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Freight (DVD)
Billy Murray, Craig Fairbrass, Danny Midwinter, Laura Aikman, Sam Kennard, …
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Gritty crime thriller, from director Stuart St Paul, about a group
of Russian criminals operating a sex trade in the heart of Northern
England. Led by the ruthless Cristi (Danny Midwinter), the gang
kidnaps and traffics a group of Eastern Europeans to Leeds, forcing
the men into illegal fighting and the women into the sex industry.
When they capture local businessman Gabe Taylor (Billy Murray)'s
daughter, however, things turn ugly, and it's a race against time
to get her back alive in time for her wedding.
This quick guide to regular expressions is a condensed code and
syntax reference for an important programming technique. It
demonstrates regex syntax in a well-organized format that can be
used as a handy reference, showing you how to execute regexes in
many languages, including JavaScript, Python, Java, and C#. The
Regex Quick Syntax Reference features short, focused code examples
that show you how to use regular expressions to validate user
input, split strings, parse input, and match patterns. Utilizing
regular expressions to deal with search/replace and filtering data
for backend coding is also covered. You won't find any bloated
samples, drawn out history lessons, or witty stories in this book.
What you will find is a language reference that is concise and
highly accessible. The book is packed with useful information and
is a must-have for any programmer. What You Will Learn Formulate an
expression Work with arbitrary char classes, disjunctions, and
operator precedence Execute regular expressions and visualize using
finite state machines Deal with modifiers, including greedy and
lazy loops Handle substring extraction from regex using Perl 6
capture groups, capture substrings, and reuse substrings Who This
Book Is For If you have dealt with at least one programming
language, chances are you know enough to understand regular
expressions, and the examples in this book will help you develop
proficiency.
As a software developer, your technical skill set is in high
demand. Devices and technology have become an integral part of our
everyday lives and no digital organization can thrive without
technical professionals on the payroll. However, career plateaus
are inevitable in even the most high-demand field. Companies do not
only need software developers; they need software developers with
soft skills. In Soft Skills to Advance Your Developer Career,
author Zsolt Nagy explores how emotional intelligence can give your
software development career an edge. These subjects are not taught
in school, and unfortunately the career advancement of many
excellent developers can be blocked by their inability to
effectively communicate their needs, assert themselves, and
negotiate confidently. Throughout this book, Nagy shows you how to
actively improve and prioritize your soft skills so that you can
better represent the holistic interests of your team, obtain better
working conditions, negotiate raises, and increase your variety of
employment options by elevating your interviewing skills. Discover
the obstacles standing between you and a fulfilling career by
finding and improving strengths you may not have even known you
had. Jump out of your box with Soft Skills to Advance Your
Developer Career and leverage your expertise with effortless
confidence at all stages of your professional journey. What You
Will Learn Examine why software developer careers cannot be treated
similarly as any other career path Understand the four soft-skills
you need to advance your career Develop a strategy for your
personal brand and align it with your career plan Realize the role
of assertive communication, and the importance of giving and
receiving feedback Create a plan for setting yourself up for a
raise or promotion Discover techniques for acing the behavioral and
coding interview Who This Book Is ForSoftware developers who have
the technical skills required for career advancement, but want a
guide on how to manage their careers
With knowledge and information shared by experts, take your first
steps towards creating scalable AI algorithms and solutions in
Python, through practical exercises and engaging activities Key
Features Learn about AI and ML algorithms from the perspective of a
seasoned data scientist Get practical experience in ML algorithms,
such as regression, tree algorithms, clustering, and more Design
neural networks that emulate the human brain Book DescriptionYou
already know that artificial intelligence (AI) and machine learning
(ML) are present in many of the tools you use in your daily
routine. But do you want to be able to create your own AI and ML
models and develop your skills in these domains to kickstart your
AI career? The Applied Artificial Intelligence Workshop gets you
started with applying AI with the help of practical exercises and
useful examples, all put together cleverly to help you gain the
skills to transform your career. The book begins by teaching you
how to predict outcomes using regression. You'll then learn how to
classify data using techniques such as k-nearest neighbor (KNN) and
support vector machine (SVM) classifiers. As you progress, you'll
explore various decision trees by learning how to build a reliable
decision tree model that can help your company find cars that
clients are likely to buy. The final chapters will introduce you to
deep learning and neural networks. Through various activities, such
as predicting stock prices and recognizing handwritten digits,
you'll learn how to train and implement convolutional neural
networks (CNNs) and recurrent neural networks (RNNs). By the end of
this applied AI book, you'll have learned how to predict outcomes
and train neural networks and be able to use various techniques to
develop AI and ML models. What you will learn Create your first AI
game in Python with the minmax algorithm Implement regression
techniques to simplify real-world data Experiment with
classification techniques to label real-world data Perform
predictive analysis in Python using decision trees and random
forests Use clustering algorithms to group data without manual
support Learn how to use neural networks to process and classify
labeled images Who this book is forThe Applied Artificial
Intelligence Workshop is designed for software developers and data
scientists who want to enrich their projects with machine learning.
Although you do not need any prior experience in AI, it is
recommended that you have knowledge of high school-level
mathematics and at least one programming language, preferably
Python. Although this is a beginner's book, experienced students
and programmers can improve their Python skills by implementing the
practical applications given in this book.
Create AI applications in Python and lay the foundations for your
career in data science Key Features Practical examples that explain
key machine learning algorithms Explore neural networks in detail
with interesting examples Master core AI concepts with engaging
activities Book DescriptionMachine learning and neural networks are
pillars on which you can build intelligent applications. Artificial
Intelligence and Machine Learning Fundamentals begins by
introducing you to Python and discussing AI search algorithms. You
will cover in-depth mathematical topics, such as regression and
classification, illustrated by Python examples. As you make your
way through the book, you will progress to advanced AI techniques
and concepts, and work on real-life datasets to form decision trees
and clusters. You will be introduced to neural networks, a powerful
tool based on Moore's law. By the end of this book, you will be
confident when it comes to building your own AI applications with
your newly acquired skills! What you will learn Understand the
importance, principles, and fields of AI Implement basic artificial
intelligence concepts with Python Apply regression and
classification concepts to real-world problems Perform predictive
analysis using decision trees and random forests Carry out
clustering using the k-means and mean shift algorithms Understand
the fundamentals of deep learning via practical examples Who this
book is forArtificial Intelligence and Machine Learning
Fundamentals is for software developers and data scientists who
want to enrich their projects with machine learning. You do not
need any prior experience in AI. However, it's recommended that you
have knowledge of high school-level mathematics and at least one
programming language (preferably Python).
After the shock of the 1920 Treaty of Trianon, which Hungarians
perceived as an unfair dictate, the leaders of the country found it
imperative to change Hungary's international image in a way that
would help the revision of the post-World War I settlement. The
monograph examines the development of interwar Hungarian cultural
diplomacy in three areas: universities, the tourist industry, and
the media-primarily motion pictures and radio production. It is a
story of the Hungarian elites' high hopes and deep-seated anxieties
about the country's place in a Europe newly reconstructed after
World War I, and how these elites perceived and misperceived
themselves, their surroundings, and their own ability to affect the
country's fate. The defeat in the Great War was crushing, but it
was also stimulating, as Nagy documents in his examination of
foreign language journals, tourism, radio, and other tools of
cultural diplomacy. The mobilization of diverse cultural and
intellectual resources, the author argues, helped establish
Hungary's legitimacy in the international arena, contributed to the
modernization of the country, and established a set of enduring
national images. Though the study is rooted in Hungary, it explores
the dynamic and contingent relationship between identity
construction and transnational cultural and political currents in
East-Central European nations in the interwar period.
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