This was a super informative video... Thank you so for such useful content Please do come up with such contents more where you merge cybersecurity with machine learning
Hey Man, you have a great channel and quality content don't give up it will work. Probably an intelligent person like you is busy with other activities.
Machine Learning (ML) is a branch of AI that enables systems to learn from data and improve their performance over time without explicit programming. It involves training models using algorithms to recognize patterns and make predictions based on data inputs. Essentially, ML combines AI techniques, data models, and algorithms to create systems that can adapt and make intelligent decisions.
So does this mean that we've been misusing the term "algorithm" this entire time in common parlance? For example, when we refer to the "RUclips algorithm" that refines video recommendations, do we really mean to say the "RUclips recommendations model" since it's really the model that's running and refining itself? Just trying to wrap my head around the difference.
Excellent breakdown, thank you so much!
Many thanks CISO
You're very welcome! Thanks for following
Great content, keep it up!
best explanation ever! . thanks.
This was a super informative video... Thank you so for such useful content
Please do come up with such contents more where you merge cybersecurity with machine learning
Hey Man, you have a great channel and quality content don't give up it will work. Probably an intelligent person like you is busy with other activities.
Love the video! 💖
Great video, liked subbed and saved in playlist
Thank you for making this video. I found it very helpful❤
Yep subbed. Very well presented and explained. Especially enjoyed the OSINT videos.
Excellent
what a great explanation Many thanks to you >
Nice Explanation, thank you, got confused between (Recommendation and Regression algorithms), as both using past data.
excellent content
Well done
To the point, thank you.
I would pay for a color printout of this excellent presentation for my own personal reference. Well done.
that is great. I like it!!)
Machine Learning (ML) is a branch of AI that enables systems to learn from data and improve their performance over time without explicit programming. It involves training models using algorithms to recognize patterns and make predictions based on data inputs. Essentially, ML combines AI techniques, data models, and algorithms to create systems that can adapt and make intelligent decisions.
So does this mean that we've been misusing the term "algorithm" this entire time in common parlance? For example, when we refer to the "RUclips algorithm" that refines video recommendations, do we really mean to say the "RUclips recommendations model" since it's really the model that's running and refining itself? Just trying to wrap my head around the difference.
Regression analysis used in unsupervised machine learning ???
finished watching
have you changed channels? or platforms? no new content :(