By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients.
However, researchers face problems in identifying suitable algorithms for pre-processing, tran.
Pooja Rani
Shalli Rani
Seema Rani
Lalitha RANI
Rani-Henrik Andersson
Geeta Ramanujam
Sandhya Rani Jha
Rekha Rani
Geeta Kapur
Rani Publisher
Geeta Singh
anita rani
suman rani
K. Suneetha Rani
Sandhya Rani Jha
Shobha Rani Dash
Chhabi Rani Panigrahi
This book covers recent research on the covid-19 pandemic.
Rani Jha Sandhya
Geeta Gosain
Geeta N. Kapur
Law professor and civil rights activist geeta kapur chronicles systemic racism in leadership, scholarship, and organizational foundations at university of chapel hill.
Rani Iyer
puja rani
Rani Publisher
Chhabi Rani Panigrahi
This book covers recent research on the covid-19 pandemic.
Rani Publisher
Geeta Aiyer
Geeta Rana
This book shows how to build and maintain a distinctive and credible employer brand and develop a set of relevant success metrics to help measure return on investment (roi).
Shalli Rani
Rani Publisher
Sasmita Rani Samanta
Chhabi Rani Panigrahi
Geeta Dhar
Rani Shah
Rani Iyer
Sandhya Rani Jha
Rani-Henrik Andersson
Rani Dhavan Shankardass
Sandhya Rani Jha
Geeta Tewari
Geeta Shree
Chhabi Rani Panigrahi
Rani Iyer
Rani Iyer
Chhabi Rani Panigrahi
Luis Serrano
It's time to dispel the myth that machine learning is difficult.
Himani Bansal
Peter Wlodarczak
In recent years, machine learning has gained a lot of interest.
P. M. Satchell
First published in 1998, this book links the forces of innovation and automation positively by shifting the focus on human-machine interactions from the current, technology-centred approach, to one where sharing is evolved and creativity is no longer supp.
Katherine Chandler
Unmanning studies the conditions that create unmanned platforms in the united states through a genealogy of experimental, pilotless planes flown between 1936 and 1992.
Dara Tomasson
Giuseppe Bonaccorso
Guozhu Dong
Feature engineering plays a vital role in big data analytics.
Carl Gold
Max A. Little
Brad Boehmke
"this book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the r programming language to apply descriptive, predictive, and prescriptive analytic methodologies for problem .
Hitoshi Iba
What do financial data prediction, day-trading rule development, and bio-marker selection have in common?
James D. Miller
Wei-Meng Lee
Python makes machine learning easy for beginners and experienced developerswith computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using python.
Xin-She Yang
Introduction to algorithms for data mining and machine learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques.
Taylor Arnold
A computational approach to statistical learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods.
Brett Lantz
Written as a tutorial to explore and understand the power of r for machine learning.
Karthiek Reddy Bokka
Sean Gerrish
Everything you've always wanted to know about self-driving cars, netflix recommendations, ibm's watson, and video game-playing computer programs.
Peter Wlodarczak
In recent years, machine learning has gained a lot of interest.
Mustapha Mouloua
Mustapha Mouloua
Cheryl Malkowski
Arnost Svoboda
Robert L. Norton
Excerpt from machine design the word stress will be used to denote the resistance of material to distortion per unit of sectional area.
Brad Boehmke
"this book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the r programming language to apply descriptive, predictive, and prescriptive analytic methodologies for problem .
Boris M. Klebanov
Amanda Murphy
Changliu Liu
In this book, we have set up a unified analytical framework for various human-robot systems, which involve peer-peer interactions (either space-sharing or time-sharing) or hierarchical interactions.
Katie J. Parnell
Daniel Black
Simon Winchester
The revered new york times bestselling author traces the development of technology from the industrial age to the digital age to explore the single component crucial to advancement—precision—in a superb history that is both an homage and a warning .
Ming Hou
Terrence J. Sejnowski
Raja Parasuraman
There is perhaps no facet of modern society where the influence of computer automation has not been felt.
Clémentine Lubin
Pedro Larrañaga
industrial applications of machine learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to bui.
David H. Wolpert
Ansel C. Ugural
analyze and solve real-world machine design problems using si units mechanical design of machine components, second edition: si version strikes a balance between method and theory, and fills a void.
Kristina Hook
Sean Gerrish
Everything you've always wanted to know about self-driving cars, netflix recommendations, ibm's watson, and video game-playing computer programs.
Pedro Larrañaga
industrial applications of machine learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to bui.
Xuanyi Chew
Bahrudin Hrnjica
Alethea Blackler
Chris McNab
Ming Hou
Katie J. Parnell
Andrea L. Guzman
From virtual assistants to social robots, people are increasingly interacting with intelligent and highly communicative technologies throughout their daily lives.
Mark Fenner
Nicholas G. Polson
'there comes a time in the life of a subject when someone steps up and writes the book about it.
Guozhu Dong
Feature engineering plays a vital role in big data analytics.