Artificial Intelligence and Machine Learning
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AI Superpowers and Human + Machine a Visionary Revolution in Finance, Medicine and Business. Find out Top Influent People of the Era with a Modern Approach
Table of Content
Introduction
Chapter 1: Understanding Artificial Intelligence
Defining Artificial Intelligence and Machine Learning
History of AI and Machine Learning
The Goals of AI
Knowledge Representation and Reasoning
Automated Planning and Scheduling
Natural Language Processing
Computer Vision
Robotics
Artificial General Intelligence
The Goals of Machine Learning
The Relationship Between AI and Machine Learning
Chapter 2: Artificial Intelligence Vs. Human Intelligence
Understanding Automation Potential
Partnership Between Machines and Humans
Future Partnerships
People as Digital Conductors
Rethinking Business
Learning On-The-Go
Human Assisting Machines
Machine Decision-Making
Fundamental Differences Between Human and Artificial Machine Thinking to a Human Problem
Chapter 3: The Technology Behind Human Machine Interface
Definition of Human Machine Interface (HMI)
Uses of Human-Machine Interface
Types Of Human-Machine Interface
Human Machine Interface Applications
Smart Automation Influence In Lifestyle And Relationship
Hardware And Software
Chapter 4: Artificial Intelligence Key Leading Players and Promising Startups
Artificial Intelligence Startup Companies Building Your Smarter Tomorrow
Ways to Invest in Artificial Intelligence
The Top Artificial Intelligence Stocks for Investment
How to Create an AI Start-up
Global Human Machine Industry (HMI)
Future Technological Advances You Can Look Out For
Chapter 5: 10 Most Influential People And Their Contribution In AI Development
Part 1: Company Titans (Superpowers)
Contributions
Looking Back at the Past
Real-time Revolution
How Are Businesses Coping Up?
Impact of AI on Companies
Automation Anxiety
A View Of The Future
Physical-World
Digital World
Power of Thinking
Chapter 6: AI Applications: The Impact of AI in Finance, Medicine, and Business
AI in Business
Artificial Intelligence Impact on Business
AI Opportunities for Business
Risks and Limitations of AI in Business
AI Ethical Issues
AI In Finance
In-App Banking
AI In Medicine
Research
Training
Conclusion
Copyright 2019 by Jeff Mc Frockman.
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To all startups, students and people that wants to stay connected and updated.
Introduction
Congratulations on purchasing ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: AI Superpowers and Human + Machine A Visionary Revolution in Finance, Medicine and Business. Find Out the 10 Most Influent People of the Era With A Modern Approach , and thank you for doing so. With the rising world of big data, we are forced to develop effective strategies to help us make informed decisions. All professional fields have become extremely complex due to the growing demand to find the most efficient ways to extract value from the existing data. By downloading this book, you have taken the first step towards learning how to use big data, and how artificial intelligence has made it possible to cope with the naturally outgrowing big data movement. The information that you find in the following chapters is important, as it will help you to learn how artificial intelligence is influencing human behavior and its possible impact in the future.
To that end, this book provides an in-depth overview of artificial intelligence and machine learning, highlighting their historical development and application in various fields including, finance, business, and medicine. It covers how artificial intelligence interacts with human intelligence, including the possible partnerships between humans and machines and how each influences the other. People can utilize so much from artificial intelligence and machine learning to improve their lives and enhance their productivity. An interesting concept covered in this book is the AI superpowers across the world, and how they impact the development of AI today and possibly in the future. These include Amit Singhal of Uber, Andrew Ng of Baidu, Elon Musk of SpaceX, and Tesla, among others.
Although there as several options of Artificial Intelligence and Machine Learning books on the market, I am grateful that you considered this one! Please enjoy reading!
Chapter 1: Understanding Artificial Intelligence
By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.
Eliezer Yudkowsky
It might not be possible to identify what part of modern society has not been affected or influenced by artificial intelligence (AI). Intelligence machines are influencing almost every facet of our lives, including business operations and our daily activities, with the aim of improving efficiencies. AI is so intertwined into everything we do that it is hard to imagine living without it .
AI is the major influencer of the 4th Industrial Revolution disruptive changes; the changes that will probably challenge human ideas. It is transforming the way we interact and live in an accelerating manner, making our cities become smarter and helping us to manage our lives.
Despite the popularity of AI and machine learning, the purpose, and details of the two concepts are not well understood. In this chapter, we are going to discuss the key concepts of artificial intelligence and machine learning.
Defining Artificial Intelligence and Machine Learning
As commonly defined, artificial intelligence is the ability of machines to make decisions and learn in a similar manner as humans. It is commonly known as a branch of computer science that deals with the simulation of behaviors of computer intelligence. Commonly abbreviated as AI, artificial intelligence refers to a computer system that can complete tasks that normally require the intelligence of humans, including recognition of speech, visual perception, decision-making, and language translations. This technology has influenced several consumer products and has promoted breakthroughs in physics and healthcare .
Machine learning is a sub-branch of artificial intelligence, i.e., all machine learning are components of AI, but not all AI count as the latter. It refers to the component of computer science whose aim is to build and leverage existing algorithms in order to establish generalized models that offer patterns and accurate predictions. Such algorithms are usually based on mathematical and statistical optimization. Suppose that your goal is to identify the patterns of a phenomenon using historical data; you may use machine learning algorithms to group the data and analyze the cluster results. With a bit of analysis, machine learning helps in the generation of automatic clusters or categories over time.