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"Deep Learning For Computer Vision With Python" by Adrian Rosebrock is a comprehensive guide that delves into the application of deep learning techniques for solving computer vision problems. The book...

Deep Learning: Foundations and Concepts by Christopher M. Bishop and Hugh Bishop Deep Learning: Foundations and Concepts by Christopher M. Bishop and Hugh Bishop offers an in-depth exploration of deep...

Deep Learning From Basics to Practice Volume One by Andrew Glassner provides a thorough exploration of deep learning, starting from foundational concepts and progressing to practical applications. This volume aims...

Deep Learning with Python (2nd Edition) Author: François CholletBinding: PaperbackPaper Quality: Black White PaperCategory: Computer Science / Artificial Intelligence / Machine LearningRecommended For: Computer science students, data scientists, software engineers,...

📘 Title Name: Hands-On Machine Learning With Scikit-Learn And TensorFlow: Concepts, Tools, And Techniques To Build Intelligent Systems✍️ Author: Aurélien Géron📄 Quality: Black White Pakistan Print 🔹 Introduction:This bestselling book...

 Introduction to Machine Learning with Python: A Guide for Data Scientists Authors: Andreas C. Müller, Sarah GuidoBinding: PaperbackPaper Quality: white paper Category: Data Science / Machine Learning / Artificial IntelligenceRecommended For:...

"Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries by Lee Vaughan (Author)" offers a comprehensive guide for scientists, researchers, and enthusiasts seeking to harness...

"The Hundred-Page Machine Learning Book" by Andriy Burkov provides a concise yet comprehensive introduction to the fundamentals of machine learning. Burkov distills complex concepts into a hundred pages, making it...