The document discusses machine learning, including what it is, some of its applications, and its limitations. It defines machine learning as a machine's ability to learn without being explicitly programmed, and notes that it allows machines to mimic the human ability to learn. Some applications mentioned include Netflix recommendations and Google Translate. However, the document also notes that while machine learning can detect patterns in data, it cannot mathematically pin down patterns or go beyond what the available data allows.

1. Machine Learning Limits
(What can machine learning do
and what it can’t)
Moataz Mahmoud Ahmed
Junior QC developer at xWare

2. Agenda
• What’s machine learning?
• Why machine learning is cutting edge?
• Some machine learning applications.
• The essence of machine learning.
• What can machine learning do?
• What can’t machine learning do?
• References.

3. What’s Machine Learning?
• It’s machine ability to learn without being explicitly programmed.
• First of all, machine learning is a subfield of Artificial Intelligence.
• The goal of artificial intelligence is to create machines that mimics
human mind.
• One of the most powerful features of human mind is learning.
• So to mimic human brain, our machine must be able to learn.

4. Some machine learning applications
It’s your turn again!
- Netflix competition.
- Google translate.

6. Why machine learning is cutting
edge? And some applications.
• Electronic circuits function about a million times faster than
biochemical ones.
• So this machine should think about a million times faster than the
minds that built it.
• So you set it running for a week, and it will perform 20,000 years of
human-level intellectual work.
• Now let’s name some application …

7. The essence of machine learning.
• A pattern exists.
• We cannot pin it down mathematically.
• We have data on it.

8. What can machine learning do?
• A pattern exists.
• We cannot pin it down mathematically.
• We have data on it.

9. What can machine learning do?
• A pattern exists.
• We cannot pin it down mathematically.
• We have data on it.

10. What can’t machine learning do?
• A pattern exists.
• We cannot pin it down mathematically.
• We have data on it.

11. Some references
• Google Tensor Flow: https://www.tensorflow.org/
• Google Developers Machine Learning Recipes:
https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQ
U_jL2ryal
• Machine Learning is fun series (@Medium):
https://medium.com/@ageitgey/machine-learning-is-fun-
80ea3ec3c471
• Scikit-learn Machine Learning in Python tutorials: http://scikit-
learn.org/stable/

12. BIG
THANKS 