Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
The Future of Finance with ChatGPT and Power BI

You're reading from   The Future of Finance with ChatGPT and Power BI Transform your trading, investing, and financial reporting with ChatGPT and Power BI

Arrow left icon
Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781805123347
Length 406 pages
Edition 1st Edition
Concepts
Arrow right icon
Authors (2):
Arrow left icon
James Bryant James Bryant
Author Profile Icon James Bryant
James Bryant
Aloke Mukherjee Aloke Mukherjee
Author Profile Icon Aloke Mukherjee
Aloke Mukherjee
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Part 1: From Financial Fundamentals to Frontier Tech: Navigating the New Paradigms of Data, EVs, and AgTech
2. Chapter 1: Financial Mastery with ChatGPT: From Basics to AI Insights FREE CHAPTER 3. Chapter 2: Creating Financial Narratives with Power BI and ChatGPT 4. Chapter 3: Tesla’s Financial Journey: AI Analysis and Bias Unveiled 5. Chapter 4: John Deere’s AgTech Revolution – AI Insights and Challenges 6. Part 2: Pioneers and Protectors: AI Transformations in Software, Finance, Biotech, and Cybersecurity
7. Chapter 5: Salesforce Reimagined: Navigating Software and LLMs 8. Chapter 6: SVB’s Downfall and Ethical AI: Smart AI Regulation 9. Chapter 7: Moderna and OpenAI – Biotech and AGI Breakthroughs 10. Chapter 8: CrowdStrike: Cybersecurity in the Era of Deepfakes 11. Index 12. Other Books You May Enjoy

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter (now X) handles. Here is an example: “The fetch_data function will print all the entries in the database.”

A block of code is set as follows:

from sklearn.model_selection import train_test_split
X = df['article']
y = df['sentiment']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

Any command-line input or output is written as follows:

$ mkdir AutoGPT
$ cd AutoGPT

Bold: Indicates a new term, an important word, or words that you see on screen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “Open the Power BI desktop and click on Home in the ribbon at the top.”

Tips or important notes

Appear like this.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image