Prompt Engineering for Statistics and Machine Learning

Prompt Engineering for Statistics and Machine.

The Prompt Engineering for Statistics and Machine Learning journey is a comprehensive journey where the learners will delve into writing effective prompts for performing fundamental statistical and machine learning techniques. Throughout this journey, harness the power of natural prompts across platforms like ChatGPT and Bard, comparing outputs to optimize your learning experience and proficiency in statistical analysis and machine learning applications.

This Learning journey will focus on basic statistics and hypothesis testing, the learners will master computing descriptive statistics and interpreting results through various tests like T-tests and ANOVA with the help of prompts. Transitioning into writing prompts for Machine Learning, dive into various prompts for exploring data through statistical analysis and visualization, followed by essential preprocessing techniques like standardization and encoding. Delve into regression analysis, decision trees, logistic regression, and k-means clustering, gaining a deep understanding of diverse algorithms and models.
Courses:

This Learning Kit with more than 5 hours of learning is divided into three tracks:

Course content

Computing Descriptive Statistics Using Prompt Engineering

Course: 1 Hour, 24 Minutes

• Course Overview
• Prompt Engineering for Statistics and Machine Learning
• Setting up Generative AI Assistants
• Computing Mean and Median with Generative AI's Help
• Prompt Engineering for Explanations and Image Interpretation
• Computing Range and Interquartile Range
• Computing Variance and Standard Deviation with ChatGPT's Help
• Interpreting Measures of Shape Using Prompt Engineering
• Course Summary

Running Statistical Tests Using Generative AI Tools

Course: 1 Hour, 28 Minutes

• Course Overview
• Null Hypothesis and Alternative Hypothesis
• P-values
• P-value Interpretation Using Alpha Levels
• T-tests
• Viewing One-sample T-test Assumptions
• Testing for Normality Using Prompt Engineering
• Running a One-sample T-test
• Running Two-sided and One-sided T-tests
• Running the End-to-end One-sample T-test
• Course Summary

Prompt Engineering for Hypothesis Testing

Course: 1 Hour, 59 Minutes

• Course Overview
• Using Prompt Engineering to Understand the Two-sample T-test
• Testing Data for Normality
• Testing for Equal Variances with Generative AI Help
• Using ChatGPT to Interpret Results of the Two-sample T-test
• Implementing Welch's T-test for Unequal Variances
• Using the Paired Samples T-test
• Performing the Paired Samples T-test
• Running an End-to-end Implementation of the Paired Samples T-test
• Analysis of Variance (ANOVA)
• Testing Assumptions of an ANOVA
• Performing ANOVA and the Tukey Test with ChatGPT's Help
• Course Summary

Prompt Engineering for Machine Learning

Course: 1 Hour, 43 Minutes

• Course Overview
• Regression, Classification, and Clustering
• Using Regression Analysis
• Interpreting Relationships in Data with GPT
• Training a Regression Model with Google Bard's Help
• Analyzing Data for Classification
• Preprocessing Data and Training Models
• Evaluating Classification Models with Prompt Engineering
• Training a Classification Model with an Imbalanced Dataset
• Oversampling and Undersampling Data with Bard's Help
• Training a Clustering Model with Prompt Engineering
• Evaluating Clustering Models with Generative AI Help
• Course Summary

Assessment:

• Final Exam: Prompt Engineering Use Cases

Specificaties

Taal: Engels
Kwalificaties van de Instructeur: Gecertificeerd
Cursusformaat en Lengte: Lesvideo's met ondertiteling, interactieve elementen en opdrachten en testen
Lesduur: 5:34 uur
Assesments: De assessment test uw kennis en toepassingsvaardigheden van de onderwerpen uit het leertraject. Deze is 365 dagen beschikbaar na activering.
Online Virtuele labs: Ontvang 12 maanden toegang tot virtuele labs die overeenkomen met de traditionele cursusconfiguratie. Actief voor 365 dagen na activering, beschikbaarheid varieert per Training.
Online mentor: U heeft 24/7 toegang tot een online mentor voor al uw specifieke technische vragen over het studieonderwerp. De online mentor is 365 dagen beschikbaar na activering, afhankelijk van de gekozen Learning Kit.
Voortgangsbewaking: Ja
Toegang tot Materiaal: 365 dagen
Technische Vereisten: Computer of mobiel apparaat, Stabiele internetverbindingen Webbrowserzoals Chrome, Firefox, Safari of Edge.
Support of Ondersteuning: Helpdesk en online kennisbank 24/7
Certificering: Certificaat van deelname in PDF formaat
Prijs en Kosten: Cursusprijs zonder extra kosten
Annuleringsbeleid en Geld-Terug-Garantie: Wij beoordelen dit per situatie
Award Winning E-learning: Ja

Tip! Zorg voor een rustige leeromgeving, tijd en motivatie, audioapparatuur zoals een koptelefoon of luidsprekers voor audio, accountinformatie zoals inloggegevens voor toegang tot het e-learning platform.