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When to use Deep Learning vs Machine Learning Models?
In this post, you will learn about when to go for training deep learning models from the perspective of model…
Author Ajitesh Kumar
Ajitesh Kumar
I have been recently working in the area of Data Science and Machine Learning / Deep Learning. In addition, I am also passionate about various 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. I would love to connect with you on Linkedin.
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Most Common Types of Machine Learning Problems
In this post, you will learn about the most common types of machine learning (ML) problems along with a few…
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Historical Dates & Timeline for Deep Learning
This post is a quick check on the timeline including historical dates in relation to the evolution of deep learning. Without…
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Machine Learning Techniques for Stock Price Prediction
In this post, you will learn about some of the popular machine learning techniques in relation to making stock price…
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Machine Learning – Why use Confidence Intervals?
In this post, you will learn about the concepts of confidence intervals in relation to machine learning models and related concepts…
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Great Mind Maps for Learning Machine Learning
In this post, you will get to look at some of the great mind-maps for learning different machine learning topics.…
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Different Types of Distance Measures in Machine Learning
In this post, you will learn different types of distance measures used in different machine learning algorithms such as K-nearest neighbours, K-means etc.…
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Introduction to Algorithms & Related Computational Tasks
In this post, you will be introduced to some of the important class of algorithms and related computational tasks which…
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Hold-out Method for Training Machine Learning Models
In this post, you will learn about the hold out method used during the process of training machine learning model.…
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Machine Learning Terminologies for Beginners
When starting on the journey of learning machine learning and data science, we come across several different terminologies when going…
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Bias & Variance Concepts & Interview Questions
In this post, you will learn about the the concepts of bias & variance in relation to the machine learning (ML)…
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Machine Learning Free Course at Univ Wisconsin Madison
In this post, you will learn about the free course on machine learning (STAT 451) recently taught at University of…
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Overfitting & Underfitting Concepts & Interview Questions
In this post, you will learn about some of the key concepts of overfitting and underfitting in relation to machine…
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Reinforcement Learning Real-world examples
In this post, you will learn about some real-world / real-life examples of Reinforcement learning, one of the different approaches to machine…
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Starting on Analytics Journey – Things to Keep in Mind
This post highlights some of the key points to keep in mind when you are starting on data analytics journey. You…
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MIT Free Course on Machine Learning (New)
In this post, the information regarding new free course on machine learning launched by MIT OpenCourseware. In case, you are a beginner data scientist or ML…