I am designing a course on teaching
AI to mba students near delhi.
I need a textbook for the undergrad students.
Bibliography is ready for background reading from a telegram channel setup for the course.
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AI for managers
Reading list can be used for references but no plagiarism.
Must send publicly verifiable writing samples.
I will proof each chapter and send feedback for the next round.
Ms word with track changes.
Footnotes should be majority from the ai recommended reading list.
If you come up with new ideas and references not already covered, you will get acknowledged in the book.
If you exceed expectations, you will be given co author credit.
Don't worry if you don't understand ai.
I will answer your questions since I am supposed to be teaching the class!
So I look forward to the tough queries...
Please send your bid amount else your proposal will not be shortlisted.
Payments will be made after reviewing each chapter.
You must join the telegram channel and download the reading material to show you have understood the scope before submitting a bid else it comes across as not serious.
do not churn out the entire amount in a day and expect payment.
only do about 5k words and await my feedback before continuing to avoid redoing large amounts of work.
here is a draft introduction to the book in my writing style:
Artificial intelligence for non-technical readers
This broad field covers a host of varied areas like:
Automation, Robotics, Machine learning, neural networks, expert systems, and many more.
Let’s scratch the surface since each of the topics above needs its own book to be explained properly.
AI can be divided into two distinct categories – General and narrow.
All of AI is currently domain specific or narrow.
General AI is a theoretical construct which would span all the domains of human knowledge and thus does not yet exist due to hardware limitations like speed and storage. But in a few decades these limitations would fade away leaving the door open for the first general AI to emerge.
Experts predict a 50% likelihood of general AI by 2050 ; however a more realistic estimate of such a rise is likely to be 75% by 2075. This is more conservative than ZDNet which predicts the rise at 90% by 2075 in the same survey by AI experts. But then again this is not really quantifiable because these predictions are just guesses that can easily be way off the mark.
Instant translation, Handwriting and speech recognition is not possible without neural networks using vast amounts of training data sourced from multiple massive databases.
China is expecting their domestic AI market to reach $20 billion by 2020
PwC (PricewaterhouseCooper’s) expects global GDP to increase by $15 trillion by 2030 due to AI
We expect India’s GDP increase to be Rs. 40 trillion by 2040 due to AI alone.
Before we dive into the various areas of study within the field, let us take a step back to centuries old perspective on ‘machine intelligence’ as it was referred to previously.
“Nor will this appear at all strange to those who are acquainted with the variety of movements performed by the different automata ,
or moving machines fabricated by human industry, and that with help of but few pieces compared with the great multitude of bones, muscles, nerves, arteries, veins, and other parts that are found in the body of each animal. Such persons will look upon this body as a machine made by the hands of God, which is incomparably better arranged, and adequate to movements more admirable than is any machine of human invention. ..."
see the rest in the book proposal pdf which is attached in the files tab