Textbook in PDF format

This book explores, from a high level, the parallels between the evolution of humans and the evolution of machines. The book reviews practical questions about the future of AI but also engages in philosophical discussions about what machine intelligence could mean for the human experience.
The book focuses on what is intelligence and what separates intelligent species from non-so-intelligent ones. It concludes this section with the description of true nature of human intelligence can be. We discuss how we looked at machines few hundred years back and how their definition and the expectations from them has changed over time. We will consider when and how machines became intelligent and then explore in depth he latest developments in Artificial Intelligence with explanation of Deep Learning technology and humanlike chat interface provided with products like ChatGPT. We will define both human intelligence and Artificial Intelligence and the distinction between the two.
In the third and final section of the book, we will focus on near- and longer-term futures with widespread use of machine intelligence, making the whole ambient environment that we will live in intelligent How is this going to change human lives, and what parts of human life will be encroached with machines and their intelligence? We will explore how the job market will look with some jobs being taken by machines, and if this is overall a positive or negative change.
The Machine Learning techniques, also called algorithms, are sequences of mathematical operations that first operate on the labeled training data to learn patterns of relations between input and output/label and then operate on the test data to predict the outputs. In most real-life situations though, the relation is not linear and as such linear regression algorithm can be quite erroneous, but it helps understand the process of learning. One of the oldest and yet one of the most widely used techniques in Machine Learning is called decision trees. Another Machine Learning model that was invented early on but did not find sufficient success due to its complexity, was called artificial neural network (ANN) or just neural network (NN). This technique of Machine Learning stems from the way the human brain works, as the name suggests.
What You Will Learn:
How human intelligence is connected with Artificial Intelligence as well as the differences
How AI is going to change our lives in the coming years, decades and centuries
An explanation of Deep Learning technology and humanlike chat interface provided with products like ChatGPT
Who This Book is For:
Readers looking to contextualize the evolution of Artificial Intelligence in human history