| Machine learning with Python: The comprehensive guide to learn and improve Python programming for Machine learning. Artificial intelligence sections Contributor(s): Dimick, William (Author) |
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ISBN: 1914412249 ISBN-13: 9781914412240 Publisher: Phormictopus Ltd OUR PRICE: $26.96 Product Type: Paperback Published: March 2021 * Not available - Not in print at this time * |
| Additional Information |
| BISAC Categories: - Computers | Programming Languages - Python - Computers | Intelligence (ai) & Semantics |
| Physical Information: 0.31" H x 6" W x 9" (0.44 lbs) 144 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Do you want to find out how to use Python code to manage and improve Artificial intelligence and Deep learning? Are you looking for an easy training guide for programmers and data scientists? If yes, then keep reading... Artificial intelligence is a branch of computer science that seeks to develop computer systems that are capable of human-like intelligence. You can have artificial intelligence that replicates the human mind implemented this way rather than just having a computer system that mimics and the entire human brain. The latter is probably something very far off, if it is ever achieved. Artificially intelligent systems run independently. Computer systems based on artificial intelligence need to be trained, but once trained, they can operate on their own without human intervention. In the case of human intelligence, the more data you are exposed to, the better you get at solving problems related to that data. Similarly, computer systems based on artificial intelligence self-adjust to make themselves perform better. This is quite a contrast with conventional computer systems, which only do what you tell them to do, and without humans rewriting the programs that run them, they don't get any better at what they do. This is a crucial point to focus on, because the kinds of systems that we are going to talk about in this book will adjust themselves and get better, without any human intervention whatsoever. Once they are deployed, the human operators might not even understand why the artificially intelligent computer system makes the decisions it does, or how it is making those decisions.
This book covers: - Machine Learning - Concepts and Terms - Data Scrubbing - Data Mining Categories - Difference between Machine Learning and AI
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