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…
Rahul Kumar
Data Processing in Machine Learning
What Is Data Processing? Data Processing is the process of transforming and manipulating raw data to meaningful insights for effective use in business purposes. It requires different techniques and activities including organising, analysing and extraction of valuable information. Data Processing is done in both manual and automated manner, depending on the type of complexity in…
Asmita Kar
Classification vs. Clustering
Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification. Certainly, these predictions and classification help in uncovering…
How does Facebook use Big Data?
Data, analytics, AI, and robotics, today, the tech discussions revolve around these topics. With the significant development technology has made in our life, it has also brought forth some interesting insights. One of them is the large volume of data that we are creating every day. Facebook, which brought the social media revolution, generates around…
Tarun Chaturvedi
L1 and L2 Regularization in Machine Learning
Machine Learning is the area where computers are given the ability to learn without being explicitly programmed. Accordingly, it is one of the most exciting technologies that allows computers to think and work like humans, especially having the ability to learn. One of the most effective strategies of Machine Learning is Regularization that avoids overfitting….
Machine Learning Engineer Salary in India
Machine Learning is the part of Artificial Intelligence and computer science that emphasizes on the use of data and algorithms, imitating the way humans learn and improving accuracy. Machine Learning is becoming increasingly popular and crucial in today’s market for effective productivity and decision-making processes. Moreover, pursuing a career in Machine Learning may open myriad…
How to learn Machine Learning for free?
Machine Learning is one of the transforming technologies that has had a ripple effect across the industry domain. ML forms the underlying platform for several new developments. Hence, it has also triggered the demand for ML experts. Acquiring Machine Learning skills can have catalytic impact on your professional growth. However, if you are new to…
Aishwarya Kurre
Supervised learning vs Unsupervised learning
Machine Learning is a crucial part of today’s business world, where technological integration plays a vital role in performing different business functions. Accordingly, Machine Learning allows computers to learn and act like humans by providing data. Apparently, ML algorithms ensure to train of the data enabling the new data input to make compelling predictions and…
An Introduction to Natural Language Processing (NLP)
Have you ever wondered how robots work just like human beings? It involves the processing of information and following commands is in the same line as that of the human brain. Do you know what powers this human-like operation? Well, it’s Natural Language Processing which equips the machines to work like a human. But there…
Neha Singh
Challenges of Big Data
Data is transforming the world and industries across the globe. The revolutionary change the data has brought has sent a ripple effect across the industry spectrum. Dealing with a large volume of structured and unstructured data requires meticulous work and precision. Data scientists and Big Data analytics work rigorously to derive useful insights. And for…