AI for Engineers: Practical Guide to Machine Learning and Deep Learning

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The world of AI and machine learning is evolving rapidly, and engineers and software developers are eager to stay ahead of the curve. A new free ebook titled Applied Machine Learning and AI for Engineers is now available for a limited time, offering valuable insights and practical examples for those looking to incorporate AI into their projects.

Written by author Jeff Prosise, this comprehensive guide delves into the world of AI without overwhelming readers with complex equations or unnecessary math. Instead, the book focuses on helping professionals in the field develop a practical understanding of AI and machine learning to tackle real-world business challenges.

Readers can expect to learn how to create systems for tasks such as detecting illegal logging sounds in the rainforest, analyzing sentiment in text, and predicting early failures in rotating machinery. With hands-on examples and clear explanations, Prosise guides readers through building machine learning models in Python using tools like Scikit-Learn, Keras, and TensorFlow.

Whether you’re interested in regression models, facial recognition, object detection, language models, or integrating Cognitive Services into your applications, this ebook provides the necessary skills and knowledge to get started. With a focus on practical applications and real-world scenarios, Applied Machine Learning and AI for Engineers is a valuable resource for anyone looking to harness the power of AI in their work.

Don’t miss out on this opportunity to access a $67.99 value ebook for free. Take your first steps towards mastering AI and machine learning today with Applied Machine Learning and AI for Engineers.

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Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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