The latest articles on Forem by Shaina Bowser (@poisonivy91). https://forem.com/poisonivy91 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1119324%2Fa70d527f-993d-4d24-ac06-a33fb6049159.jpeg https://forem.com/poisonivy91 en Shaina Bowser Mon, 15 Jan 2024 17:39:40 +0000 https://forem.com/poisonivy91/aws-codewhisper-1j80 https://forem.com/poisonivy91/aws-codewhisper-1j80 <p>In the workshop, I was captivated and fully ready to dive deep into the AWS world. Throughout the course, we were organized into teams, leveraging AWS Jam to collaborate with fellow members, solving real-world scenarios for clients. What stood out to me was the collaborative nature of coding; the Code Whisperer not only suggested certain codes but also boosted my productivity, providing valuable insights to enhance my coding journey.</p> <p>The workshop illuminated the efficiency gained by using a Code Whisperer. It significantly speeds up the coding process, turning what could be a lengthy task into a more streamlined experience. Reflecting on my experience building a machine learning model for a client, I realized how having a Code Whisperer could have been a game-changer, potentially reducing the year-long process to a fraction of the time.</p> <p>As I continue my journey, pursuing the AWS Developer Associates certification, I highly recommend attending workshops, engaging in hands-on labs, and delving into the AWS documentation. These experiences not only enhance your skills but also provide invaluable insights that can shape your coding approach. Get your hands dirty, explore, and make the most of the learning opportunities AWS offers.</p> webdev programming aws ai Shaina Bowser Fri, 14 Jul 2023 11:57:01 +0000 https://forem.com/poisonivy91/harness-the-power-of-aws-ml-tools-p5m https://forem.com/poisonivy91/harness-the-power-of-aws-ml-tools-p5m <p>Hey fellow developers! 👋 I'm thrilled to share an exciting project I've been working on using the amazing machine learning tools provided by AWS. As a passionate developer and aspiring AWS Community Builder, I've been exploring the capabilities of AWS ML services, particularly SageMaker, to create a groundbreaking solution that promotes mental health and well-being.</p> <p>In today's fast-paced world, taking care of our mental health is more important than ever. That's why I'm building a cutting-edge ML/deep learning model that acts as a mental health ally. Let me emphasize that this model does not diagnose any conditions, but rather provides recommendations and resources based on an individual's symptoms and concerns. Its goal is to guide users towards professional help and support.</p> <p>AWS SageMaker has been an absolute game-changer in my journey. Its comprehensive set of tools, pre-built algorithms, and managed infrastructure have enabled me to focus on the core of my project: developing a robust and accurate model. SageMaker's seamless integration with other AWS services, such as AWS Lambda and Amazon S3, has facilitated data processing, model training, and deployment with ease.</p> <p>By leveraging AWS ML services, my model analyzes vast amounts of anonymized data to identify patterns and correlations related to mental health. It takes into account various symptoms, concerns, and preferences provided by the users to recommend suitable therapists or psychologists from its extensive network. The system ensures data privacy and adheres to strict ethical guidelines.</p> <p>I'm incredibly excited about the potential impact this ML model can have on individuals struggling with mental health issues. It empowers users by providing them with personalized recommendations, promoting early intervention, and helping them connect with professionals who can offer the support they need. I truly believe in the power of technology to make a positive difference in people's lives, and this project is a testament to that belief. .</p> <p>If you're curious to learn more about SageMaker and its capabilities, I highly recommend checking out these resources:</p> <p>AWS SageMaker Documentation:(<a href="https://aws.amazon.com/pm/sagemaker/">https://aws.amazon.com/pm/sagemaker/</a>)</p> <p>AWS Machine Learning Blog: <a href="https://aws.amazon.com/blogs/machine-learning/">Link to AWS ML Blog</a></p> <p>AWS SageMaker Examples: <a href="https://github.com/aws/amazon-sagemaker-examples">Link to SageMaker examples</a></p> <p>These resources provide in-depth information, tutorials, and real-world examples to help you grasp the power of SageMaker and its applications in machine learning projects</p> <p>Feel free to reach out with any questions, feedback, or suggestions – I'd love to connect with fellow developers and AWS enthusiasts!</p> <p>Let's continue pushing the boundaries of what's possible with AWS ML tools and make a real impact on mental health support. Together, we can build a more compassionate and inclusive world.</p> <h1> AWSCommunityBuilder #MachineLearning #MentalHealthSupport #AWSML #SageMaker </h1> aws awscommunitybuilders ai