? How can we adapt the model to different scenarios as systematic and data-efficient as possible? In this case, you can also use fairness as an objective for data debugging.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review. We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. The results show that most of them were indeed labeled incorrectly.

ML 72

ML ML Machine Learning Machine Learning 72

Mlearning.ai

MAY 23, 2023

Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. What is Data Science? Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. It further performs badly on the test data set.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52