Discover gradient descent and its variants, including Adam optimizer. Learn how Adam simplifies machine learning optimization with efficiency and adaptability!

Explore the causes of GAN mode collapse, including catastrophic forgetting and discriminator overfitting, to enhance the diversity of AI-generated outputs.

Let's explore the world of ethical and legal web scraping, uncovering the new factors to consider in the age of AI.

HackerNoon's Startups of the Year 2024 Nominee, AI Verse transforms AI training with scalable synthetic image generation for industries worldwide.

The future of data isn't just about TransformerModels or BigDataTransformations - it's about their powerful integration!

Explore how automated scoring and ML-driven decisions shape small business lending, from cost optimization to navigating 'hard cuts' in credit approvals.

This section highlights the challenges of building a reliable text corpus for QAnon authorship analysis due to deleted accounts and limited archival data.

This sectionhighlights Ron W. and Paul F. as key QDrop authors, explores collaborative patterns, and discusses limitations in identifying contributors to QAnon.

Machine learning identifies linguistic patterns in QAnon texts, suggesting key authors like Ron W. and Paul F., and uncovering distinct writing styles.

Using stylometric analysis, this part explores the linguistic signatures of QAnon texts, revealing potential multiple authors & new insights into their origins

This portion of the study explores QAnon's societal influence and evaluates competing theories about the identity of "Q".

Uplift Modeling is a way to model the impact of marketing campaigns on customer conversion.

This blog explores prompts in GenAI, their importance, and key principles to craft effective, impactful prompts.

A look back at the key moments that defined AI in 2024.

Here’s a step-by-step guide to start thinking in the "AI way."

Discover Ishan Bhatt's groundbreaking vision for redefining edge computing networks, enabling faster, efficient AI and ML workloads with low-latency solutions.

Discover how combining machine learning with microservices architecture enables scalable, high-performance systems by leveraging modular design, efficient data

Human versus Automated content moderation: Which approach is better suited for you

Binary classification is one of the most common machine learning tasks. In practice, the goal of such tasks often extends beyond simply predicting a class.

Adversaries are resilient and always looking for innovative ways to tamper with ML models.