Machine Learning

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Bias and Variance in Machine Learning

Bias and Variance in Machine Learning

The concepts of bias and variance in Machine Learning are two crucial aspects in the realm of statistical modelling and machine learning. Understanding these concepts is paramount for any data scientist, machine learning engineer, or researcher striving to build robust and accurate models. In this article, we will explore the definitions, differences, and impacts of…

Algorithmic Bias and How to Avoid It- A Complete Guide

Algorithmic Bias and How to Avoid It- A Complete Guide

The following blog is a complete guide on Algorithmic Bias- What is it and How to Avoid it?, helping you learn about bias in Machine Learning. What is Algorithmic Bias? Algorithmic Bias refers to the presence of unfair or discriminatory outcomes produced by algorithms or machine learning models due to biased data or design choices….

A Guide to Unsupervised Machine Learning Models | Types | Applications

A Guide to Unsupervised Machine Learning Models | Types | Applications

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. It allows computers to acquire knowledge and make predictions or decisions without being specifically programmed. It entails developing computer programs that can improve themselves on their own based…

Basic Tutorial to TensorFlow in Machine Learning [With Example]

Basic Tutorial to TensorFlow in Machine Learning [With Example]

The surge of technologies like Machine Learning has revolutionized the way we solve complex problems. It also promotes intelligent decision making. The surge of deep learning, frameworks like TensorFlow have emerged as powerful tools. It ensures effective implementation and deployment of Machine Learning models. In this comprehensive guide, we will be unfolding details of TensorFlow,…

Unfolding the Details of Hive in Hadoop

Unfolding the Details of Hive in Hadoop

Today companies are massively relying on data-driven decision-making processes. However, the pace at which data is being created daily has triggered the demand for quick analysis tools. Managing and analyzing massive amounts of data has become crucial for organizations. Here comes the role of Hive in Hadoop.  Hive is a powerful data warehousing infrastructure that…

Bagging vs Boosting in Machine Learning: All You Need To Know

Bagging vs Boosting in Machine Learning: All You Need To Know

Machine Learning is an evolving field. It has led to searching for developments that have transformed the industry. Among the different techniques used in Machine Learning, it also incorporates creating algorithms and models that can learn from the data, improvise and make decisions. Bagging and Boosting are other popular techniques used in Machine Learning. These…

What is Hadoop and How Does It Work?

What is Hadoop and How Does It Work?

Hadoop has become a highly familiar term because of the advent of Big Data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. However, understanding Hadoop can be critical and if you’re new to the field, you should…

Top 8 Fascinating Applications of Deep Learning You Should Know

Top 8 Fascinating Applications of Deep Learning You Should Know

The world of AI, ML and Deep learning continues to evolve and expand. With the significant rise in its application of Deep Learning and allied technologies, across the business spectrum, it has laid the foundation stone for a new future.  From automated cars, to robots being your friend, these are no more a part of…

Decision Tree Classification- A Guide to Supervised Machine Learning Algorithm

Decision Tree Classification- A Guide to Supervised Machine Learning Algorithm

One of the most popular algorithms in Machine Learning are the Decision Trees that are useful in regression and classification tasks. Decision trees are easy to understand, and implement therefore, making them ideal for beginners who want to explore the field of Machine Learning. The following blog is a guide to Decision Tree Machine Learning,…

Difference Between Underfitting and Overfitting in Machine Learning

Difference Between Underfitting and Overfitting in Machine Learning

Machine learning empowers the machine to perform the task autonomously and evolve based on the available data. However, while working on a Machine Learning algorithm, one may come across the problem of Underfitting or overfitting. Both these aspects can impact the performance of the Machine Learning model. Hence, in this blog, we are going to…