Welcome to the official DeepLearning.AI RU-vid channel! Here you can find the videos from our Coursera programs on machine learning as well as recorded events.
DeepLearning.AI was founded in 2017 by machine learning and education pioneer Andrew Ng to fill a need for world-class AI education.
DeepLearning.AI has created high-quality AI programs on Coursera that have gained an extensive global following. By providing a platform for education and fostering a tight-knit community, DeepLearning.AI has become the pathway for anyone looking to build an AI career.
The whole discussion around "bias-variance trade-off" was invented by some statisticians who were baffled when trying to fit (classic) machine learning model training/testing into the old statistical paradigm. And then, some interviewer still found it really effective in baffling (and disqualifying) some candidates applying for ML/Data scientist jobs and further popularized / abused the concept. The whole issue can be readily explained and addressed in a direct way without bringing in these two out-of-place and thus confusing terms. Thank Andrew for bringing clarity into this.
Before we came along, the world experienced periods with much higher levels of carbon in the atmosphere than we have now, and yet plants thrived, and life in general flourished. You are certainly not unintelligent, so you must have sold out and become a propagandist in exchange for... what? It's hard to respect a scientist who publicly pushes a carbon-based climate hoax.
I am your sister from Yemen, and by Allah I only spoke out of hunger and distress. My mother, my brothers, and I lessons and tears. We are in a situation that only God knows about. God is sufficient for us, and He is the best disposer of affairs for those who brought us to this situation. By Allah Almighty, I did not write this appeal out of distress and distress. Poverty, O world, they have felt it So, I hope for you. By Allah Almighty, Lord of the Great Throne, he ate what I had in the house. By Allah, my brothers, he is my brothers by sitting in the house. Who has no food? By God, we are in a very difficult situation. We have 6 people entering the house, and my father has died, and there is no one who can depend on us and who lives in it.We live in a rented house because we cannot pay the rent we owe. '''''''''''''''''''''''''''''''''''''''''' ''''''''''''''''''''''''''''''''''''''''''''''''' ''''''''''''''''''''''''''''''''''''''''''''''''' ''''''''''''' My brother, my first words are: I swear to God that I will not lie to you or deceive you. I am a Yemeni girl displaced from the war. My family and I live in a rented house in Al-Shahrab 15,000 Yemenis among us, and now we owe 45,000 for 3 months. The owner of the house is one of the people who does not have mercy, by God, my brother. He comes every day, insulting us, talking about us, and moving from the house to the street because we were unable to pay him the rent. The neighbors saw us crying and came back.They came back to talk to the neighbors and we were given the weekend. So we made him swear by God. He will take us out into the street. Have mercy on him and us. Our country is due to this war and we do not find food for our day, and my brothers and I live in a difficult life. Our father died, may God have mercy on him, and we have no one in this world who was with us in these harsh circumstances. My younger brothers went out into the street and saw...The neighbors eat and stand at their door in order to give them bread even if they break it. By God, to whom belongs the dominion of the heavens and the earth, they closed the door and expelled them and came back crying. They are dying of hunger. No one has mercy on them and a holiday is returned. I have made a living, and now if one of us helps us with a kilo of flour, I swear to God, I am dying of hunger. My brother, I am an alien to God. Then, I ask you to help me for the sake of God. I ask you, by God, to love goodness and to help me, even if you can, by messaging me on WhatsApp.On this number 00967736246190 and ask for the name of my card and send it and do not be late and may God reward you with all the best, my brothers Sagar, see how they are and help us and save us before they throw us out in the street, you will be lost or we will die of hunger. My family and I ask you, by God, if you are able to help us, do not be late and may God reward you well..`/--~«««~-♡~♡~♡~~•~•~♡~♡~♡~♡~♡~♡♡؟?♡~~~: ~:~.~¡~~¡~¡~.~;I.i.i.i.i.i. i.I.|-.&__...،،.....،.،،،،،...،،..،،،،،،،،;"🎉😮🎉😮🎉
Now that I have taken an AI course in my university, I can finally fully appreciate this series of videos. I mean, it was quite hard during the first time, but it finds like perfect now!
My dream become ai ml enginner i am not giveup try my best for contribuate in ai Love from india i am biggner in that field that day i am learning python
By YouSum Live 00:00:31 Introduction to workshop on llm agents 00:01:01 Utilizing cutting-edge tools like L index and true lens 00:01:16 Importance of gaining insights into llm agent building 00:05:00 Significance of interleaving reasoning and actions in llm apps 00:08:56 Limitations in llm agents: failures, infinite loops, hallucinations 00:10:09 Evolution from rag to agents for dynamic query handling 00:10:23 Data agents' role in automating knowledge with search and synthesis 00:15:25 Core components of agents: reasoning loop and tools 00:17:24 Llama index's architecture for advanced reasoning with query engines 00:19:33 Example of agent using query tools for Uber and Lyft comparison 00:21:00 Strategies for handling large tool responses 00:21:11 On-demand loader and load/search tool for data indexing 00:21:42 Mitigating overflow by indexing data beforehand 00:21:48 Agents struggling with tool overload 00:22:00 Indexing tools and metadata for efficient query handling 00:29:19 Importance of context relevance, groundedness, and answer relevance 00:29:25 Evaluating llm agents using the rag Triad and agent quad 00:42:03 Building agents over external APIs like Yelp 00:42:20 Utilizing tool specs for agent interactions 00:43:58 Implementing efficient data retrieval for agents 00:44:06 Utilizing convenient abstractions for data indexing 00:44:18 Incorporating top-k search for relevant results 00:44:45 Setting up agent with Yelp tool specifications 00:46:18 Establishing feedback functions for evaluation 00:47:12 Evaluating similarity between user and agent queries 00:49:08 Setting up ground truth for baseline evaluations 00:49:33 Monitoring and analyzing performance metrics 01:00:02 Applying MLOps principles to enhance LM and GPTs By YouSum Live
Ok, but what I am looking at the end of it? (1) The weights (W) that transform the image matrix (Ii) in a vector (such as f(a)) --> Ii * W = F(Ii) = vector with n dimensions? (2) Such parameters (W) should be constant for any image?
Sir, thanks for the lesson but the voice is way too low. Can you please speak louder or somehow improve the voice quality in future videos. I have to read captions all the time because I cannot hear.🙏
Sir, thanks for the lesson but the voice is way too low. Can you please speak louder or somehow improve the voice quality in future videos. I have to read captions all the time because I cannot hear.🙏
Hello there, I'd like to jump into Tech Industry. I want to become Software Engineer and I think these AI course can help me alot. I have dropped an email twice to your team but never heard back from them. Is there any other way to reach you guys out? Any sort of help would be appreciated. Thanks
bro no offence but what do u want them to do about u becoming a software engineer. If you want a roadmap there are plenty on yt and yes its very hard at first.
Is there a custom GPT to edit out the obnoxious self-flattery to access the 10 minutes of useful content? "Pants" was a horrible metaphor and her inability to even understand the question at the end about linguistic clarity shows you how terrible she is with language in the first place.
I´m doing the course right now, it´s exactly the right speed, level of knowledge and I love the interactive panel beside the video content. Well done and thanks for creating the course, it will be useful to my work!
It would have been nice to see it work with real python code and real data. What instructors don’t understand is they all use different symbols and terminology. I also don’t like their scribbling. I have data I use to test. There are 5 different parameters. The ‘terrain is more like the grand canyon and not a bowl so the path is extremely narrow. Adagrad works best so far. I will try ADAM.
