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  • #4159355

    Machine learning algorithm

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    by chrisrusselled667 ·

    Does anyone know how to create and write an algorithm, I need help to create a machine learning algorithm for a new company. Or would you be able to point me in the right direction?

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    • #4159371
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      Reply To: Machine learning algorithm

      by birdmantd ·

      In reply to Machine learning algorithm

      Reminder to all: Please keep this thread spam-free or posts will be deleted by the moderators.

    • #4159402
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      Too open ended.

      by rproffitt ·

      In reply to Machine learning algorithm

      While I do write algorithms it was in the Systems Analyst classes that I learned to DOCUMENT the algorithm so it could be part of the usual software documentation.

      Your topic is far too open ended. Did you start your work by writing the usual software specification document? If you haven’t you haven’t started the process to create your app or system.

    • #4159455

      Reply To: Machine learning algorithm

      by chrisrusselled667 ·

      In reply to Machine learning algorithm

      I am not computer minded at all I have no idea how to do this. I was recommended to post on here by a friend. I have a proposition and want to know if it is possible with AI.

      • #4159465
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        In this case.

        by rproffitt ·

        In reply to Reply To: Machine learning algorithm

        You would build a team that does such work. Your question is too open ended and even for non-computer systems you still have to write the design document.

        Such was taught in System Analysis classes long ago. Maybe the name has changed but the work remains the same.

        Back to you. Get a team on it. Why? There is no way to cover all the information and skills required in any forum I know of so the answer is “put together a team” for this project.

    • #4159472

      Reply To: Machine learning algorithm

      by chrisrusselled667 ·

      In reply to Machine learning algorithm

      Is there any online forum you can recommend that would put me in touch with such individuals?

    • #4159533
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      Reply To: Machine learning algorithm

      by kees_b ·

      In reply to Machine learning algorithm

      There are very different kinds of AI. While ChatGPT is rather good in what it is designed for, I don’t think it’s very useful for TikTok to determine what it should show you next. Nor to Facebook to show you the right ads based on what your friends bought recently. Nor to analyse an X-ray and tell what kind of cancer you have in what degree.

      I’d start with following a master of artificial intelligence in some university. There is a lot of math involved.

      • This reply was modified 8 months, 3 weeks ago by Avatar photokees_b.
      • This reply was modified 8 months, 3 weeks ago by Avatar photokees_b.
    • #4159769
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      Reply To: Machine learning algorithm

      by Leena Hijazi ·

      In reply to Machine learning algorithm

      Here’s a high-level guide to get you started:

      Define the Problem: Clearly define the problem you want to solve with machine learning. This involves understanding the business objectives, identifying the relevant data, and defining the scope of the problem.

      Gather and Prepare Data: Collect the necessary data for training and testing your algorithm. Clean and preprocess the data to handle missing values, outliers, and any other data quality issues. Split the data into training and testing sets.

      Select an Algorithm: Choose an appropriate machine learning algorithm that suits your problem. The choice of algorithm depends on factors such as the type of problem (classification, regression, clustering, etc.), the nature of the data, and your performance requirements.

      Train the Algorithm: Use the training data to train the chosen algorithm. During this step, the algorithm learns the patterns and relationships in the data.

      Evaluate and Optimize: Assess the performance of your algorithm using the testing data. Measure relevant metrics (accuracy, precision, recall, etc.) to evaluate its effectiveness. If the performance is not satisfactory, you may need to fine-tune the algorithm by adjusting hyperparameters or considering different algorithms.

      Deploy the Algorithm: Once you are satisfied with the algorithm’s performance, deploy it to your production environment. This involves integrating the algorithm into your company’s systems and ensuring it can handle real-time data.

      Monitor and Maintain: Continuously monitor the algorithm’s performance in the production environment. Keep track of any changes in data distribution or business requirements that may impact its effectiveness. Periodically retrain the algorithm with fresh data to maintain its accuracy and relevancy.

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