Applied Machine Learning A Practical Guide From Novice To Pro.

Started by 0nelove, Jul 07, 2024, 02:37 AM

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0nelove


English | July 4, 2024 | ASIN: B0CW1C5S62 | 331 pages| Epub | 20 MB


Many believe that a machine learning model, once trained, can act autonomously. This misconception has hindered innovation in ML/AI for far too long. In reality, ML models require integration within a comprehensive system encompassing inputs, processing, and outputs.
My new book, "Applied Machine Learning: A Practical Guide from Novice to Pro," is designed to reshape your understanding of machine learning and its practical applications. This hands-on guide will help you comprehend what machine learning truly is and how it can transform your business operations.
What You'll Learn
Foundation in Statistics: Understand why statistics is crucial in ML and how to apply it effectively.
Model Exploration: Dive into both supervised and unsupervised models, learning the nuances and applications of each.
Practical Integration: Learn how to integrate ML models into broader systems, ensuring they work seamlessly within your business infrastructure.
Model Selection: Gain insights into selecting the best model based on specific parameters and the problem you're aiming to solve.
Operationalization: Discover how to operationalize your ML models, turning them into reliable components of your business processes.
Hosting and Deployment: Learn the steps to host and deploy your ML models, making them accessible and usable within your organization's environment.
Real-World Applications: Discover real-world examples and case studies that illustrate how ML can drive innovation and efficiency in various business scenarios.

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