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Machine Learning For Dummies
Machine Learning For Dummies
One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021)

Your comprehensive entry-level guide to machine learning

While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial...

Mastering Malware Analysis: The complete malware analyst's guide to combating malicious software, APT, cybercrime, and IoT attacks
Mastering Malware Analysis: The complete malware analyst's guide to combating malicious software, APT, cybercrime, and IoT attacks

Master malware analysis to protect your systems from getting infected

Key Features

  • Set up and model solutions, investigate malware, and prevent it from recurring
  • Learn core concepts relating to dynamic malware analysis, memory forensics, decryption, and much more
  • ...
Yet Another Introduction to Dark Matter: The Particle Physics Approach (Lecture Notes in Physics)
Yet Another Introduction to Dark Matter: The Particle Physics Approach (Lecture Notes in Physics)

Dark matter is a frequently discussed topic in contemporary particle physics. Written strictly in the language of particle physics and quantum field theory, these course-based lecture notes focus on a set of standard calculations that students need in order to understand weakly interacting dark matter candidates.

After...

Planetary Cartography and GIS (Lecture Notes in Geoinformation and Cartography)
Planetary Cartography and GIS (Lecture Notes in Geoinformation and Cartography)

This book approaches geological, geomorphological and topographical mapping from the point in the workflow at which science-ready datasets are available. Though there have been many individual projects on dynamic maps and online GISs, in which coding and data processing are given precedence over cartographic principles, cartography...

Predictive Analytics For Dummies
Predictive Analytics For Dummies

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...

Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)
Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)

This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are research results conducted during 2001-2008, will be added. The book consists of two parts - the first contains the basic theory of wavelet analysis and the second includes...

OpenCL Parallel Programming Development Cookbook
OpenCL Parallel Programming Development Cookbook

OpenCL (Open Computing Language) is the first royalty-free standard for cross platform, parallel programming of modern processors found in personal computers, servers, mobiles, and embedded devices. OpenCL greatly improves speed and responsiveness for a wide spectrum of applications in numerous market categories, from gaming and entertainment...

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to...
New Geometric Data Structures for Collision Detection and Haptics (Springer Series on Touch and Haptic Systems)
New Geometric Data Structures for Collision Detection and Haptics (Springer Series on Touch and Haptic Systems)

Starting with novel algorithms for optimally updating bounding volume hierarchies of objects undergoing arbitrary deformations, the author presents a new data structure that allows, for the first time, the computation of the penetration volume. The penetration volume is related to the water displacement of the overlapping region, and thus...

Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

  • Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
  • Explore deep neural...
2D Object Detection and Recognition: Models, Algorithms, and Networks
2D Object Detection and Recognition: Models, Algorithms, and Networks
This book is about detecting and recognizing 2D objects in gray-level images. Howare
models constructed? Howare they trained? What are the computational approaches to
efficient implementation on a computer? And finally, how can some of these computations
be implemented in the framework of parallel and biologically plausible neural...
Graph Algorithms in the Language of Linear Algebra (Software, Environments, and Tools)
Graph Algorithms in the Language of Linear Algebra (Software, Environments, and Tools)

Graphs are among the most important abstract data types in computer science, and the algorithms that operate on them are critical to modern life. Graphs have been shown to be powerful tools for modeling complex problems because of their simplicity and generality. Graph algorithms are one of the pillars of mathematics, informing research in...

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