What is a Tensor Processing Unit? With machine learning gaining its relevance and importance everyday, the conventional microprocessors have proven to be unable to effectively… Read More
Category Archives: Machine Learning
Deep learning is a branch of machine learning which is based on artificial neural networks. It is capable of learning complex patterns and relationships within… Read More
Data Mining: Data mining in general terms means mining or digging deep into data that is in different forms to gain patterns, and to gain… Read More
Data cleaning is one of the important parts of machine learning. It plays a significant part in building a model. It surely isn’t the fanciest… Read More
Data science deals with identifying, representing and extracting meaningful information from data sources to be used to perform some business logics.The data scientist uses machine… Read More
With this article be ready to get your hands dirty with ML algorithms, concepts, Maths and coding. To work with ML code, libraries play a… Read More
Pattern is everything around in this digital world. A pattern can either be seen physically or it can be observed mathematically by applying algorithms. Example:… Read More
Data Processing is the task of converting data from a given form to a much more usable and desired form i.e. making it more meaningful… Read More
Unsupervised Learning: Unsupervised machine learning analyzes and clusters unlabeled datasets using machine learning algorithms. These algorithms find hidden patterns and data without any human intervention,… Read More
Let us discuss what is learning for a machine is as shown below media as follows: A machine is said to be learning from past… Read More
Data is a crucial component in the field of Machine Learning. It refers to the set of observations or measurements that can be used to… Read More
Arthur Samuel, a pioneer in the field of artificial intelligence and computer gaming, coined the term “Machine Learning”. He defined machine learning as – a… Read More
Prerequisite : Introduction to Dimensionality Reduction Dimensionality reduction is the process of reducing the number of random variables under consideration, by obtaining a set of… Read More
Reinforcement learning is an area of Machine Learning. It is about taking suitable action to maximize reward in a particular situation. It is employed by… Read More
Introduction : Machine learning and artificial intelligence are two closely related fields that are revolutionizing the way we interact with technology. Machine learning refers to… Read More
