AI HUM TCH UJ Ujang Riswanto What is SARSA? Understanding the On-Policy Learning Algorithm Discover the Fundamentals of SARSA, the On-Policy Reinforcement Learning Algorithm Used to Learn Optimal Actions
AI HUM UJ Ujang Riswanto How PILCO Bridges the Gap Between Model-Based and Model-Free RL A beginner-friendly exploration of how PILCO combines the efficiency of model-based reinforcement learning with the flexibility of…
AI TCH UJ Ujang Riswanto Step-by-Step Guide to Building Neural Networks in Python (or R) Neural networks are the backbone of modern AI, powering everything from image recognition to natural language processing. But if you’re…
AI HUM TCH UJ Ujang Riswanto Mastering SARSA: Step-by-Step Implementation in Python A Practical Beginner-to-Intermediate Guide for Building, Training, and Evaluating SARSA Agents Using Python
AI TCH SCI UJ Ujang Riswanto Step-by-Step Guide to Building Decision Trees with C4.5 If you’ve ever dealt with decision-making processes (whether in real life or in data science), you’ve probably come across decision trees…
TCH UJ Ujang Riswanto Step-by-Step Implementation of Labeled LDA in Python (or R) LLDA is your friend when you want topic modeling that actually respects the categories you already have.
TCH UJ Ujang Riswanto Step-by-Step Implementation of sLDA in Python If you’ve played around with Latent Dirichlet Allocation (LDA) before, you probably know it’s great at finding hidden themes in text — like…
AI UJ Ujang Riswanto Cracking the Code of Sparse Data with Elastic Net Regression Elastic Net is powerful, but it’s not a black box. With a little care and attention to detail, you can make it work wonders on even the…
TCH UJ Ujang Riswanto Step-by-Step Implementation of Sparse LDA in Python or R Sparse LDA is like turning down the background noise in your topic model so the main voices come through loud and clear
TCH UJ Ujang Riswanto Step-by-Step Guide to Building Decision Trees with ID3 Ever wondered how machines make decisions, just like humans? Well, that’s where decision trees come into play! They’re one of the simplest…
AI SCI UJ Ujang Riswanto Understanding the Math Behind Multivariate Logistic Regression Multivariate logistic regression isn’t just about crunching numbers — it’s about making data-driven decisions.
AI TCH UJ Ujang Riswanto The Role of Neural Networks in Natural Language Processing Neural networks have revolutionized how we interact with language — making AI smarter, more human-like, and incredibly useful.
TCH UJ Ujang Riswanto Building Interpretable Models with ID3 Decision Trees Imagine you’re trying to explain a big decision to someone — like choosing a new phone. You might break it down into questions: “Do I want…
HUM TCH UJ Ujang Riswanto What is C4.5? Understanding the Evolution of Decision Trees It made decision trees practical for real-world use, inspired new algorithms, and is still a great learning tool for beginners.
BIO GEN TCH UJ Ujang Riswanto Agglomerative Hierarchical Clustering for Genomic and Biological Data AHC is like a trusty Swiss Army knife for biological data — especially when you’re trying to make sense of complex patterns or uncover…
TCH UJ Ujang Riswanto Step-by-Step Implementation of Ester’s DBSCAN in Python (or R) Let’s talk clustering — no, not your messy desktop folders, but the kind where we group similar data points together without any labels…
TCH UJ Ujang Riswanto Step-by-Step Guide to Implementing CTM in Python (or R) If you’ve ever played around with topic modeling, chances are you’ve heard of LDA (Latent Dirichlet Allocation) — the classic algorithm…
MED AI TCH UJ Ujang Riswanto Step-by-Step Implementation of Multivariate Logistic Regression in R with caret Ever wondered how businesses predict customer behavior or how doctors determine the likelihood of a patient having a disease? That’s where…
TCH UJ Ujang Riswanto Challenges and Solutions in Using Ester’s Standard DBSCAN If you’ve ever tried clustering data, you’ve probably come across DBSCAN — that’s short for Density-Based Spatial Clustering of…
AI TCH UJ Ujang Riswanto What Are Neural Networks? Breaking Down the Basics of AI Neural network takes in data, processes it layer by layer, makes a decision, and then learns from its mistakes to improve over time.
UJ Ujang Riswanto Challenges and Solutions in Applying Correlated Topic Models to Large Datasets CTM may be more demanding than LDA, but with the right tools and workflow, it can take your text analysis to a whole new level.
GEN TCH UJ Ujang Riswanto Why Use ID3? Exploring the Algorithm’s Strengths and Weaknesses ID3 is great for simple, structured datasets, but it struggles when things get messy.
TCH UJ Ujang Riswanto Exploring the Role of C4.5 in Ensemble Methods Like Random Forests C4.5 is a solid, well-rounded decision tree algorithm that handles missing data, supports categorical and continuous features, and includes…
UJ Ujang Riswanto What is Supervised LDA? A Beginner’s Guide to Predictive Topic Modeling Whenever you’ve got text + a label you care about, sLDA can step in to both explain what people are talking about and predict outcomes…
UJ Ujang Riswanto What is Sparse LDA? A Beginner’s Guide to Efficient Topic Modeling Learn what Sparse LDA is and why it’s a game changer for large-scale text analysis. This beginner’s guide explains how Sparse LDA works…