- Видео 128
- Просмотров 54 620
Manoel Fernando Alonso Gadi
Испания
Добавлен 30 янв 2014
porque nao usar chatgpt para revisão bibliografica
O vídeo "porque nao usar chatgpt para revisão bibliografica" do professor Manoel Gadi discute os problemas de usar o Gemini/ChatGPT para fazer uma revisão bibliográfica. O professor explica que o Gemini/ChatGPT não entende bem os números e as datas, por isso pode ignorar artigos importantes. Além disso, o Gemini/ChatGPT está treinado com dados antigos, por isso pode não incluir as publicações mais recentes.
O professor recomenda usar o Google Scholar para encontrar artigos relevantes e depois usar o ChatGPT para extrair informações das imagens dos artigos. Desta forma, é possível garantir que a revisão bibliográfica inclua os artigos mais recentes e relevantes.
O professor recomenda usar o Google Scholar para encontrar artigos relevantes e depois usar o ChatGPT para extrair informações das imagens dos artigos. Desta forma, é possível garantir que a revisão bibliográfica inclua os artigos mais recentes e relevantes.
Просмотров: 3
Видео
why not to use chatgpt for bibliography revision
Просмотров 1Час назад
This video is about the limitations of using Gemini/ChatGPT for academic research, specifically for conducting literature reviews. The author, Professor Manoel Gadi, highlights several issues: 1. Inaccurate Date and Number Processing: ChatGPT struggles to accurately process dates and numbers, leading to the inclusion of irrelevant or outdated papers in the literature review. 2. Limited Access t...
Te van a pillar si usas chatGPT o Gemini para tus buscas bibliograficas (Español)
Просмотров 42 часа назад
El vídeo trata sobre los problemas de usar chatGPT para hacer una revisión bibliográfica. Manoel Gadi, explica que los modelos de lenguaje como chatGPT no entienden bien los números y las fechas, por lo que pueden ignorar artículos importantes. Además, estos modelos están entrenados con datos antiguos, por lo que pueden no incluir las publicaciones más recientes. Gadi recomienda usar Google Sch...
Data Analysis Using Python - Exercise Session 2 - part 3
Просмотров 1017 часов назад
This video is part of a series of Python Exercises. This video is about data analysis using Python. The video covers three exercises: 1. Joining two data frames along rows: The first exercise demonstrates how to combine two data frames vertically, stacking one on top of the other. This is achieved using the `pd.concat()` function. 2. Joining two data frames along columns: The second exercise sh...
Data Analysis Using Python - Exercise Session 4 - full
Просмотров 1819 часов назад
This video is part of a series of Python Exercises. This video is about data analysis using Python. It covers a variety of topics, including: * Data frames: How to create, manipulate, and merge data frames. * Missing values: How to handle missing values in data frames. * Time series data: How to work with time series data. * Interpolation: How to interpolate missing values in time series data. ...
Data Analysis Using Python - Exercise Session 3 - part 4
Просмотров 1519 часов назад
This video is part of a series of Python Exercises. This video is about data analysis using Python. In particular, it focuses on data cleaning and manipulation techniques. The video demonstrates how to handle missing values, convert data types, and filter data based on specific conditions. Additionally, it covers the creation of data frames from lists and dictionaries. Github Repo: github.com/m...
Data Analysis Using Python - Exercise Session 3 - part 4
Просмотров 820 часов назад
This video is part of a series of Python Exercises. Github Repo: github.com/manoelgadi/CraridenGlobal_CDAMP/tree/main/CDAMP_exercises
Data Analysis Using Python - Exercise Session 3 - part 3
Просмотров 420 часов назад
This video is part of a series of Python Exercises. This video is about data analysis using Python. In particular, it focuses on data cleaning and manipulation techniques. The video demonstrates how to handle missing values, convert data types, and filter data based on specific conditions. Additionally, it covers the creation of data frames from lists and dictionaries. Github Repo: github.com/m...
Data Analysis Using Python - Exercise Session 3 - part 1
Просмотров 1320 часов назад
This video is part of a series of Python Exercises. In particular, it focuses on how to use Python to calculate summary statistics for numeric variables and to find the frequency of labels in a data frame. The video starts by showing how to use the `describe` function in Python to calculate summary statistics for numeric variables. This function calculates the count, mean, standard deviation, m...
Data Analysis Using Python - Exercise Session 3 - part 2
Просмотров 820 часов назад
This video is part of a series of Python Exercises. In particular, it focuses on how to use Python to calculate summary statistics for numeric variables and to find the frequency of labels in a data frame. The video starts by showing how to use the `describe` function in Python to calculate summary statistics for numeric variables. This function calculates the count, mean, standard deviation, m...
Data Analysis Using Python - Exercise Session 2 - part 2
Просмотров 1321 час назад
This video is part of a series of Python Exercises. In particular, it focuses on how to use Python to calculate summary statistics for numeric variables and to find the frequency of labels in a data frame. The video starts by showing how to use the `describe` function in Python to calculate summary statistics for numeric variables. This function calculates the count, mean, standard deviation, m...
Data Analysis Using Python - Exercise Session 2 - part 1
Просмотров 4321 час назад
This video is part of a series of Python Exercises. This video is about data analysis using Python. The video covers how to import Python libraries, read different file formats (Excel, SAS, SQL, JSON, HTML), and perform basic data analysis tasks such as calculating summary statistics and finding the frequency of labels in a column. Github Repo: github.com/manoelgadi/CraridenGlobal_CDAMP/tree/ma...
Data Analysis Using Python - Exercise Session 1
Просмотров 1622 часа назад
This video is about how to use Anaconda to manage Python environments and install libraries. The video covers the following topics: * How to open Anaconda Navigator * How to upgrade Anaconda Python * How to open Anaconda Prompt * How to check the installed libraries in an environment * How to create a new environment * How to install libraries in an environment * How to create a requirements.tx...
Data Analysis Using Python - Main Session 4 - Python for Data Manipulation, merge and concatenations
Просмотров 2022 часа назад
github repo: github.com/manoelgadi/CraridenGlobal_CDAMP This video is about data manipulation in Python using the Pandas library. It covers the following topics: * Concatenation: How to combine DataFrames by appending rows or columns. * Merging: How to join DataFrames based on common columns or indexes. * Joining: How to join DataFrames based on indexes. The video provides practical examples an...
Data Analysis Using Python - Main Session 3 - The Making of Pandas Dataframe
Просмотров 3522 часа назад
Data Analysis Using Python - Main Session 3 - The Making of Pandas Dataframe
Data Analysis Using Python - Main Session 2 - Exploratory Data Analysis
Просмотров 3622 часа назад
Data Analysis Using Python - Main Session 2 - Exploratory Data Analysis
Data Analysis Using Python - Main Session 1 - Meeting Python in Anaconda, Pythotutor, Colab and more
Просмотров 3322 часа назад
Data Analysis Using Python - Main Session 1 - Meeting Python in Anaconda, Pythotutor, Colab and more
Data Analysis Using Python - Introduction
Просмотров 1623 часа назад
Data Analysis Using Python - Introduction
TFM - Explicación de como hacer un Trabajo Final
Просмотров 8123 часа назад
TFM - Explicación de como hacer un Trabajo Final
Computational Thinking (student Geshan Colombatantri)
Просмотров 1352 часа назад
Computational Thinking (student Geshan Colombatantri)
The Divergence statistic in Credit Scoring
Просмотров 1967 часов назад
The Divergence statistic in Credit Scoring
Weight of Evidence (WOE) and Information Value (IV) in Credit Scoring
Просмотров 2567 часов назад
Weight of Evidence (WOE) and Information Value (IV) in Credit Scoring
CHI-SQUARE Statistics in Credit Scoring
Просмотров 2017 часов назад
CHI-SQUARE Statistics in Credit Scoring
Population Stability Index in Credit Scoring
Просмотров 4297 часов назад
Population Stability Index in Credit Scoring
Gini & KS Statistics in Credit Scoring
Просмотров 1,2 тыс.7 часов назад
Gini & KS Statistics in Credit Scoring
Logistic Regression and Decision Trees
Просмотров 1397 часов назад
Logistic Regression and Decision Trees
Great analysis, thank you! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?
To access your USDT on OKX using your seed phrase, (never share your recover phrase in public places like here). You can either recover your wallet directly on the OKX platform by entering your 12-word seed phrase and setting a new password, or you can transfer your seed phrase to a hardware wallet like Ledger or Trezor and connect it to the OKX platform. Always prioritize security by using strong passwords, enabling two-factor authentication, and keeping your seed phrase safe. Verify the platform you're using to avoid phishing attempts and consider using a reputable software wallet if preferred. By following these steps and prioritizing security, you should be able to access your USDT on OKX.
I really appreciate your efforts! Could you help me with something unrelated: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?
To transfer your USDT from SafePal to Binance using your seed phrase, first recover your Binance account with the 12-word seed phrase. Then, open your SafePal app, select USDT, input your Binance USDT deposit address, and confirm the transfer. Prioritize security by double-checking the recipient address and being aware of network fees and confirmation times. Ensure you've completed the necessary verification steps on Binance to avoid issues. By following these steps and prioritizing security, you can successfully transfer your USDT.
tq so so so soooo much... this vedio fix my issue .. thanks for making this vedio.. it took me nearly half day to fix the issue
I'm glad the video could help you resolve your issue! It's always satisfying to know that the information we share can be useful. If you have any other questions or need further assistance, feel free to ask. Please subscribe and like the video to help the channel.
I'm glad the video could help you. If you have any questions or need further assistance, feel free to ask or recommend more topics I could cover on future videos. Please subscribe and like the video to help the channel.
nice👍
Thank you, please subscribe to see the upcoming content and make sugestions of more content you'd like to see in the channel!
Excellent Thanks for your help!
Thank you, please subscribe to see the upcoming content and make sugestions of more content you'd like to see in the channel!
Thanks! I learned a new trick today!!
Thank you, please subscribe to see the upcoming content and make sugestions of more content you'd like to see in the channel!
is there a way to go back and debug the last line again?
Thank you so much, I tried to find how to go inside a function when debugging for ages !
Thank you for sharing your work. I love the completeness of an app to front-end development
I'm glad the video could help you. If you have any questions or need further assistance, feel free to ask or recommend more topics I could cover on future videos. Please subscribe and like the video to help the channel.
Thank you I fixed my code after fighting it for 3 hours :D
nice work Manoel, can you please give me access to your code.
It is at my github, the code I start the video with is: github.com/manoelgadi/CompanySearcher_start and the code generated during the video is here: github.com/manoelgadi/CompanySearcher_final
Thanks a lot <3
It was very useful. Thank you!
Glad it was helpful!
Looked clear and simple, but I'm with a later version: 5.1.5 It looks like this, but the Icons are not quite the same. That should not be a problem. However nothing works as you show above. I use exactly the same code. I try to run in "debug mode" with the left most blue icon I just get this: IPython 8.7.0 -- An enhanced Interactive Python. debugfile('D:/devt/Python3/debugger_tests.py', wdir='D:/devt/Python3') > d:\devt\python3\debugger_tests.py(2)<module>() 1 # -*- coding: utf-8 -*- ----> 2 """ 3 Created on Thu Jan 26 16:36:32 2023 4 5 @author: larry Then the debugger just hangs, no button clicking does anything.
I looked up the problem with a search. The advice was to reinstall Anaconda entirely. There seems to have been a sequence of Spyder versions where the debugger did not work. Well, the latest Anaconda fixes that problem.
Thank you!
You're welcome!
How to disable debuge
Sir isme graphic ke coding run nahi ho rahi he jaise shinchan cartoon
thank you
Thank you very much Manoel! I now can move from google colab to jupyter notebook to use autosklearn for my master thesis. Good job, bro!
You are welcome!
Those blue buttons don't work at my Spyder 3.7 version ....
increible
KKK
Jjjjajajajajaja que grande tio
kkkkk
Exhausting. Not a good experience. :(
Thank you. Clearly explained!
You're welcome!
Thank you Sir!!!
Thanks very much. Short concise video and to the point.
Thank you
Thank you. Very clear.
Thank you. Your explanation is great! Exactly what I needed to know. You deserve more views.
Hola Manoel! Gracias por compartir tu conocimiento. Una consulta, como hago para importar datos almacenados en alguna carpeta de windows?
La manera más sencilla es hacerlo desde Jupyter Notebook usando el botón upload arriba a la derecha (al lado de New y la rueda de refrescar)., upload permite subir fichero de Windows al Linux.
@@manoelfernandoalonsogadi9040 Perfecto, muchísimas gracias!
I use WSL. Is very good.
Thank you!
These guys deserve a 10!
agree!
Excellent tutorial. The function text_to_num is an extremely useful one. Thank you so much.
hi, i have followed the steps of yours, but my codes keep appearing this error "'pip' is not recognized as an internal or external command, operable program or batch file.". What should i do?
Great models ! Very well explained !