All posts by admin
Deploying Machine Learning Models in Production: Challenges, Strategies, and Best Practices
Deploying a machine learning (ML) model is one of the most exhilarating milestones in an ML project. However, as many seasoned practitioners have discovered, simply turning on a trained model does not guarantee success in the real world. In production, a model faces a host of challenges—from evolving data to complex software engineering requirements—that must…
Navigating the Ever-Changing Tech Landscape as a Junior Developer
The tech industry is known for its relentless pace of change. As a junior developer, you might often feel like you’re chasing a moving target—new frameworks, tools, and best practices seem to emerge daily. This feeling of being perpetually behind, especially when reading job descriptions that list an overwhelming array of skills, is both common…
Leveraging Knowledge Distillation for Embedded AI: A Comprehensive Guide
In today’s rapidly evolving AI landscape, deploying deep learning models on resource-constrained devices is both a challenge and a necessity. Embedded AI—where inference happens directly on devices like smartphones, IoT sensors, or embedded systems—demands models that are both efficient and effective. In this guide, we explore how to bridge the gap between high-capacity models and…
Building a Robust Soft Actor-Critic (SAC) Agent for LunarLanderContinuous-v2
Leveraging Prioritized Experience Replay, Layer Normalization, Gradient Clipping, and More Introduction Deep Reinforcement Learning (DRL) has revolutionized how agents learn complex control tasks. In this article, we explore a comprehensive implementation of the Soft Actor-Critic (SAC) algorithm applied to OpenAI Gym’s LunarLanderContinuous-v2 environment. Our implementation goes beyond a simple example by incorporating advanced improvements such as: This…
From Proof-of-Concept to Real-World Impact: How to Successfully Deploy Machine Learning Models
Machine learning (ML) has revolutionized industries by unlocking the potential to automate tasks, generate new insights from data, and create entirely new product experiences. Yet, many practitioners and aspiring ML engineers discover a significant gap between training a great model in a lab or a Jupyter Notebook and actually running that model in production to solve real…
MultiClass Classification
Image classification is a type of supervised machine learning task where the goal is to sort images in a dataset into their appropriate categories or labels. For instance, classifying different types of dog breeds from images is a common example of image classification. This is referred to as “multi-class classification” since we’re sorting images into…
Tools to Enforce Basic Quality Standards
Understanding Clean Code Clean code is like a hidden gem in the world of programming. It’s a concept that, while not easily definable by strict rules or measurable by machines, forms the backbone of our profession. Clean code is not something a tool can point out, but it’s something we, as developers, can collectively recognize…
Digit Recognition: Kaggle Challenge
Digit recognition is a classic problem in the field of computer vision, with a wide range of practical applications such as optical character recognition (OCR), handwriting recognition, and digit-based security systems. The challenge in digit recognition is to train a machine learning model that can accurately classify handwritten digits from a given dataset. Recently, the…
Fully Connected Neural Network
We will explore the fascinating field of deep learning in this blog post. The primary neural network configuration we use today, feed-forward networks, will be the subject of our attention today. We will investigate the key ideas and theories that have shaped the deep learning field. In the upcoming posts, we’ll talk about the initial…