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The simplest way to create world-class apps Have a unique app idea
but worried you don't quite have the coding skills to build it?
Good news: You can stop fretting about someone beating you to
market with the same idea and start work right now using SwiftUI.
SwiftUI is a gateway app development framework that has become one
of the best ways for fledgling developers to get iOS apps off the
ground without having to become a coding expert overnight. SwiftUI
For Dummies makes that process even faster, providing a friendly
introduction to the SwiftUI and Swift programming language and
helping you feel right at home creating and building with
playgrounds. The book also covers the frameworks and APIs that make
it so easy to create smooth, intuitive interfaces--just dive right
in and have fun! Combine projects into workspaces Employ Xcode
editing tools Use constants and variables Test your code on iOS
Simulator Time is of the essence, and with SwiftUI For Dummies,
it's also on your side. Get going with this friendly guide today,
and you'll be celebrating the successful launch of your app way
before you thought possible!
Python makes machine learning easy for beginners and experienced
developers With computing power increasing exponentially and costs
decreasing at the same time, there is no better time to learn
machine learning using Python. Machine learning tasks that once
required enormous processing power are now possible on desktop
machines. However, machine learning is not for the faint of
heart--it requires a good foundation in statistics, as well as
programming knowledge. Python Machine Learning will help coders of
all levels master one of the most in-demand programming skillsets
in use today. Readers will get started by following fundamental
topics such as an introduction to Machine Learning and Data
Science. For each learning algorithm, readers will use a real-life
scenario to show how Python is used to solve the problem at hand. -
Python data science--manipulating data and data visualization -
Data cleansing - Understanding Machine learning algorithms -
Supervised learning algorithms - Unsupervised learning algorithms -
Deploying machine learning models Python Machine Learning is
essential reading for students, developers, or anyone with a keen
interest in taking their coding skills to the next level.
Nasopharyngeal Carcinoma: From Etiology to Clinical Practice
discusses NPC from basic science, to clinical management through
the perspective of members of the Centre for Nasopharyngeal
Carcinoma Research in Hong Kong. It encompasses not only the most
detailed information about multiple aspects of NPC, but also the
modern day research model of scientist-clinician collaboration,
focusing on bench-to-bedside approach. Basic science is covered,
discussing genetics and genomics in NPC and its epidemiology and
the role of Epstein-Barr Virus (EBV). Translational research is
also covered, presenting topics such as animal models, plasma EBV
DNA, molecular imaging and immunotherapy, amongst other topics.
This book is a valuable source for cancer researchers, oncologists,
medical oncologists and several members of the biomedical field who
are interested in learning more about NPC management from both
clinical and research perspectives.
Nasopharyngeal Cancer - Multidisciplinary Management provides a
comprehensive account of the current state of knowledge on
nasopharyngeal cancer and its multidisciplinary management. The
first ten chapters document contain essential background
information on subjects such as epidemiology, pathogenesis,
molecular biology, pathology, and the use of imaging in diagnosis
and staging. Subsequently, the various treatment options and
combinations in a range of settings are examined in depth. Detailed
attention is given to the roles of concurrent, adjuvant, and
neoadjuvant chemotherapy and advanced radiotherapy techniques.
Further chapters then explore surgical treatment, follow-up,
treatment of metastatic disease, treatment-related complications,
and nasopharyngeal cancer in children. This is an important book
that will prove essential reading for the radiation oncology
community worldwide and meet the need for substantial improvements
in knowledge of modern techniques.
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