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Preface
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6 - Quadratic Forms, Symmetrization, and Contraction
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2 - Concentration of Sums of Independent Random Variables
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References
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Frontmatter
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11 - Dvoretzky–Milman Theorem
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3 - Random Vectors in High Dimensions
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Appetizer - Using Probability to Cover a Geometric Set
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Hints for Exercises
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7 - Random Processes
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5 - Concentration Without Independence
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High-Dimensional Probability
- An Introduction with Applications in Data Science
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1 - Preliminaries on Random Variables
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4 - Random Matrices
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8 - Chaining
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Frontmatter
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Index
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10 - Sparse Recovery
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Foreword
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9 - Deviations of Random Matrices and Geometric Consequences
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