Defensive Security event.
Proposed sessions for this event:
- Machine Learning For InfoSec by Aniket Sangohi
NOTE: it's two-day bachaav
Dates: 27th and 28th July 2019
Timings: 10 am to 6 pm (Each Day)
Please register only if it is feasible to attend both the days, else give the chance to someone who can.
Event will souly be hands-on and hence, before a week the speaker will mail you installation guide and some material, so everyone are have to come with prepared setup.
-Python basic of machine learning libraries
-What is Machine Learning? Differences between Machine learning/Deep Learning/Neural Networks/AI
-Types of ML: Supervised, unsupervised
-What are the features? Getting an idea for Feature Extraction.
-Locally Weighted regression
-Naïve Bayes hands-on Digit Recognizing with MNIS
images(Dog and Cat)
-Neural Network, Types of NN, The Perceptron
Writing first NN using Python
-Machine Learning for Email and SMS Spam detection.
-Machine Learning for Malware Analysis
-Machine Learning for Credit card fraud detection.
-Machine Learning for phishing detection.
Prerequisites for the Bachaav session:
-A good understanding of python
-Basic fundamentals of Linear Algebra and Probability Statistics.
|Date||Saturday July 27 2019|
|Event Type||Invite Only|
|Start Time||10:00 AM|
|End Time||06:00 PM|
|Name||Speaker||Start Time||End Time||Resources|
|Machine Learning For InfoSec||Aniket Sangohi||10:00 AM||06:00 PM|