## Home > Tags: random (Total 29 Records)

### Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction

Computer Science By:William Sullivan 2017-08-19 00:00:00

Machines can LEARN ?!?! Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning Instead of spending hu Computer Science

Tags:
*guide*
*algorithm*
*learning*
*machine*
*forest*
*random*
*supervised*
*tree*
*unsupervsied*

### Machine Learning: The Ultimate Beginners Guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple

Networking By:Ryan Roberts 2017-07-29 00:00:00

The Ultimate Beginners Guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple From smart bulbs to self-driving cars, intelligent machines are becoming ever more prevalent in our day to day lives. The underpinning of this technology is called machine learning, and is the Networking

Tags:
*network*
*guide*
*neural*
*algorithm*
*learning*
*machine*
*random*
*trees*
*forests*

### Generating Random Networks and Graphs

Algorithms By:Ton Coolen 2017-05-23 00:00:00

Generating random networks efficiently and accurately is an important challenge for practical applications, and an interesting question for theoretical study. This book presents and discusses common methods of generating random graphs. It begins with approaches such as Exponential Random Graph Model Algorithms

Tags:
*network*
*generating*
*graphs*
*random*

### Machine Learning: For Beginners Your Definitive guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple (Machine Learning Series Book 1)

Algorithms By:Matt Gates 2017-06-17 00:00:00

Your Definitive guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple Have you ever pause and wonder why some companies like Amazon knows what you like or browsing and make timely recommendations to you? Have you notice that some ads are really sticky and seem to fol Algorithms

Tags:
*network*
*guide*
*neural*
*algorithm*
*series*
*learning*
*machine*
*random*
*trees*
*forests*

### Probability and Random Processes, Second Edition: With Applications to Signal Processing and Communications

Digital Signal Processing By:Scott Miller 2012-01-25 00:00:00

Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing eng random processes, signal processing, narrowband random processes, real world signal, random variables

Tags:
*application*
*signal*
*communication*
*processing*
*process*
*probability*
*random*

### Random Wireless Networks: An Information Theoretic Perspective

Telecommunications By:Rahul Vaze 2015-04-13 00:00:00

This book discusses the theoretical limits of information transfer in random wireless networks or ad hoc networks, where nodes are distributed uniformly random in space and there is no centralised control. It provides a detailed analysis of the two relevant notions of capacity for random wireless ne random wireless networks, transmission capacity, transmission capacity framework, theoretic perspectivethis book, information theoretic

Tags:
*network*
*information*
*wireless*
*perspective*
*random*
*theoretic*

### Introduction to Random Signals and Noise

Digital Signal Processing By:Wim C. Van Etten 2005-09-12 00:00:00

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, thi random signals, noiserandom signals, useful signals, bandpass signals, unwanted signals

### Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign

Computer Science By:Jinbo Xu, Sheng Wang, Jianzhu Ma 2015-00-00 00:00:00

This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) b markov random fields, protein homology detection, homology detection methods, novel markov random, method.protein homology detection

Tags:
*detection*
*markov*
*alignment*
*random*
*protein*
*fields*
*homology*
*mrfalign*

### Deterministic Extraction from Weak Random Sources

Computer Science By:Ariel Gabizon 2010-10-08 00:00:00

A deterministic extractor is a function that extracts almost perfect random bits from a weak random source. In this research monograph the author constructs deterministic extractors for several types of sources. A basic theme in this work is a methodology of recycling randomness which enables increa deterministic extractors, sourcesa deterministic extractor, weak random source, deterministic extraction, perfect random bits

Tags:
*sources*
*random*
*extraction*
*deterministic*
*weak*

### Evolution of Random Search Trees (Wiley Series in Discrete Mathematics and Optimization)

Algorithms By:Hosam M. Mahmoud 1991-11-00 00:00:00

While several excellent books have been written on algorithms and their analysis, remarkably few have been dedicated to the probabilistic analysis of algorithms. This graduate text/professional reference fills that gap and brings together material that is scattered over tens of publications. Its uni random search trees, discrete mathematics, graduate text/professional reference, random growth, excellent books

Tags:
*optimization*
*series*
*search*
*wiley*
*mathematics*
*discrete*
*random*
*trees*