Towards AI

AUGUST 23, 2024

Hypothesis Testing <> Prompt Engineering Cycles Similar to hypothesis testing, prompt engineering cycles should include a detailed log of design choices, versions, performance gains, and the reasoning behind these choices, akin to a model development process.

ML 98

ML ML Hypothesis Testing Machine Learning 98

Towards AI

AUGUST 23, 2024

Hypothesis Testing <> Prompt Engineering Cycles Similar to hypothesis testing, prompt engineering cycles should include a detailed log of design choices, versions, performance gains, and the reasoning behind these choices, akin to a model development process.

ML 52

ML ML Hypothesis Testing Machine Learning 52

Pickl AI

OCTOBER 28, 2024

Summary: The Bootstrap Method is a versatile statistical technique used across various fields, including estimating confidence intervals, validating models in Machine Learning, conducting hypothesis testing, analysing survey data, and assessing financial risks.

Hypothesis Testing 52

Hypothesis Testing Machine Learning Machine Learning Python 52

Pickl AI

AUGUST 29, 2023

Model Evaluation: Assess the quality of the midel by using different evaluation metrics, cross validation and techniques that prevent overfitting. They form the foundation of data analysis, machine learning, and artificial intelligence. This may involve finding values that best represent to observed data.

Data Scientist 52

Data Scientist Clustering Data Analysis Data Analysis 52

Pickl AI

SEPTEMBER 12, 2024

A/B Testing: A statistical method for comparing two versions of a variable to determine which one performs better. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

AUGUST 9, 2024

Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics. Model Evaluation Techniques for evaluating machine learning models, including cross-validation, confusion matrix, and performance metrics.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Mlearning.ai

MAY 23, 2023

What is the p-value and what does it indicate in the Null Hypothesis? In a hypothesis test in statistics, the p-value helps in telling us how strong the results are. The claim that is kept for experiment or trial is called Null Hypothesis. What is Cross-Validation? Perform cross-validation of the model.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52