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The Easy Introduction to Machine Learning (Ml) for Nontechnical
People--In Business and Beyond Artificial Intelligence for Business
is your plain-English guide to Artificial Intelligence (AI) and
Machine Learning (ML): how they work, what they can and cannot do,
and how to start profiting from them. Writing for nontechnical
executives and professionals, Doug Rose demystifies AI/ML
technology with intuitive analogies and explanations honed through
years of teaching and consulting. Rose explains everything from
early "expert systems" to advanced deep learning networks. First,
Rose explains how AI and ML emerged, exploring pivotal early ideas
that continue to influence the field. Next, he deepens your
understanding of key ML concepts, showing how machines can create
strategies and learn from mistakes. Then, Rose introduces current
powerful neural networks: systems inspired by the structure and
function of the human brain. He concludes by introducing leading AI
applications, from automated customer interactions to event
prediction. Throughout, Rose stays focused on business: applying
these technologies to leverage new opportunities and solve real
problems. Compare the ways a machine can learn, and explore current
leading ML algorithms Start with the right problems, and avoid
common AI/ML project mistakes Use neural networks to automate
decision-making and identify unexpected patterns Help neural
networks learn more quickly and effectively Harness AI chatbots,
virtual assistants, virtual agents, and conversational AI
applications
Learn how to build a data science team within your organization
rather than hiring from the outside. Teach your team to ask the
right questions to gain actionable insights into your business.
Most organizations still focus on objectives and deliverables.
Instead, a data science team is exploratory. They use the
scientific method to ask interesting questions and run small
experiments. Your team needs to see if the data illuminate their
questions. Then, they have to use critical thinking techniques to
justify their insights and reasoning. They should pivot their
efforts to keep their insights aligned with business value.
Finally, your team needs to deliver these insights as a compelling
story. Insight!: How to Build Data Science Teams that Deliver Real
Business Value shows that the most important thing you can do now
is help your team think about data. Management coach Doug Rose
walks you through the process of creating and managing effective
data science teams. You will learn how to find the right people
inside your organization and equip them with the right mindset. The
book has three overarching concepts: You should mine your own
company for talent. You can't change your organization by hiring a
few data science superheroes. You should form small, agile-like
data teams that focus on delivering valuable insights early and
often. You can make real changes to your organization by telling
compelling data stories. These stories are the best way to
communicate your insights about your customers, challenges, and
industry. What Your Will Learn: Create data science teams from
existing talent in your organization to cost-efficiently extract
maximum business value from your organization's data Understand key
data science terms and concepts Follow practical guidance to create
and integrate an effective data science team with key roles and the
responsibilities for each team member Utilize the data science life
cycle (DSLC) to model essential processes and practices for
delivering value Use sprints and storytelling to help your team
stay on track and adapt to new knowledge Who This Book Is For Data
science project managers and team leaders. The secondary readership
is data scientists, DBAs, analysts, senior management, HR managers,
and performance specialists.
Leading Agile Teams is a practical and engaging guide to help your
organization embrace a more agile mindset. Most organizations work
in large groups when trying to find solutions for big problems.
Agile teams are different. They get more done by having a small
self-organized team focus on the highest priority items. Each big
problem is broken down and solved by a small, stable group of
dedicated professionals. This book will give you the knowledge and
tools you need to create and sustain strong agile teams. It is
written for the developers, project managers, product owners, and
ScrumMasters, who do most of the legwork in getting agile up and
running.
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