Ian Lumsden, AAMS’ Post

How do you optimize an AI model? It all comes down to gradient descent and loss functions: two core ideas that make machine learning possible. Recently produced a quick, beginner-friendly video breaking these down step by step—the second mini-lecture to my "intro to AI" series. Whether you’re new to machine learning or just want to brush up on the basics, this is for you. Let me know what you think: https://lnkd.in/e7PJi55V -Pranav

Curious about machine learning? We've got you covered! Our latest blog post breaks down 5 essential machine learning algorithms you should know. Whether you're just starting out or looking to deepen your understanding, these fundamentals are key to unlocking the potential of AI in your projects. Learn more: https://lnkd.in/gpQDVG7g

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🎉 What's your generative AI knowledge score? Check out my cheat sheet featuring the most frequently used terms and their simple summaries 😎 I've distilled the most popular terms into easy-to-understand one-liners. Even if you're not very familiar with machine learning, these terms should be easy to understand! Happy Learning!

4 Days to Go, Don’t miss this opportunity to learn from a Google expert! Gopala D. Don’t miss this opportunity to learn from a Google expert!   Get Started and learn about Generative AI Workshop Model Tuning   Be a part of #GoogleCloudLearningWeekends and take your skills to the next level.   Register now! → https://lnkd.in/gQwkWshc     #GoogleCloudLearningWeekends #GoogleCloud #GoogleCloudMasters

During one of our LLM Makerspace sessions we built an application, using function calling, to have an LLM call a machine learning model and access historical data from a feature store - AI calling AI! Watch the full session to follow along and build the application yourself. 🧑💻 https://bit.ly/3vRJV8y

If you want to work with machine learning in fields like health care, finance or legal, you need to be aware that the priority for these industries is 'Explainability' and 'Interpretability'. It more important to understand how your machine learning model got about the result, than the result it got. In this case, sharpening your skills in traditional machine learning will be of more benefit to you, than mastering generative AI. These industries need to understand and trust your model's reasoning. Wish you Good Data Luck!!! #machinelearning #generativeai

🔍 Explainable ML: Making Black-Box Models Understandable 💡 Rowen, our Machine Learning Algorithms Advocate, is here to demystify one of the biggest misconceptions in AI— that machine learning models are just "black boxes". In this insightful article, Rowen explores techniques like LIME and SHAP that bring transparency to complex models by showing how features contribute to decisions. With real-world examples from healthcare and finance, this guide demonstrates why explainable AI is essential for ensuring trust and fairness in high-stakes applications. Curious how you can make your models more interpretable? Check out the full article in the comment section ⬇️ #MachineLearning #LIME #SHAP #AIPilipinasCebu #AIAdvocateProgram

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Just finished the course “Strengthen Your Decision-Making with Generative AI”.