Search Results - (((((((want OR arent) OR art) OR started) OR cantor) OR anne) OR cartsr) OR deep) algorithms.

Machine Learning Algorithms and Applications. by Srinivas, Mettu

Table of Contents: “…5.3 Delineating the Cornerstones -- 5.4 Deep Learning Architectures -- 5.5 Why is CNN Preferred for Computer Vision Applications? …”
Full text (MFA users only)

Deep Learning for the Earth Sciences : A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. by Camps-Valls, Gustau

Table of Contents: “…6.1.4 Evaluation Metrics -- 6.1.4.1 Precision-Recall Curve -- 6.1.4.2 Average Precision and Mean Average Precision -- 6.1.5 Applications -- 6.2 Preliminaries on Object Detection with Deep Models -- 6.2.1 Two-stage Algorithms -- 6.2.1.1 R-CNNs -- 6.2.1.2 R-FCN -- 6.2.2 One-stage Algorithms -- 6.2.2.1 YOLO -- 6.2.2.2 SSD -- 6.3 Object Detection in Optical RS Images -- 6.3.1 Related Works -- 6.3.1.1 Scale Variance -- 6.3.1.2 Orientation Variance -- 6.3.1.3 Oriented Object Detection -- 6.3.1.4 Detecting in Large-size Images -- 6.3.2 Datasets and Benchmark -- 6.3.2.1 DOTA -- 6.3.2.2 VisDrone…”
Full text (MFA users only)

Network Routing : Algorithms, Protocols, and Architectures. by Medhi, Deep

Full text (MFA users only)

Deep Learning with Pytorch Quick Start Guide : Learn to Train and Deploy Neural Network Models in Python. by Julian, David

Table of Contents: “…; Installing PyTorch; Digital Ocean; Tunneling in to IPython; Amazon Web Services (AWS); Basic PyTorch operations; Default value initialization; Converting between tensors and NumPy arrays; Slicing and indexing and reshaping; In place operations; Loading data; PyTorch dataset loaders; Displaying an image; DataLoader; Creating a custom dataset; Transforms; ImageFolder; Concatenating datasets; Summary; Chapter 2: Deep Learning Fundamentals…”
Full text (MFA users only)

Machine learning with Scala quick start guide : leverage popular machine learning algorithms and techniques and implement them in Scala / by Karim, Md. Rezaul

Full text (MFA users only)

Theory of randomized search heuristics : foundations and recent developments

Full text (MFA users only)

Flowchart and Algorithm Basics : The Art of Programming. by Chaudhuri, A. B.

Full text (MFA users only)

How to guard an art gallery and other discrete mathematical adventures by Michael, T. S., 1960-

Table of Contents: “…s Formula: Second Proof -- 2.8 Batting Averages and Lattice Points -- 2.9 Three Dimensions and N-largements -- 2.10 Notes and References -- 2.11 Problems -- 3 How to Guard an Art Gallery -- 3.1 The Sunflower Art Gallery -- 3.2 Art Gallery Problems -- 3.3 The Art Gallery Theorem -- 3.4 Colorful Consequences -- 3.5 Triangular and Chromatic Assumptions -- 3.6 Modern Art Galleries -- 3.7 Art Gallery Sketches -- 3.8 Right-Angled Art Galleries -- 3.9 Guarding the Guards -- 3.10 Three Dimensions and the Octoplex…”
Full text (MFA users only)

The Human Algorithm by Solis, Brian

Full text (MFA users only)

Algorithms for Dummies. by Mueller, John Paul

Table of Contents: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Algorithms -- Chapter 1 Introducing Algorithms -- Describing Algorithms -- The right way to make toast: Defining algorithm uses -- Finding algorithms everywhere -- Using Computers to Solve Problems -- Getting the most out of modern CPUs and GPUs -- Working with special-purpose chips -- Networks: Sharing is more than caring -- Leveraging available data…”
Full text (MFA users only)

Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

Full text (MFA users only)

Permutation Group Algorithms by Seress, kos

Full text (MFA users only)

Deep Learning : From Big Data to Artificial Intelligence with R. by Tuffery, Stephane S.

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- Acknowledgements -- Introduction -- Chapter 1 From Big Data to Deep Learning -- 1.1 Introduction -- 1.2 Examples of the Use of Big Data and Deep Learning -- 1.3 Big Data and Deep Learning for Companies and Organizations -- 1.3.1 Big Data in Finance -- 1.3.1.1 Google Trends -- 1.3.1.2 Google Trends and Stock Prices -- 1.3.1.3 The quantmod Package for Financial Analysis -- 1.3.1.4 Google Trends in R -- 1.3.1.5 Matching Data from quantmod and Google Trends -- 1.3.2 Big Data and Deep Learning in Insurance…”
Full text (MFA users only)

Open Data Structures : an Introduction. by Morin, Pat

Full text (MFA users only)

Systematic Trading : a Practical Guide to Algorithmic Investment Strategies by Chan, Ernest P., 1966-

Full text (MFA users only)

Introduction to cryptography by Padhye, Sahadeo, Sahu, Rajeev A., Saraswat, Vishal

Full text (MFA users only)

Learn Unity ML-Agents - Fundamentals of Unity Machine Learning : Incorporate New Powerful ML Algorithms Such As Deep Reinforcement Learning for Games. by Lanham, Micheal

Full text (MFA users only)

Parallel Computing Using the Prefix Problem. by Lakshmivarahan, S.

Table of Contents: “…Preface; Acknowledgments; Part One -- Getting Started; Chapter 1 -- The Prefix Problem And Its Applications; 1.1 The Prefix Problem; 1.2 Why Prefix Problem; 1.3 Exercises; 1.4 Notes and References; Chapter 2 -- Parallel Machines And Models -- An Overview; 2.1 The Need for Parallelism; 2.2 A Classification of Parallel Computers; 2.3 Parallel Models; 2.4 Performance Measures; 2.5 A Parallel Complexity Class; 2.6 Brent's Inequality; 2.7 A Simple Lower Bound; 2.8 Exercises; 2.9 Notes and References; Part Two -- Algorithms For Shared Memory Models.…”
Full text (MFA users only)

Biophysics and Diving Decompression Phenomenology. by Wienke, B. R.

Table of Contents: “…Reduced Gradient Bubble Model (Wienke 2008); CORRELATED AND UNCORRELATED DIVEWARE; Algorithms; Packages; Examples; CONSISTENT CRITICAL PARAMETER SETS; SHALLOW AND DEEP STOP DATA CORRELATION; Applications ; NONSTOP AND REPETITIVE AIR DIVING; RECENT DOPPLER AND WET TEST ANALYSES; BENNETT AND MARONNI 2.5 MINUTE RECREATIONAL DEEP STOP; C & C TEAM 450/20 MULTIPLE RB DIVE SEQUENCE AT 1.4 ATM ; NEDU DEEP STOP AIR TESTS; FRENCH NAVY DEEP STOP SCHEDULES; GAS TRANSPORT ANALYSIS; TABLE, METER, AND PROFILE RISK ANALYSES.…”
Full text (MFA users only)

Pathway modeling and algorithm research

Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
Full text (MFA users only)