Tag: algorithms

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Artificial Intelligence Education Innovation Reading

Latest Read: Machine Learning: The New AI

Machine Learning: The New AI by Ethem Alpaydin. A Fulbright scholar, Ethem holds a Ph.D. in Computer Engineering from Ecole Polytechnique Fédérale de Lausanne. He has held visiting research positions at University of California, Berkeley, and MIT.

Machine Learning: The New AI by Ethem Alpaydin

Ethem is delivering an exceptional overview of machine learning. If you want to understand the foundations of machine learning without any programming details, this is the perfect book. The math and statistics are delivered at a conceptual level. Anyone can follow along. He provides a solid foundation addressing algorithms, artificial intelligence, and neural networks. Again for anyone interested, this book is not technical. You will not be overwhelmed, but rather inspired to learn.

Today, Machine Learning (ML) certainly is the most popular subset of artificial intelligence. With ML certainly now a core AI service, we can more easily understand the growing range of ML apps we use everyday.

This includes product recommendations to voice recognition. Spread across just seven chapters, readers will come to understand ML, Statistics and Data Analytics. However chapter four: Neural Networks and Deep Learning is a strong delivery of ML’s core services. This is perhaps the most important chapter for readers new to ML. Ethem provides the much needed context that the foundations were first tested in 1946. This helps set a level playing field in following onto neural networks and the core of deep learning.

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Artificial Intelligence Education Innovation Reading

Latest Read: The Digital Mindset

The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI by Paul Leonardi and Tsedal Neeley.

The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI by Paul Leonardi and Tsedal Neeley

Paul Leonardi, Ph.D., is Department Chair and Professor of Technology Management at UC Santa Barbara. He holds a MA from University of Colorado at Boulder and a Ph.D. in Management Science and Engineering from Stanford University.

Tsedal Neeley is Professor of Business Administration and Senior Associate Dean of Faculty Development and Research Strategy at the Harvard Business School. She received her Ph.D. from Stanford University in Management Science and Engineering.

Above all, this book is a great primer addressing well developed digital technologies: algorithms, artificial intelligence, machine learning, and deep learning. Their lessons served include today’s society has become well adjusted to web technologies. Markets and industries are in fact well versed with these technologies. Users must be fully aware that AI is just the next evolution to the way workflows are expected.

As long time collaborators, Paul and Tsedal outline their ‘digital mindset’ across three areas: Collaboration, Computation, and Change. By adopting all three, users can in fact achieve a digital mindset. This includes perspectives that will lead to developing new digital skills. In addition, their message for Leaders is to adopt all three approaches. In leading their organizations, they will prepare current staff for a successful future as digital transformations continue to accelerate.

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Education Reading

Latest Read: Outnumbered

Outnumbered: From Facebook and Google to Fake News and Filter-bubbles – The Algorithms That Control Our Lives by David Sumpter. He is a professor of Applied Mathematics at the University of Uppsala, Sweden. David was awarded the UK’s Institute of Mathematics 2015 prize for communicating mathematics to a wider audience in his research How to Model Honeybee Colonies.

Outnumbered: Exploring the Algorithms That Control Our Lives by David Sumpter

As this title implies, the exploitation of algorithms is brought into focus. The timing of reading this book today is almost perfect. The abuse by Facebook and Google continue. The fallout of the Cambridge Analytica scandal also continues. In fact, David’s work is perhaps even more poignant as OpenAI’s ChatGPT-3 has taken the world by storm.

Perhaps now in early 2023 the coming GPT4 will shift the common misconception that AI algorithms are actually more advanced that many considered.
While the world was somewhat confused by the integrity of ChatGPT-3 data, OpenAI’s collaboration integrating Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT.
Give it less than six to eight months and this will spin the ChatGPT non-believers into new knots.

However there are certainly many interesting examples that follow revealing when statistical techniques require advanced mathematical knowledge and ultimately requiring more time (and effort) to fully understand and ultimately communicate outcomes effectively to general audience.

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Artificial Intelligence Education Innovation Reading Technology

Latest Read: The Ten Equations That Rule the World

The Ten Equations That Rule the World by David Sumpter. He is a professor of Applied Mathematics at the University of Uppsala, Sweden. David was awarded the UK’s Institute of Mathematics 2015 prize for communicating mathematics to a wider audience in his research How to Model Honeybee Colonies.

The Ten Equations That Rule the World by David Sumpter

David provides a deep overview of ten equations: Betting, Judgement, Confidence, Skill , Influencer, Market, Advertising, Reward, Learning, and The Universal Equation. Each equation (algorithm) includes stories that certainly provide deeper understanding.

On the other hand, the opening chapter did not really connect with me. The Betting Equation focuses on UK soccer and for reveals how betting odds can be adjusted against reality.

Nevertheless, I am not sure why this did not resonate as the rest of the book is just delightful to read.

In addition, the second chapter, Judgement Equation is the basis of Bayesian statistics and this storyline really stuck with me.

Furthermore, it is great to see David reference The Signal and the Noise by Nate Silver within the third chapter, The Confidence Equation.

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Education Globalization Google Innovation Network Reading Technology

Latest Read: Algorithms To Live By

Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian and Tom Griffiths. Brian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and New Yorker favorite book of the year. Tom is a professor of psychology and cognitive science at Princeton University. In addition, he directs the Institute of Cognitive and Brain Sciences.

Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian, Tom Griffiths

At first glance the idea of brining algorithms into our daily lives seems a bit too much, even for a budding computer nerd. At the same time, Brian and Tom prove that most of us are already doing this daily.

I recall spending many hours programming SQL while living in Chicago and realizing how much more efficient my grocery shopping would be if I actually transformed my shopping list into a SQL table:

SELECT * FROM FoodGroup
ORDER BY GroceryStoreIsle;

So I can certainly agree. Yet this idea still may seem daunting. If you begin thinking about repeating tasks you perform, even laundry should certainly make you believe there is a better way.

Algorithms will certainly make this possible. Therefore, you may be spending too much time repeating tasks. This is where the book reveals how you can become efficient, by sharing the history and development of many common algorithms. You will certainly discover a few frameworks.

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