2023
- ChatGPT Alternatives That Deserve Your Attention
- Who Cares if Big Data Is Dead!
- The Rise of ChatGPT: Separating Hype from Reality
- Machine Learning and MLOps Tools on Google Cloud
- MLOps: All-in-One Platform vs Piecemeal Tools
- SQL Renaissance
- Which Data Pipeline Orchestration Tool Is Right For You?
- Chasm of AI Security Between Research and Products
- What Are Data, Machine Learning, and MLOps Pipelines?
- Survey of Machine Learning Lifecycle
- Should You Care About MLOps? Why and How Much?
- MLOps: Machine Learning Life Cycle
- Machine Learning vs Traditional Software Development
- MLOps for Continuous Integration, Delivery, and Training
- Serverless Computing on AWS, Azure, and Google Cloud
- When to (Not) Use Machine Learning
- Types of SQL Joins: Inner, Left, Right, and Full
- 50 Public Datasets for Machine Learning Projects
- 5 Reasons Why 78% Machine Learning Projects Fail
- MLOps — the dust has not settled yet
- Data Visualization Chart Cheatsheets
- Setting Up Data Collection
- Best Path for Developers to Get into Machine Learning
- To be agile, or not to be, that is the question
- Model Evaluation vs. Model Testing vs. Model Explainability
- Top 10 Programming Languages Portfolio
- Actionable Insights from 4 Types of Data Analytics
- SQL vs. NoSQL Database: When to Use, How to Choose
- Pandas Apply: 12 Ways to Apply a Function to Each Row in a DataFrame
- Python Microservices: Effective Canonical Logging Across Services
- Python Microservices: API, Object, and Storage Data Models
- Python Microservices: Build and Test REST Endpoints With Tornado
- Scalable Efficient Big Data Pipeline Architecture
- Python Microservices: Choices, Key Concepts, and Project setup
- Speech Recognition With Python
- How to Build Python Transcriber Using Mozilla Deepspeech
- An Engineer’s Trek into Machine Learning