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AlienVault USM (from AT&T Cybersecurity)
Acunetix Vulnerability Scanner
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machine-learning in Python
Scikit-learn
BigML
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python-recsys
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Burp Suite
machine-learning in PythonNo machine-learning in Python videos yet. You could help us improve this page by suggesting one.
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The topics will be mostly from Portswigger Website. Also, for some more practical discussion, I'll refer to Kontra. - Source: dev.to / over 1 year ago
There are many tools available for this, e.g. Burp Suite, ZAP, etc. We've evaluated a few and found Probely to be the most comprehensive. They have a trial, so your first few scans will be free. After each scan, you will get a report that includes a list of all findings and a recommendation on how to fix them. You will also get a PCI-DSS and OWASP compliance report. - Source: dev.to / about 2 years ago
In addition, tools such as snyk or burp can be used to control the dependencies of a project. - Source: dev.to / about 2 years ago
Check https://portswigger.net, they have learning material and labs about this topic. Source: over 3 years ago
I ask about serving websites because understanding how a web server works (very basically) with a browser or any client is a huge step in understanding HTTP, host headers, and even host header attacks (if you're into that sort of thing.. As an aside I did a quick google search and https://portswigger.net/ showed up.. Apparently they have interactive labs and very informative documentation on various attack... Source: almost 4 years ago
After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 3 years ago
Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 3 years ago
MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally wonโt make you hireable unless youโre doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: over 4 years ago
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 4 years ago
Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 4 years ago
Nessus - Nessus Professional is a security platform designed for businesses who want to protect the security of themselves, their clients, and their customers.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Qualys - Qualys helps your business automate the full spectrum of auditing, compliance and protection of your IT systems and web applications.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Sqreen - Sqreen is a web application security monitoring and protection solution helping companies protect their apps and users from attacks. Get started in minutes.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.