Tidak selalu negatif karena kenapa? Tidak semua perusahaan itu sama dan memakai dengan metode yang sama dalam pendelegasian/penugasan kepada karyawan. Saya berpengalaman hampir 22 tahun di dunia IT kadang kerja…
Python is the most popular language for machine learning (ML) and data science due to its simplicity, versatility, and a rich ecosystem of libraries. Here’s why Python dominates ML1. Easy to Learn & Read…
Scikit-learn (also called sklearn) is a free, open-source Python library for machine learning. It provides simple and efficient tools for: Supervised Learning (classification, regression) Unsupervised Learning (clustering, dimensionality reduction) Model evaluation (cross-validation, metrics) Data preprocessing (scaling, feature extraction)…
1. High-Level ML Workflow Diagram A typical ML pipeline can be visualized as a cyclic process with the following stages: [Data Collection] → [Data Preprocessing] → [Feature Engineering] → [Model Training] →…
1. Example: Sentiment Analysis AI (Text Classification) Goal: Train an ML model to classify movie reviews as positive or negative. 2. Step-by-Step Implementation 1. Install Required Libraries bash pip install pandas scikit-learn nltk…
Choose an AI Type TypeDescriptionExampleRule-Based AIFollows predefined if-else rulesChatbot, Decision TreeMachine Learning (ML) AILearns from dataImage classifier, Spam detectorChatbot (NLP)Uses natural language processingCustomer support bot 1. Build a Simple Rule-Based…
Yes, it’s possible—and sometimes beneficial—to blend Waterfall (structured phases) with Scrum (iterative agility). This hybrid model is often called "Wagile" or "Water-Scrum-Fall." Here’s how it works, when to use it, and key pitfalls to avoid. 1. How to…
