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This straight-talking, empowering video program offers essential
information on how problem gambling develops, its damaging impact
on individuals and families, and how it can successfully be
treated. Through candid first-hand accounts from four recovering
gamblers, along with illuminating commentary from mental health
experts, the program shows gamblers, their families, and
therapists: *How an alluring diversion becomes a shameful secret as
problem gambling takes hold *Common myths and misperceptions about
gambling--and why winning big is so unlikely *The benefits of
individual and group therapy and self-help approaches *Ways to
overcome setbacks in recovery and make meaningful, lasting changes
Winner--CINE Golden Eagle Award
Michael Walker's Laurel Canyon presents the inside story of the
once hottest rock and roll neighborhood in LA. In the late sixties
and early seventies, an impromptu collection of musicians colonized
a eucalyptus-scented canyon deep in the Hollywood Hills of Los
Angeles and melded folk, rock, and savvy American pop into a sound
that conquered the world as thoroughly as the songs of the Beatles
and the Rolling Stones had before them. Thirty years later, the
music made in Laurel Canyon continues to pour from radios, iPods,
and concert stages around the world. During the canyon's golden
era, the musicians who lived and worked there scored dozens of
landmark hits, from California Dreamin' to Suite: Judy Blue Eyes to
It's Too Late, selling tens of millions of records and resetting
the thermostat of pop culture. In Laurel Canyon, veteran journalist
Michael Walker tells the inside story of this unprecedented
gathering of some of the baby boomer's leading musical
lights--including Joni Mitchell; Jim Morrison; Crosby, Stills, and
Nash; John Mayall; the Mamas and the Papas; Carole King; the
Eagles; and Frank Zappa, to name just a few--who turned Los Angeles
into the music capital of the world and forever changed the way
popular music is recorded, marketed, and consumed.
This third edition of Reconstructing Quaternary Environments has
been completely revised and updated to provide a new account of the
history and scale of environmental changes during the Quaternary.
The evidence is extremely diverse ranging from landforms and
sediments to fossil assemblages and geochemical data, and includes
new data from terrestrial, marine and ice-core records. Dating
methods are described and evaluated, while the principles and
practices of Quaternary stratigraphy are also discussed. The volume
concludes with a new chapter which considers some of the key
questions about the nature, causes and consequences of global
climatic and environmental change over a range of temporal scales.
This synthesis builds on the methods and approaches described
earlier in the book to show how a number of exciting ideas that
have emerged over the last two decades are providing new insights
into the operation of the global earth-ocean-atmosphere system, and
are now central to many areas of contemporary Quaternary research.
This comprehensive and dynamic textbook is richly illustrated
throughout with full-colour figures and photographs. The book will
be of interest to undergraduates, postgraduates and professionals
in Earth Science, Environmental Science, Physical Geography,
Geology, Botany, Zoology, Ecology, Archaeology and Anthropology
The popular and critical successes of films like The Sixth Sense
and The Ring and its sequels in the late 1990s led to an impressive
international explosion of scary films dealing with ghosts. This
book takes a close look at a number of those films from different
countries, including the United States, Japan, South Korea, Spain,
and Great Britain. Making a crucial distinction between these
atmospheric films and conventional horror, Michael Walker argues
that they are most productively seen as ghost melodramas, which
opens them up to a powerful range of analytic tools from the study
of melodrama, including, crucially, psychoanalysis.
The food supply chain needs to reassure consumers and businesses
about the safety and standards of food. Global estimates of the
cost of food fraud to economies run into billions of dollars hence
a huge surge in interest in food authenticity and means of
detecting and preventing food fraud and food crime. Approaches
targeting DNA markers have assumed a pre-eminence. This book is the
most comprehensive and timely collection of material from those
working at the forefront of DNA techniques applied to food
authenticity. Addressing the new field of analytical molecular
biology as it combines the quality assurance rigour of analytical
chemistry with DNA techniques, it introduces the science behind DNA
as a target analyte, its extraction, amplification, detection and
quantitation as applied to the detection of food fraud and food
crime. Making the link with traditional forensic DNA profiling and
describing emerging and cutting-edge techniques such as next
generation sequencing, this book presents real-world case studies
from a wide perspective including from analytical service
providers, industry, enforcement agencies and academics. It will
appeal to food testing laboratories worldwide, who are just
starting to use these techniques and students of molecular biology,
food science and food integrity. Food policy professionals and
regulatory organisations who will be using these techniques to back
up legislation and regulation will find the text invaluable. Those
in the food industry in regulatory and technical roles will want to
have this book on their desks.
Explore supercharged machine learning techniques to take care of
your data laundry loads Key Features Learn how to prepare data for
machine learning processes Understand which algorithms are based on
prediction objectives and the properties of the data Explore how to
interpret and evaluate the results from machine learning Book
DescriptionMany individuals who know how to run machine learning
algorithms do not have a good sense of the statistical assumptions
they make and how to match the properties of the data to the
algorithm for the best results. As you start with this book, models
are carefully chosen to help you grasp the underlying data,
including in-feature importance and correlation, and the
distribution of features and targets. The first two parts of the
book introduce you to techniques for preparing data for ML
algorithms, without being bashful about using some ML techniques
for data cleaning, including anomaly detection and feature
selection. The book then helps you apply that knowledge to a wide
variety of ML tasks. You'll gain an understanding of popular
supervised and unsupervised algorithms, how to prepare data for
them, and how to evaluate them. Next, you'll build models and
understand the relationships in your data, as well as perform
cleaning and exploration tasks with that data. You'll make quick
progress in studying the distribution of variables, identifying
anomalies, and examining bivariate relationships, as you focus more
on the accuracy of predictions in this book. By the end of this
book, you'll be able to deal with complex data problems using
unsupervised ML algorithms like principal component analysis and
k-means clustering. What you will learn Explore essential data
cleaning and exploration techniques to be used before running the
most popular machine learning algorithms Understand how to perform
preprocessing and feature selection, and how to set up the data for
testing and validation Model continuous targets with supervised
learning algorithms Model binary and multiclass targets with
supervised learning algorithms Execute clustering and dimension
reduction with unsupervised learning algorithms Understand how to
use regression trees to model a continuous target Who this book is
forThis book is for professional data scientists, particularly
those in the first few years of their career, or more experienced
analysts who are relatively new to machine learning. Readers should
have prior knowledge of concepts in statistics typically taught in
an undergraduate introductory course as well as beginner-level
experience in manipulating data programmatically.
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