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'This powerful book will help you tackle stress and learn more
about yourself in the process' Sir Clive Woodward OBE Are you
feeling stressed at work? Is it 'good' stress, 'bad' stress? Or has
it turned into 'ugly' stress? For some, there is a high price to
pay for ambition and success. The toll it can take on our mental
health can be significant, particularly if we are born with the
'Worry' gene. In Beat Stress at Work, management trainer Mark
Simmonds helps you understand the effects stress and anxiety can
have on your mental health and provides tools and advice to help
you to find your way through work-induced struggles. Sharing his
own brutally honest journey and using his corporate experience,
Mark sheds light on the difficulty of discussing mental health with
colleagues and employers and identifies the best ways for
navigating your way through a mental health crisis. The book: *
Encourages you to maintain positive mental health by better
understanding yourself and finding a career that suits your most
authentic self. * Shows you how to return safely to the workplace
after a period of mental ill health and communicate effectively
with your peers and managers. * Demonstrates how your resilience
'muscle' can help you fulfil your ambitions in the professional
arena, while being mindful of your mental health. * Pinpoints some
of the key lessons from COVID-19 about stress management and the
working environment. Through the advice in this book, you will
learn that your mental health issues may not be the barriers you
view them as but may hold value in the workplace. Mark shows you
that it is possible to be ambitious and successful at work because
of, not in spite of, the mental health challenges you may face.
From humble evolutions in research papers and labs, artificial
intelligence (AI)—which encompasses Machine Learning (ML) and
Deep Learning (DL)—has matured in its many forms, infused in
applications that can learn on their own and become progressively
smarter with each interaction and transaction. Coupled with immense
stores of data, maturity in CPU and GPU hardware, the invention of
new, open source deep learning algorithms, and cloud technologies,
operational AI has become available to the masses, setting the
wheels in motion for a worldwide AI revolution that has never been
seen before. This book attempts to help the reader on their AI
journey by covering the concepts of AI, Machine Learning, and Deep
Learning in its many forms; key ML and DL algorithms data
scientists should learn; ethical challenges for the use of AI; how
AI is being used across industries; possible future outlook for AI,
and an AI Ladder to help accelerate the AI journey.
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R367
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