Machine Learning: In Finance & Accounting: A comprehensive guide to the application of Machine Learning with Python


Price: $3.95
(as of Dec 17,2024 14:06:52 UTC – Details)




ASIN ‏ : ‎ B0CMD83W1X
Publisher ‏ : ‎ Reactive Publishing; 3rd edition (November 1, 2023)
Publication date ‏ : ‎ November 1, 2023
Language ‏ : ‎ English
File size ‏ : ‎ 1481 KB
Text-to-Speech ‏ : ‎ Enabled
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 299 pages


Machine Learning: In Finance & Accounting

Machine learning has become an essential tool in the fields of finance and accounting, enabling businesses to make more informed decisions and optimize their processes. In this comprehensive guide, we will explore the application of machine learning in finance and accounting using Python.

What is Machine Learning?

Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. By analyzing large amounts of data, machine learning algorithms can uncover patterns and insights that can help businesses make better decisions and improve their processes.

Application of Machine Learning in Finance & Accounting

In finance, machine learning is used in a variety of applications, including fraud detection, risk management, algorithmic trading, and customer segmentation. By analyzing historical data and identifying patterns, machine learning algorithms can help businesses predict market trends, detect anomalies, and optimize their investment strategies.

In accounting, machine learning can be used to automate repetitive tasks, such as data entry and reconciliation, reducing the risk of errors and improving efficiency. By analyzing financial data, machine learning algorithms can also help businesses identify trends and patterns that can inform decision-making and improve financial performance.

Using Python for Machine Learning in Finance & Accounting

Python is one of the most popular programming languages for machine learning, thanks to its simplicity, flexibility, and powerful libraries for data analysis and machine learning, such as Pandas, NumPy, and Scikit-learn. In this guide, we will walk you through the process of applying machine learning in finance and accounting using Python.

Whether you are a financial analyst looking to improve your forecasting models or an accountant seeking to automate repetitive tasks, this guide will provide you with the knowledge and tools you need to harness the power of machine learning in finance and accounting. Stay tuned for more in-depth tutorials and case studies on how to apply machine learning in real-world scenarios.
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