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TRYEXCEPT
Ireland
Приєднався 28 січ 2024
Are you gearing up for your dream tech job? Whether you're aiming for FAANG or a fast-growing startup, we’re here to help you crush your technical interviews at TRYEXCEPT💻✨
On this channel, you'll find:
✅ Coding Tutorials - Master data structures, algorithms, and system design.
✅ Resume & Portfolio Advice - Stand out in a sea of applicants.
✅ Tech Industry Insights - Stay ahead with trends and insider knowledge.
Join our growing community of tech enthusiasts and land that dream job! Hit Subscribe and turn on notifications so you never miss out. 🎯
Let’s level up your career together. 💼✨
On this channel, you'll find:
✅ Coding Tutorials - Master data structures, algorithms, and system design.
✅ Resume & Portfolio Advice - Stand out in a sea of applicants.
✅ Tech Industry Insights - Stay ahead with trends and insider knowledge.
Join our growing community of tech enthusiasts and land that dream job! Hit Subscribe and turn on notifications so you never miss out. 🎯
Let’s level up your career together. 💼✨
Meta trained AI on pirated material ?
AI are taking our jobs ? Jensen Huang drops a bombshell at CES 2024 with Project Digits ! Meta is using pirated material to train its models and ChatGPT failed the New York Times puzzle.
It's last week in AI, where we break down what all this means for the future of AI development, along with other major stories from the AI world this week.
levels 2024 report:
www.levels.fyi/2024/?from=home
Trueup 2024 report:
www.trueup.io/job-trend
Meta using pirated data:
www.wired.com/story/new-documents-unredacted-meta-copyright-ai-lawsuit
ChatGPT defeated by connections puzzle:
mindmatters.ai/2025/01/large-language-models-llms-flunk-word-game-connections
NVIDIA announces mini super-computer:
www.cnbc.com/2025/01/09/nvidias-tiny-3000-computer-steals-the-show-at-ces-.html
#ai #code #machinelearning
It's last week in AI, where we break down what all this means for the future of AI development, along with other major stories from the AI world this week.
levels 2024 report:
www.levels.fyi/2024/?from=home
Trueup 2024 report:
www.trueup.io/job-trend
Meta using pirated data:
www.wired.com/story/new-documents-unredacted-meta-copyright-ai-lawsuit
ChatGPT defeated by connections puzzle:
mindmatters.ai/2025/01/large-language-models-llms-flunk-word-game-connections
NVIDIA announces mini super-computer:
www.cnbc.com/2025/01/09/nvidias-tiny-3000-computer-steals-the-show-at-ces-.html
#ai #code #machinelearning
Переглядів: 37
Відео
Movie Recommendations - ML System Design Interview
Переглядів 2 тис.14 днів тому
Netflix, Amazon, Huawei all use this systems design question for their AI/ML roles. In this video, we walk you through the system design interview process with a focus on creating a scalable and efficient movie recommendation system. Whether you're preparing for a tech interview at FAANG or any other top-tier company, this video covers everything you need to know. 🔍 What you'll learn: - How rec...
K-Nearest Neighbors - Simply Explained
Переглядів 15428 днів тому
Learn the K-Nearest Neighbors (KNN) algorithm in this easy-to-follow guide, perfect for acing your next machine learning interview! In this video, we break down the K-Nearest Neighbors (KNN) algorithm, one of the most popular supervised machine learning techniques. Understand how KNN works, its real-world applications, and key concepts like distance metrics, choosing the right value of 'k,' and...
Chess AI Tutorial: TensorFlow & FastAPI Ep. 4
Переглядів 6369 місяців тому
Hello welcome to TRYEXCEPT or Try Except ! This is a good ML mid-level project, it will also expect you to have some FastAPI and frontend skills. This is episode 4, please watch the previous episode here: ua-cam.com/video/pcpXjDRdMic/v-deo.html Today we are building the minimax algorithm which will leverage our Residual or Convolutional Neural Networks. The Follow Up Tutorial is here: - Availab...
Chess AI Tutorial: TensorFlow & FastAPI Ep. 3
Переглядів 19710 місяців тому
Hello welcome to TRYEXCEPT or Try Except ! This is a good ML mid-level project, it will also expect you to have some FastAPI and frontend skills. This is episode 3, please watch the previous episode here: ua-cam.com/video/pcpXjDRdMic/v-deo.html Today we are building the minimax algorithm which will leverage our Residual or Convolutional Neural Networks. The Follow Up Tutorial is here: - ua-cam....
Chess AI Tutorial: TensorFlow & FastAPI Ep. 2
Переглядів 26110 місяців тому
Hello welcome to TRYEXCEPT or Try Except ! This is a good ML mid-level project, it will also expect you to have some FastAPI and frontend skills. This is episode 2, please watch the previous episode here: ua-cam.com/video/dVTNwg-QpEQ/v-deo.html The ML model will be built using tensorflow, we will use a Convolutional Neural Network or Residual Neural Network. I will show you how to build both. T...
Chess AI Tutorial: TensorFlow & FastAPI Ep. 1
Переглядів 72510 місяців тому
Hello welcome to TRYEXCEPT or Try Except ! This is a good ML mid-level project, it will also expect you to have some FastAPI and frontend skills. The ML model will be built using tensorflow, we will use a Convolutional Neural Network or Residual Neural Network. I will show you how to build both. The Follow Up Tutorial is here: ua-cam.com/video/pcpXjDRdMic/v-deo.html Chess AI and Chess Engines a...
Leetcode - 13 Roman To Integer
Переглядів 4311 місяців тому
Hello welcome to Try Except. Leetcode Lethals is a series where I explore the hardest and the worst leetcode questions. This question was at one stage really highly disliked so it was one of the worst, but ever since the Leetcode redesign it seems that changed. It's actually crazy easy. So here is a basic tutorial I recorded before I realized it wasnt as bad as it used to be ! Check out my prev...
FastAPI Error Loading ASGI App
Переглядів 1,6 тис.11 місяців тому
Today we will fix the Error Loading ASGI App bug which happens in FastAPI. It is a quick fix and I will also show you how to run fastapi programmatically. This is bugfix bounty where I fix your bugs. Checkout my FastAPI Tutorials: ua-cam.com/video/RoP5DBPZHs0/v-deo.html
Machine Learning Project - Traffic Prediction AI
Переглядів 16911 місяців тому
Hello welcome to TRYEXCEPT or Try Except ! This is a good ML beginner project, but does require some Data Analytics and Python Skills. Today I will show you how to deploy a ml model to an API using FastAPI. The ML model is built using scikit-learn. If you want to see how to build a model and serialize/save it please see my previous video: ua-cam.com/video/1tCNRw9dyic/v-deo.html This project has...
Machine Learning Project - Traffic Prediction AI
Переглядів 60311 місяців тому
Hello welcome to TRYEXCEPT or Try Except ! This is a good ML beginner project, but does require some Data Analytics and Python Skills. Today I will show you how to build a traffic prediction machine learning and artificial intelligence model for the I-95 using Python: Scikit-Learn. We will then deploy this ml model to an API using FastAPI. You will need the dataset, jupyter notebooks and the de...
LeetCode - 521 Longest Uncommon Subsequence I
Переглядів 8911 місяців тому
Hello welcome to Try Except. Leetcode Lethals is a series where I explore the hardest and the worst leetcode questions. This episode we will look at one of the worst Leetcode questions, and why it has such a high dislike ratio of 91% ! This is Leetcode Question 521. Longest Uncommon Subsequence 1. Its actually really easy. Check out my previous video BugFix Bounty: ua-cam.com/video/ewxd4F8hMtE/...
Bugfix - FastAPI HTTPS Mixed Content Error
Переглядів 18711 місяців тому
Today we will fix the Mixed Content Error caused by the URL_FOR function when using FastAPI, Jinja2 and Starlette. This error occurs when some elements of the web application are delivered on http and others over https. This is bugfix bounty where I fix your bugs. Checkout my FastAPI Tutorials: ua-cam.com/video/EY5Ii1GyRMc/v-deo.html&ab_channel=TRYEXCEPT Come back later for submission url.
FastAPI Tutorial - Structuring Your Applications
Переглядів 3,6 тис.11 місяців тому
Hello welcome to Try Except. Today I will show you how to structure your FastAPI application using best practices and routers. This application leverages Postgres for CRUD (Read-Only) operations. This is a tutorial/guide which you can implement in your own project. Please Visit the previous video if you wish to build this exact project: ua-cam.com/video/EY5Ii1GyRMc/v-deo.html This tutorial is f...
FastAPI Tutorial - Getting Started Made Easy
Переглядів 38911 місяців тому
Hello welcome to Try Except. Today I will show you how to create an application with FastAPI and Postgres using SQLALCHEMY. This will be a basic single page application which reads data from a Postgres database using sqlalchemy. We will also leverage other technologies such as pydantic. Please see the next video here: ua-cam.com/video/D-JD4tM0NvU/v-deo.html This tutorial is for beginners to eit...
Zucherberg been making big moves recently, specifically that rogan podcast
5:42 for the model, you could also just use a basic factorization model.
Great video, I'd just like to add that is a supervised learning algorithm
Excellent!
Hey, some tips here. Use folder for versioning, for example /v1 , /v2, /v3 this way if you need to change something it is easier in the future. Also, create a folder named “modules” where you hold things like db connectors etc
Can you provide links for code and dataset
Next part when????
Ah shoot ok I'll add it to my list of things to do. Most of my effort is spend on my other channel. The next step is to use chess.js. You can actually do it with a basic React front end - if you're willing to try yourself. You already have the API and the difficult bit established.
NICE VIDEO
Good but is to small, it´s difficult to read
Thanks I'll zoom in for the next video !
Very helpful, thank you!
I love this series!
Hi Thanks, I had to rush this episode and I think you could see that :( The final step is to build the interface for it, you can get started without me by using chess.js or other libraries ! Ill try have the video out soon :)
Hello everyone. I am delayed, I am very sorry ! I have completed the code for the next section and will record the video soon and post it.
Excellent video, the talking along made it easy to understand and fun to follow! I am curious what you'll all put out in the future
great video . I wish you could explain the deep learning part more in depth and how we can build a more sophisticated one ourselves (more layers and stuf) . thanks for the great video
Ok I will revisit this in the conclusion :) I'll do a section explaining questions from commenters !
Looking forward to the next video, I'm learning a lot :)
Thanks ! Im sorry I'm a little delayed, I'll get it out ASAP. Latest will be Friday/Saturday !
Thanks for your efforts, the content is interesting, but would be good with more explanation and also an outline of what the final product would look like and how many videos to expect etc. Its not too late to add on and edit your first two episodes 😃😄
Hey ! Thanks for the advice. Yea, this is totally right. Next video will be out Friday and I'll include this advice in that. Thanks ! If you have any other questions, let me know :) I expect there to be another 3 videos. We have to create the minimax algorithm, then the fastapi application and finally a frontend. This project is based off of my own project from a few years ago, but im updating it to work with more recent technologies, as each video comes up.
It would be nice if you explain the some of the code while writing it out instead of just spelling it out
Ah thanks for the feedback, I'll do that for the next episode. It's a good point :) Because I cant change the video now, if you have any questions about the code let me know and ill answer ! Next episode will be released in a weeks time.
Part 2 Will be released on: 20/03/24 . Just trying to give myself some time to do it well !
Yesterday had conversation with my friend about writing chess engine. And I got this channel in my feed, lol
Haha, the algorithm knows I guess ! Ill be releasing part two this coming week. Then another two parts the following week. Its the fastest I can move ! Anyway hope the tutorial helps and if you have any questions let me know !
Hi guys so I actually wrote the video, during recording I realized it had actually been fixed from when I last tried. So I guess this is just a tutorial now ! It's not actually a confusing question anymore. Since the change of the LC layout the likes/dislikes can be misleading. At one stage this had 3K dislikes and 1.5K likes.
Accidentally wrote port 500 and not 5000 ! It doesn't really matter which one but commonly 5000 and 8080 are used for applications.
Very Helpful