AI/ML
6 articles in this category.
Fed-Focal Loss Explained: What It Does and Why It Matters
A plain-language explanation of Fed-Focal Loss — the federated learning technique for handling imbalanced data. 93 citations, IJCAI 2020. What it does, how it works, and why it matters for production FL.
AI Implementation for Startups: A Practical Guide
A startup consultant's guide to implementing AI and machine learning based on real advisory experience with AI-first companies.
From ChaterOn to Leena.ai: Reflecting on a Transformative Investment Journey
A reflective look at the investment journey from ChaterOn to Leena.ai, covering the pivot from chatbots to enterprise HR AI, key milestones including YCombinator acceptance, and lessons learned as an early-stage investor.
Octo.ai: Shaping the Future of Machine Learning and Analytics
A retrospective on Octo.ai's journey from 2013 to 2017, covering its impact on the machine learning community through open-source tools, key milestones including YourStory recognition, and the vision for the future of AI and analytics.
Under the Hood: The Technical Marvels of Octo.ai
A deep technical dive into Octo.ai's analytics hypervisor architecture, covering distributed computing, AutoML, real-time analytics, cloud-native deployment, and the open-source ecosystem powering the machine learning platform.
Revolutionizing Machine Learning: The Birth of Octo.ai
The origin story of Octo.ai, an open-source analytics hypervisor for machine learning, from its genesis in 2013 through gaining traction on Product Hunt, GitHub recognition, and seed funding -- and the vision to democratize ML for businesses worldwide.