HOBOKEN,
N.J., June 26, 2023 /PRNewswire/ -- Pearson
[FTSE: PSON.L], the world's leading learning company, today
launched an AI Summer Reading List, a collection of titles selected
to encourage the exploration of artificial intelligence. Pearson is
a leader in AI publishing, helping students and professionals
understand and apply generative AI to learn and advance their
careers. These titles, written by leading AI experts, have
been selected to spark curiosity, generate forward-thinking and
unlock new potential.
Pearson's AI Summer Reading List is a
collection of titles selected to encourage the exploration of
AI
"AI is the most talked about technology that is revolutionizing
how we live and interact with each other. To harness its power
responsibly, leaders and learners must have the resources to
understand its potential and associated challenges. In order to
truly understand its far-reaching social impact, these titles will
help people understand its strength and apply AI responsibly in
their careers and our society." said Andy Bird, CEO of Pearson.
Pearson's 2023 Summer Reading list includes:
The AI Revolution in Medicine: GPT-4 and Beyond by Peter Lee, Carey
Goldberg, and Isaac Kohane
Three insiders who've had months of early access to GPT-4 reveal
its momentous potential -- to improve diagnoses, summarize patient
visits, streamline processes, accelerate research, and much
more. There has never been technology like this. Whether
you're a physician, patient, healthcare leader, payer, policymaker,
or investor, artificial intelligence will profoundly impact you --
and it might make the difference between life or death.
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
This is a guide to the theory and practice of modern AI, written
by renowned AI experts, Stuart
Russell, Professor of Computer Science at UC Berkely and
Peter Norvig, Director of Research
at Google. It introduces major concepts using intuitive
explanations and nontechnical language, before going into
mathematical or algorithmic details. In-depth coverage of both
basic and advanced topics provides you with a solid understanding
of the frontiers of AI without compromising complexity and
depth.
Deep Learning Illustrated: A Visual, Interactive Guide to
Artificial Intelligence by Jon Krohn
with Grant Beyleveld and Aglaé
Bassens
Three world-class instructors and practitioners present a
uniquely visual, intuitive, and accessible high-level introduction
to the techniques and applications of deep learning. Packed with
vibrant, full-color illustrations, it abstracts away much of the
complexity of building deep learning models, making the field more
fun to learn and accessible to a far wider audience.
Learning Deep Learning: Theory and Practice of Neural Networks,
Computer Vision, Natural Language Processing, and Transformers
Using TensorFlow by Magnus Ekman
This is a complete guide to Deep Learning. It illuminates both
the core concepts and the hands-on programming techniques needed to
succeed. Ekman demonstrates how to use the essential building
blocks of deep neural networks to build advanced architectures, and
how these concepts are used to build modern networks for computer
vision and natural language processing (NLP), including Mask R-CNN,
GPT, and BERT.
Foundations of Deep Reinforcement Learning: Theory and Practice
in Python by Laura Graesser and
Wah Loon Keng
This title is an introduction to deep Reinforcement Learning,
uniquely combining both theory and implementation. It starts with
intuition, then carefully explains the theory of deep RL
algorithms, discusses implementations in its companion software
library SLM Lab, and finishes with the practical details of getting
deep RL to work.
About Pearson
At Pearson, our purpose is simple: to add life to a lifetime of
learning. We believe that every learning opportunity is a chance
for a personal breakthrough. That's why our c.20,000 Pearson
employees are committed to creating vibrant and enriching learning
experiences designed for real-life impact. We are the world's
leading learning company, serving customers in c.200 countries with
digital content, assessments, qualifications, and data. For us,
learning isn't just what we do. It's who we are.
For more information visit us at pearsonplc.com and connect with
Pearson on Twitter and LinkedIn.
Media Contact:
Joe.Wiggins@pearson.com
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