Skip to content
TechGlad Logo

TechGlad

Learn Artificial Intelligence and Data Science

  • Data Science
  • Machine Learning
  • AI General
  • Quiz
  • About US
  • Contact US
Data Science Job Checklist
Posted inData Science

How to Transition into Data Science from a Non-Technical Background

It is intimidating to make the transition from a non-technical background into data science, but with the right approach, it's possible. Regardless of the business, social sciences, arts, or any…
Posted by Mr. AI March 26, 2025
Differences between roles of Data Scientist and Data Analyst
Posted inData Science

Data Scientist vs Data Analyst: Everything You Must Know

Data science and data analysis are two highly important roles within an organization in today's highly data-driven world. Even though they are related, their duties, skill sets, and career tracks…
Posted by Mr. AI March 22, 2025
Prompt Engineering is Over Hyped
Posted inAI General

What is Prompt Engineering? Is it Over Hyped?

Prompt engineering is a new branch of artificial intelligence (AI) about the design of efficient inputs, or "prompts," to influence AI models to produce desired results. Given the way AI…
Posted by Mr. AI March 21, 2025
Data Science Certification Guide
Posted inData Science

Top Data Science Certifications to Boost Your Career (2025)

Data science remains one of the most in-demand and dynamic fields. It is open to a variety of opportunities, as long as a person is properly equipped with skills and…
Posted by Mr. AI March 18, 2025
Data Science Projects for Beginners
Posted inData Science

7 Beginner-Friendly Data Science Projects You Can Try Today

Entering into data science is like stepping into an uncharted and vast world; the best way to step in gradually would be through projects. The beginner-friendly projects not only introduce…
Posted by Mr. AI March 18, 2025
Version Control in Machine Learning Projects
Posted inMachine Learning

Best Practices for Version Control in Machine Learning Projects

Version control is very important for ML projects since they are pretty complex and iterative, hence model development. Without proper version control, it might be hard to manage changes, reproduce…
Posted by Mr. AI March 18, 2025
Posted inData Science

Building a Data Science Portfolio That Stands Out in 2025

A standout portfolio is one of the most critical requirements in this rapidly evolving world of data science. It allows one to showcase his skills, unique approaches to solving data-related…
Posted by Mr. AI March 17, 2025
Machine Learning in Cybersecurity
Posted inMachine Learning

Using Machine Learning in Cybersecurity and Threat Detection

In the digital era, cybersecurity is a matter of extreme importance for both organizations and individuals. Cyber threats evolve with increased sophistication and frequency; traditional security systems have not, in…
Posted by Mr. AI March 16, 2025
Posted inDeep Learning

TensorFlow vs PyTorch: Which One to Choose and Why?

TensorFlow and PyTorch are significant frameworks for deep learning. TensorFlow is developed by Google Brain, known for great robustness and development readiness. PyTorch is developed by the AI Research lab…
Posted by Mr. AI March 15, 2025
Zero Shot and Few Shot Learning in Machine Learning
Posted inMachine Learning

Zero-Shot and Few-Shot Learning in Machine Learning: Explained with Examples

Zero-shot and few-shot learning are two very interesting concepts under the banner of machine learning, which attempted to overcome the shortcomings of traditional learning methods requiring huge labeled data. These…
Posted by Mr. AI March 11, 2025

Posts pagination

Previous page 1 2 3 4 … 9 Next page

Recent Posts

  • Bayesian Methods in Data Science: When and How to Use Them
  • Synthetic Data in Data Science: Use Cases and Tools
  • AI Assistants vs AI Agents – Definitions, Differences and Use Cases
  • Future of Data Science: Trends to Watch in 2025
  • Model Context Protocol (MCP) Explained in Detail
Trending Articles
Bayesian Methods in Data Science and uses
Posted inData Science

Bayesian Methods in Data Science: When and How to Use Them

Synthetic Data in Data Science Explained in Detail
Posted inData Science

Synthetic Data in Data Science: Use Cases and Tools

AI Assistants vs AI Agents
Posted inAI General

AI Assistants vs AI Agents – Definitions, Differences and Use Cases

Future of Data Science and Trends to Watch
Posted inData Science

Future of Data Science: Trends to Watch in 2025

Copyright 2025 — TechGlad. All rights reserved. Bloghash WordPress Theme
Scroll to Top