Ravi

Ravi

Ravi has built and deployed machine learning and deep learning models, from image classification to time-series forecasting, across the full pipeline from data cleaning to production monitoring. He understands the gap between notebook performance and real-world reliability. He tests new architectures before writing, helping learners grasp the mechanics behind ML systems, not just run pre-built code.

24 Articles

machine learning engineer salary
By Ravi | August 11th, 2026

Machine Learning Engineer Salary Trends

There is a different kind of futuristic appeal attached to machine learning and artificial intelligence roles. As these technologies become more imperative in various industries, many sought-after career paths open up.

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AI And ML Courses
By Ravi | August 11th, 2026

Top AI and ML Courses and Certifications

The journey to a successful career in leading fields begins by choosing from the top AI and ML courses and training resources. The ones mentioned here are among the best ones.

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introduction to machine learning
By Ravi | August 11th, 2026

Introduction To Machine Learning

Machine learning is a leading technology that is transforming how computers learn from data to make decisions or predictions without being explicitly programmed every time.

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machine learning frameworks
By Ravi | August 11th, 2026

Top Machine Learning Frameworks to Use

Machine learning frameworks make the work easier and accessible with complicated deep learning and machine learning models. This blog will discuss the top 10 machine learning frameworks, what they are, its pros and cons, and more. ML is a kind..

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Machine Learning Tools
By Ravi | August 11th, 2026

Top 20 Machine Learning Tools in 2026

There are different types of software, programming languages, tools, platforms available in the market to develop and build ML applications. On a personal level, it is easier to practice and use the ones which are open sources and free.

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What is deep learning
By Ravi | August 11th, 2026

What is Deep Learning?

Computing is rapidly revolutionizing and at the center of this revolution lies artificial intelligence and machine learning. Both these technologies, and the ones branching out from these, are hinged on their..

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Machine Learning vs AI
By Ravi | August 11th, 2026

Machine Learning Vs. Artificial Intelligence: What's the Difference

Most likely, AI is a more significant thing nowadays, and this will help in ensuring that individuals would be more knowledgeable than having simple knowledge in gaining and making benefits..

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What is Amazon SageMaker
By Ravi | August 11th, 2026

What is Amazon SageMaker?

Machine learning has gained quite a momentum over the past few years. But that does not mean that building and deploying machine learning models is an easy task. Experts make..

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machine learning algorithms
By Ravi | August 11th, 2026

Top Machine Learning Algorithms to Know

In the recent times, the world has already witnessed a whole lot of transformation in the tech sector. Computing has gone from large mainframes to PCs and is currently on the cloud. But you think this..

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Generative Adversarial Networks
By Ravi | August 11th, 2026

What are Generative Adversarial Networks (GANs)?

The Generative Adversarial Networks (GANs) assist machines in producing new, realistic data through learning from the existing examples. This technology was introduced by Ian Goodfellow and his team in 2014. Since then, they have modified..

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What is MLOps
By Ravi | August 11th, 2026

What is MLOps (Machine Learning Operations)?

Machine learning (ML) is a fairly known concept but very few have an answer to 'what is MLOps'. The concept of MLOps rose due to the increasing difficulty in productionizing machine learning. The machine..

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How to Install TensorFlow
By Ravi | August 11th, 2026

How to Install TensorFlow: A Step-by-step Guide For Beginners

TensorFlow is a popular software library for computational mathematics to develop ML and DL models. It comptes three of the most used libraries and has 38.78% of market share in the data science field. Do you know..

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why python for ai and machine learning
By Ravi | August 11th, 2026

Why Learn Python for AI and Machine Learning?

AI and Machine Learning are the future. Is not it? These two technologies are taking the world by storm and that means that they are popular today but in the years to come, their use and popularity will multiply..

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deep learning mcqs
By Ravi | August 11th, 2026

Deep Learning MCQs: Fundamentals to Advanced

Preparing to become a Deep Learning Engineer? This Top 70 Deep Learning MCQs collection is your ultimate resource. It includes frequently asked multiple-choice questions, categorized for comprehensive learning, to evaluate your expertise and identify areas for improvement...

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LightGBM
By Ravi | August 11th, 2026

LightGBM (Light Gradient Boosting Machine)

When it comes to large-scale tabular data and gradient boosting frameworks, model performance and iteration speed can be impacted immediately by the choice of framework. LightGBM is now one of the most popular choices among data scientists and...

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Data Science and Machine Learning
By Ravi | August 11th, 2026

Data Science and Machine Learning- Differences and Similarities

Data science and machine learning are two data-using technologies that are high in demand and still expanding. Data is highly relevant in the way these work to give an answer..

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What Is a CNN in Machine Learning?
By Ravi | August 11th, 2026

What Is a CNN in Machine Learning?

The ability to see is something that machines do not have the capabilities to do. That was until convolutional neural networks opened up a whole new world of machine vision. With CNN's, machines can now examine and interpret the contents of an image. Today, some of the most common uses of this capability include security systems utilizing facial recognition for authentication purposes, cancer detection systems, self-driving vehicles and countless other examples that you may use every day without even thinking about it....

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Machine Learning MCQs
By Ravi | August 11th, 2026

Machine Learning Quiz (MCQs)

Preparing for your next Machine Learning interview? This Machine Learning MCQ list is your go-to resource. It includes the most frequently asked Machine Learning multiple-choice questions to test your proficiency, identify weak areas, and boost your skills...

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xgboost
By Ravi | August 11th, 2026

What is XGBoost?

XGBoost (short for eXtreme Gradient Boosting) is an advanced machine-learning technique based on boosting decision trees. It combines multiple weak learners into a single strong model in a way that is efficient for high predictive performance. It has become a go-to tool for many..

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What is Hugging Face
By Ravi | August 11th, 2026

What is Hugging Face?

Hugging Face is an open-source AI platform. It helps people in using, building and sharing ready-made machine learning models. It is especially known for understanding and working with human language. As someone who has been working in the field of...

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What is Neural Network
By Ravi | August 11th, 2026

What is Neural Network?

Most of us would first think of those interconnected layers in our brain, responsible for processing information. We’re not entirely wrong as this article covers something similar, the topic of ‘artificial’ neural networks which are interestingly inspired..

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machine learning operations
By Ravi | August 11th, 2026

What Is Machine Learning Operations?

Machine Learning Operations, popularly referred to as MLOps, is something that you should learn if you wish to enjoy a bright career in the tech world. It is a strategic approach to ML model development. Its goal..

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CatBoost
By Ravi | August 11th, 2026

CatBoost in Machine Learning

If you have ever worked with a real-world dataset, you know the pain. Your data has columns like "city," "product category," or "job title," and most machine learning algorithms do not know what to do with them. You end up spending hours encoding...

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What Is a Confusion Matrix in Machine Learning?
By Ravi | June 29th, 2026

What Is a Confusion Matrix in Machine Learning?

You have trained a machine learning model. It looks great on paper. The accuracy is 95%. You are ready to deploy it....

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