Linear Algebraic Tools in Machine Learning and Data Science
Check out Krishnendu Chaudhury’s book 📖 Math and Architectures of Deep Learning | 📖 For 40% off this book use the ⭐ DISCOUNT CODE: twitchaud40 ⭐ Learn the most important tools in the repertoire of a data scientist and machine learning practitioner - Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) - with the help of Krishnendu Chaudhury, a deep learning and computer vision expert with decade-long stints at both Google and Adobe Systems.
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Math and Architectures of Deep Learning |
For 40% off this book use discount code: twitchaud40
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About the book:
Math and Architectures of Deep Learning sets out the foundations of DL in a way that’s both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics
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