The Machine Learning Lessons I’ve Learned This Month
in machine learning are the same. Coding, waiting for results, interpreting them, returning back to coding. Plus, some intermediate presentations ...
Read more Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals
a lot of thoughts these days with the advent of AI and the conversations around AI. we move into an ...
Read more Everything I Studied to Become a Machine Learning Engineer (No CS Background)
learning was hard. There were many courses, books and resources I used along the way that helped me, but being ...
Read more What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model
of Shopify, recently told his employees in an internal memo: “Before asking for more headcount and resources, teams must demonstrate ...
Read more Three Essential Hyperparameter Tuning Techniques for Better Machine Learning Models
Learning (ML) model should not memorize the training data. Instead, it should learn well from the given training data so ...
Read more Cracking the Density Code: Why MAF Flows Where KDE Stalls
One of the main problems that arises in high-dimensional density estimation is that as our dimension increases, our data becomes ...
Read more A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That?
chapter of the in-progress book on linear algebra, “A birds eye view of linear algebra”. The table of contents so ...
Read more Data Mesh Diaries: Realities from Early Adopters
weaving its way into the spotlight over the past few years, as organizations try to find alternatives to centralized data ...
Read more How to Use LLMs for Powerful Automatic Evaluations
discuss how you can perform automatic evaluations using LLM as a judge. LLMs are widely used today for a variety ...
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