...for a programmer, it's like I'm watching some really good porn... and just can't stop! Nice presentation and I couldn't help but laugh: "Excalibur... " *thinking hmmm thats not right* "silver bullet!" *okay I am done* "Analogies.. so anyway..." *thinking FFS* "Metaphors?" "WHATEVER!" Thanks for sharing the video!
Good day all, i am a post graduate student working on "Detecting and preventing SQL injection attack on a database using machine learning approach". My Major challenge right now is generating the dataset and how to write the appropriate code in Python, i will be highly grateful if any one can help me out in generating the python code to do that, thanks alot.
Why, so you could copy/paste instead of actually learning what ML is and how to do it? I guarantee that if you know python that enough information was given for you to put together the code yourself. The amount of code needed for this is not insignificant (check the lengths of ML libraries sometime) but the entire process can be communicated in a much condensed version for anyone with experience in programming. Don't be lazy, you'll thank him later when you need to code a new variation.
ML in Python... I was anticipating some actual code, but instead only a generic overview in much less details than i already found in TH-cam. Formulas and pseudo-code would be far more helpful. Source code in Python would be much better though, yet, no single code... what a disappointment :-( the talk was great, but I was hoping for source code...
Most informative for a newbie to machine learning.
Awesome talk. Really good real world usage of machine learning. Im psyched to start learning this stuff
...for a programmer, it's like I'm watching some really good porn... and just can't stop!
Nice presentation and I couldn't help but laugh:
"Excalibur... " *thinking hmmm thats not right* "silver bullet!" *okay I am done*
"Analogies.. so anyway..."
*thinking FFS*
"Metaphors?"
"WHATEVER!"
Thanks for sharing the video!
Thanks for the walkthrough. Note: in my tests persisting dictionaries as JSON is much faster than shelve(pickling) dicts.
Machine learning can be implelemented using Python.
Thanks fro the talk!
LOL, the questions those guys posed in the end ...
Good day all, i am a post graduate student working on "Detecting and preventing SQL injection attack on a database using machine learning approach". My Major challenge right now is generating the dataset and how to write the appropriate code in Python, i will be highly grateful if any one can help me out in generating the python code to do that, thanks alot.
"Don't blindly apply ML."
Learn whats going on. Once you understand what is going on, the python will be simple.
Why, so you could copy/paste instead of actually learning what ML is and how to do it?
I guarantee that if you know python that enough information was given for you to put together the code yourself. The amount of code needed for this is not insignificant (check the lengths of ML libraries sometime) but the entire process can be communicated in a much condensed version for anyone with experience in programming. Don't be lazy, you'll thank him later when you need to code a new variation.
ML in Python... I was anticipating some actual code, but instead only a generic overview in much less details than i already found in TH-cam. Formulas and pseudo-code would be far more helpful. Source code in Python would be much better though, yet, no single code... what a disappointment :-( the talk was great, but I was hoping for source code...
he has given the link for GitHub dude..check it out