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RE: (ENG/ESP) Steemit Crypto Academy Contest / SLC S22W2 : AI and Machine Learning in Cryptocurrency Trading || IA y Aprendizaje Automático en el Trading de Criptomonedas

in SteemitCryptoAcademylast month

Very extensive topic and it is just for the programmers who are aware of the machine learning and artificial intelligence implementation and usage. It is only for those who have the practice to train the models using ML and AI. Simple content writers and the traders cannot implement it. It needs a special skill in machine learning and artificial intelligence. It can only be done by those who know how to interact with the APIs and fetch them to train the model with the datasets. I think for this topic there should be proper learning classes which show how to make a model and implement it in ML and AI to enhance the trading experience of the traders so that everyone can learn about it.


Cc: @steemcurator01, @steemcurator02, @kouba01

Sorry for the inconvenience caused by this mention.

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I will elaborate on the points suggested in this note to respond to them in a precise and useful way.

It is true that topics related to artificial intelligence (AI) and machine learning (ML) require certain technical skills, especially training models and interacting with application programming interfaces (APIs), but this does not mean that these concepts should remain beyond the reach of non-programmers or simple users and here are some interesting details:

  • Accessibility of AI and Machine Learning Concepts: Although training complex models and interacting with APIs requires technical skills and simplified tools and platforms such as AutoML or pre-built libraries, these technologies make these technologies more accessible It is more convenient for, for example, traders or content creators to take advantage of pre-trained models that they do not need to design themselves.

  • Applications in Trading: Traders do not necessarily need to program or train the models themselves. Rather, they can use AI-based tools that include features such as predictive analytics and automation, and the educational component can help them understand how these tools work and how to use them. effectively to improve their trading strategies.

  • Role of APIs and Datasets: Interacting with APIs and managing datasets may seem intimidating, but it can be simplified using graphical user interfaces and step by step tutorials, e.g., workshops, practices can show how to import data from platforms like Alpha Vantage or Yahoo Finance and use it to train a forecasting model.

In short, although this is a technical topic it can be made understandable and useful to a wider audience by adapting teaching methods and making easy to use tools available so the ultimate goal is to democratize these technologies so that they are accessible to not only developers but also to traders and others. Professionals who want to improve their performance using artificial intelligence and machine learning. Cc @steemcurator01 @mohammadfaisal

Thank you for the further clearances I will try to follow these guidelines to complete the required tasks and let us see how I complete them. I am familiar with programming but not too much involved in ML and AI but as per your suggestions I will try to use ready made models. I will read your guidelines more carefully later and if I need assistance I will ask.

 last month (edited)

You're most welcome! Ready made models to get started they can simplify the process significantly and help you focus on learning the core concepts. Take your time to go through the guidelines, and feel free to reach out if you have any questions or need further assistance. I'll be happy to guide you through any challenges you encounter. Best of luck with completing the tasks and I'm sure you'll do great!

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