A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)

The right book for the right time!

"We are in the midst of a transition period. The more advanced Artificial Intelligence becomes, the more uncertainty spreads. We must reposition ourselves and change our mindset if we don’t want to perish."

~ (MINDFUL AI)

Mindful AI refers to designing and building artificial intelligence (AI) systems with awareness and consideration of their ethical, moral, and societal implications. Mindful AI involves taking a holistic approach to AI that incorporates considerations of fairness, transparency, accountability, and respect for human rights. This can include examining AI systems' potential biases and unintended consequences and ensuring that they are designed and used responsibly and ethically. By approaching AI with mindfulness, developers and organizations can help build trust in the technology while ensuring that it is used in ways aligned with society's values and interests.

About the Author:
Murat Durmus is CEO and founder of AISOMA (a Frankfurt am Main (Germany) based company specializing in AI-based technology development and consulting) and Author of the book "Mindful A- Reflections on Artificial IntelligenceI" and "INSIDE ALAN TURING."

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The field of AI is highly interdisciplinary & evolutionary. The more AI penetrates our life and environment, the more comprehensive the points we have to consider and adapt. Technological developments are far ahead of ethical & philosophical interpretations; this fact is disturbing.
We need to close this gap as soon as possible.

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Content

PREFACE - x

THOUGHT & QUOTES - 1 ARTIFICIAL INTELLIGENCE - 1 AI ETHICS - 17 EXPLAINABLE AI (XAI) - 37 PHILOSOPHY - 43 DATA & BUSINESS - 47 EDUCATION & FUTURE OF WORK - 53 SOCIETY & HUMANITY - 61 MIX - 67
A BRIEF HISTORY OF ARTIFICIAL INTELLIGENCE - 73
THREE ESSAYS FOR THE FUNDAMENTAL UNDERSTANDING OF AI - 83 Artificial Intelligence: An attempt to define and distinguish - 83 5 Variations of Artificial Intelligence - 88 Duplication versus Simulation - 95
ARTICLES - 101 Why we need to Regulate the use of AI Technologies - 101 Do Companies need a Chief AI-Ethics Officer? - 104 Employment and Skills in the Age of AI - 109 The Criminal Potential of Artificial Intelligence - 114 How does machine learning work? - 131 Can AI have a consciousness? - 133 What is Singularity? - 135 5 Algorithms that Changed the World - 137
EPILOG - 141

SOME SIGNIFICANT ACHIEVEMENTS IN THE FIELD OF AI SINCE 2010. - 147
APPENDIX: GLOSSARY - 177 Artificial intelligence - 177 Artificial General Intelligence (Strong AI) - 178 Weak artificial intelligence (weak AI) - 178 The ethics of artificial intelligence - 179 The European ethics guidelines for trustworthy AI - 179 Algorithmic bias - 182 Machine Learning - 183 Deep Learning - 184 Supervised learning - 184 Unsupervised learning - 185 Semi-supervised learning - 185 Reinforcement learning- 186 Superintelligence - 186 Technological Singularity - 187 The Philosophy of Artificial Intelligence - 187 AI Control Problem - 189 The Turing Test - 190