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Here just for an easy example I understood the process myself allready

How do I do it if the kernel is a 2x3 matrix?

that is absolutely fascinating

Nice!

Cool. 👍

Hey , nice video .. i have a different question .. what's your keyboard ? it sounds amazing :)

Hi Is there a way to get views by many dimensions like (day, adType, video, channel, ageGroup, gender, country, province, city and so on)

fake i tried this all

Way the craziest intellectuo i ever met #nlp #multitasking

leetcode clone using django, python subprosser and docker

I also cant find repo on your git

You can find code from the video in commit b4e1df2ed84c87fdc65e18c2fd46b98a25ac94d1 in master on Jan 28, 2020 In latest commit to this date file digit_01.py missing setup of FONT, CYAN and canvas variables

Big thank you. Greatly implemented course.

Good thanks useful content

Hey can you please share the repo, I cant find it on your git

IS this open key free ?

Pendapatnya bang soal Polars vs Pandas?

Thanks. But the page margin is too narrow. How to increase the page margin?

What keyboard is that it sounds incredible

thanks 🌹

comp sci sigh

Please what VS Code theme are you using?

u explained gradeint descent as back propagation. but theres a diffence i m trying to figure out why need back propagation when gradient descent does the job - finind the minima. the most appropriate parameters w.r.t to cost function. what role does backprogation play in adjusting the paramters. whats the intuition

😅 the pens

thank you man

clean explanation. thx

Thanks bro

How can i get the code of this video

I've been searching how to do this... I couldn't find a solution until I stumbled across this video. Thank you :)

Hi, somehow after I'm applying the yearslider, the legend on the bottom (pop) can't fit the screen anymore at 1,200,000,000 (year 1995+). Is there something I can do about that? I have tried to change the font size (labelFontSize) but it's not working.

Thanks for this video! Quick question, Is there any risk of PII leakage in this implementation ? Asking this because we cannot see the model getting downloaded locally.

to turn off security for local dev xpack.security.enabled=false xpack.security.enrollment.enabled=false

i did the exact same thing but "workon web3" command didnt work in my vs and also it created block0 only with the contract address etc no block 1

Would you share the code of the last version of the streamlit app with more tools that you showcase on the video? the one on github seems to be the simple one. Thanks! was a great series!

Is it possible to plot charts on top of sql data ?

One question though… the “project_dir” variable - how did you add the forward slash and projectname variable without putting in quotes. Was expecting it to throw and error cause it’s like you’re dividing the path by projectname

Brilliant vid!

Samuel, thank you for the hint with threshold filter. When applied, it is much easier for OCR to see the digits with such font.

Hey how can we get tpoken usage with streaming = true

Hi, could this type of chatbot be integrated with Messenger and own website for customer support like interactions, based on own Q&A files and text?

Because SQLDatabase from langchain support only one schema.

Hi Samuel, do we have any method to connect multiple schema for database chatting?

very good video for starters 🙂

Thank You Sir

How to return SQLQuery just wanna get that :(( any idea ?

Excelente. A+1. Se puede conectar un base de datos de Foxpro + DuckDB con python

Why didnt u flip the kernel? Isnt it correlation? Even tho here its symmetric but students may misunderstand

crazy how none of these are relevant anymore; i get all sorts of errors after installing llama_index (newest version as of today) - i see many deprecations - PromptHelper and others; but this has been a nice lesson though, i'm subscribed now

Hey Sam, your series has helped me immensely. I am trying to build on the work here and add some sort of cacheing so I can continue to ask questions. Any tips you can offer to do this?

ImportError: cannot import name 'HuggingFace_Hub' from 'langchain' . how tf does it not exist anymore?