Can anyone provide some guidance on the initial steps and key resources for someone diving into this field? - 3 views

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  #1 mikejason77 on 18 Nov 23

   

  Hey everyone! I'm really intrigued by the idea of building AI software, but I'm not sure where to start. Can anyone provide some guidance on the initial steps and key resources for someone diving into this field?

   

  <div class="cArrow"> </div><div class="cContentInner">Hey everyone! I'm really intrigued by the idea of building AI software, but I'm not sure where to start. Can anyone provide some guidance on the initial steps and key resources for someone diving into this field?</div>

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  #2 hertjustin3 on 18 Nov 23

   

  It's awesome that you're interested in building AI software. Starting out, I'd recommend getting a solid foundation in programming languages like Python and understanding basic data science concepts. Familiarize yourself with machine learning libraries such as TensorFlow or PyTorch. Online courses like https://binerals.com/blog/how-to-build-ai-software on Coursera are fantastic for beginners. Once you're comfortable, try working on small projects to apply your knowledge. Kaggle is a great platform for finding datasets and participating in competitions, which can be incredibly insightful. Don't hesitate to ask if you need further clarification on any specific topic!

   

  <div class="cArrow"> </div><div class="cContentInner">It's awesome that you're interested in building AI software. Starting out, I'd recommend getting a solid foundation in programming languages like Python and understanding basic data science concepts. Familiarize yourself with machine learning libraries such as TensorFlow or PyTorch. Online courses like <a href="https://binerals.com/blog/how-to-build-ai-software" rel="nofollow">https://binerals.com/blog/how-to-build-ai-software</a> on Coursera are fantastic for beginners. Once you're comfortable, try working on small projects to apply your knowledge. Kaggle is a great platform for finding datasets and participating in competitions, which can be incredibly insightful. Don't hesitate to ask if you need further clarification on any specific topic!</div>

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  #3 jamesstiller80 on 18 Nov 23

   

  Building AI software is a rewarding journey. To add to Jastin's suggestions, consider exploring deep learning after mastering the basics. Dive into neural networks and understand their architectures. Books like "Deep Learning" by Ian Goodfellow can provide in-depth insights. Additionally, keep an eye on the latest research papers in the field to stay updated on advancements. Collaborating with others on projects can enhance your skills, and platforms like GitHub offer a wealth of open-source projects to contribute to. Remember, it's okay to encounter challenges; that's part of the learning process. Stay curious, and you'll make great progress! Good luck!

   

  <div class="cArrow"> </div><div class="cContentInner">Building AI software is a rewarding journey. To add to Jastin's suggestions, consider exploring deep learning after mastering the basics. Dive into neural networks and understand their architectures. Books like "Deep Learning" by Ian Goodfellow can provide in-depth insights. Additionally, keep an eye on the latest research papers in the field to stay updated on advancements. Collaborating with others on projects can enhance your skills, and platforms like GitHub offer a wealth of open-source projects to contribute to. Remember, it's okay to encounter challenges; that's part of the learning process. Stay curious, and you'll make great progress! Good luck!</div>

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