Python in Excel Instructor Guide

Python in Excel Instructor Guide

https://www.amazon.com/dp/B0FC94DR7S/

The following instructor guide reviews core and key Python in Excel via simple formulas. These formulas can be utilized for personal, educational, or corporate usage. It is envisioned that the instructor utilizes the material from this guide via a demonstration type format as each formula reviews the format, brief pros and cons and example. Formula contents are grouped by high-level subject matter.

Contents:

About Python in Excel Formulas

Instructor Information

Create a Working File

Data Logic

Date() Function:

IF() Function:

Now() Function:

Data Manipulation

FillNa() Function:

Find() Function:

Replace() Function:

Data Statistics

Count() Function:

Describe() Function:

Kurtosis() Function:

Len() Function:

Max() Function:

Median() Function:

Min() Function:

Quantile() Function:

Sum() Function:

Skew() Function:

Std() Function:

Var() Function:

Basic Troubleshooting

Conclusion

About the Author:

Notes:

Applied Generative AI Instructor Guide

Applied Generative AI Instructor Guide

https://www.amazon.com/dp/B0FBLQDYYJ/

Applied Generative AI is an area which encompasses creating original and innovative content. This includes integrating technical expertise with management insights, ethical considerations, and human based factors. In this instructor guide, each section provides core and key topical information of value to discuss with example generative prompts which can then be utilized.

Table of Contents:

Using Instructor Guide

Using Generative AI

History and Evolution of AI

Introduction to LLMs

Understanding LLM Architecture: From Words to Meaning

AI Today and in the Future

Democratization of Data & AI: The Neural Network Revolution

LLMs: What Can They Do and How Do They Work?

Predicting the Future: Neural Networks

Autoencoders, Latent Spaces & Embedding Spaces

LLMOps (Large Language Model Operations)

An Introduction to AI and Ethics

Cultivating an AI-Ready Culture

Speed of Applied Generative AI Learning

Building on LLMs and the Future of Jobs

The AI-Enabled Economy

Conclusion:

About the Author:

Notes:

AI Roadmap

AI Roadmap

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The artificial intelligence roadmap is a strategic overview of the core business and technical aspects that make up AI. After each concept, an example generative AI prompt is depicted for further understanding.

Contents:

Using Generative AI

Business Aspects for AI

Business Strategy

Workforce Development

Uses of AI

Governance

Tools and Infrastructure

Innovative Research & Development

Technical Training

Measurement and Monitoring

Generative AI Prompts for Business Aspects

Technical Aspects for AI

Artificial Intelligence

Machine Learning

Neural Networks

Deep Learning

Generative AI

Generative AI Prompts for Technical Aspects

About the Author:

Notes:

Generative AI Aspects Explained

Generative AI Aspects Explained

https://www.amazon.com/dp/B0DWQHRY25/

The following are core generative artificial intelligence (AI) aspects explained with key examples. Each aspect is grouped into one of the following: contextual learning, agents, fine-tuning, retrieval augmented generation, evaluation metrics, foundation models and transformers. Finally, example generative AI prompts to leverage, using the aspects is given. Contents include: Overview of Generative AI, Generative AI Aspects, Using Generative AI, Contextual Learning Model, Agents, Fine Tuning, Retrieval Augmented Generation, Evaluation Metrics, Foundation Models and Transformers.

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What is Artificial Intelligence (AI)?: A Simplified Overview

What is Artificial Intelligence (AI)?: A Simplified Overview

https://www.amazon.com/dp/B0DT7TKKCC/

Artificial Intelligence (AI) is a rapidly evolving field that involves creating systems capable of performing tasks which typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, language understanding, and interaction.

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Therefore, this overview covers the most common aspects of AI. The information can be utilized for personal, educational, or corporate usage. It is envisioned that one utilizes the material for discussion and demonstration purposes. After each key topic, a series of generative prompts for example purposes is depicted.

Contents

Overview of AI:

Overview of Generative AI:

Using Generative AI:

Generative AI Prompt Examples:

Overview of Algorithm:

Algorithm Prompt Examples:

Overview of Autonomous System:

Autonomous Systems Prompt Examples:

Overview of Machine Learning:

Machine Learning Prompt Examples:

Overview of Supervised Learning:

Supervised Learning Prompt Examples:

Overview of Unsupervised Learning:

Unsupervised Learning Example Prompts:

Overview of Reinforcement Learning:

Reinforcement Learning Example Prompts:

Overview of Deep Learning:

Deep Learning Example Prompts:

Overview of Fuzzy Logic:

Fuzzy Logic Example Prompts:

Overview of AI Engineer Roles:

About the Author:

Notes: