Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog, Revive-n-Thrive.com

Logistic Regression in Machine Learning: Python Example

Last updated: 26th April, 2024 In this blog post, we will discuss the logistic regression machine learning algorithm with a…

7 hours ago

MSE vs RMSE vs MAE vs MAPE vs R-Squared: When to Use?

Last updated: 22nd April, 2024 As data scientists, we navigate a sea of metrics to evaluate the performance of our…

2 days ago

Gradient Descent in Machine Learning: Python Examples

Last updated: 22nd April, 2024 This post will teach you about the gradient descent algorithm and its importance in training…

5 days ago

Loss Function vs Cost Function vs Objective Function: Examples

Last updated: 19th April, 2024 Among the terminologies used in training machine learning models, the concepts of loss function, cost…

1 week ago

Model Parallelism vs Data Parallelism: Examples

Last updated: 19th April, 2024 Model parallelism and data parallelism are two strategies used to distribute the training of large…

1 week ago

Model Complexity & Overfitting in Machine Learning: How to Reduce

Last updated: 4th April, 2024 In machine learning, model complexity, and overfitting are related in that the model overfitting is…

2 weeks ago

6 Game-Changing Features of ChatGPT’s Latest Upgrade

OpenAI has once again set the tech world abuzz with its latest enhancement to ChatGPT, making it a lot easier…

2 weeks ago

Self-Prediction vs Contrastive Learning: Examples

In the dynamic realm of AI, where labeled data is often scarce and costly, self-supervised learning helps unlock new machine…

2 weeks ago

Free IBM Data Sciences Courses on Coursera

In the rapidly evolving fields of Data Science and Artificial Intelligence, staying ahead means continually learning and adapting. In this…

3 weeks ago

Self-Supervised Learning vs Transfer Learning: Examples

Last updated: 3rd March, 2024 Understanding the difference between self-supervised learning and transfer learning, along with their practical applications, is…

3 weeks ago

OKRs vs KPIs vs KRAs: Differences and Examples

Last updated: 21st Feb, 2024 The difference between OKRs , KPIs, and KRAs is often confused, but the concept is a…

2 months ago

CEP vs Traditional Database Examples

In this blog, we will learn about the differences between complex event processing (CEP) and traditional database querying with the…

3 months ago

Retrieval Augmented Generation (RAG) & LLM: Examples

Last updated: 26th Jan, 2024 Have you ever wondered how to seamlessly integrate the vast knowledge of Large Language Models…

3 months ago

Attention Mechanism in Transformers: Examples

Last updated: 1st Feb, 2024 The attention mechanism allows the model to focus on relevant words or phrases when performing…

3 months ago

NLP Tokenization in Machine Learning: Python Examples

Last updated: 1st Feb, 2024 Tokenization is a fundamental step in Natural Language Processing (NLP) where text is broken down…

3 months ago

Large Language Models (LLMs): Types, Examples

Last updated: 31st Jan, 2024 Large language models (LLMs), being the key pillar of generative AI, have been gaining traction in…

3 months ago
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