Role of Machine Learning in recognizing Handwriting
The basic concept of recognizing handwriting is based on the recognition of patterns. The most common handwriting patterns are alphabets and numbers. Such recognition systems may be used to recognize all types of writing. But, there must be a good reason for the usage of such recognition systems and these should be consistent and systematic….
Barbara
Quantile Regression in Machine Learning
What is Quantile Regression? Quantile regression is a way of statistical analysis that compares historical data points (data set size, number of data points, kind of data, etc.) to the expected outcome. The output from the analysis is what we want to measure and this can be used for all kinds of data analysis purposes:…
Model Evaluation Metrics in Machine Learning
Model evaluation metrics are important in the field of Machine Learning. Different types of models, such as supervised and unsupervised learning can be evaluated using these metrics. Evaluation is necessary in all Machine Learning methods to ensure that the models that have been trained to provide the desired output. It also enables a trainer to…
Models of Simplified Reinforcement Learning in Data Science
What is Simplified Reinforcement Learning? Reinforcement Learning in Data Science deals with models that can be used in the learning of reinforcement from a given reward to the next reward. Types of Simplified Reinforcement Learning Monopiece Model The most basic form of this is called the Monopiece Model. This form applies the concept of acting…
Charlotte
ML Algorithms in Python
The use of big data has made it possible for machine learning developers to leverage their existing programming skills in order to create new programs. Machine learning is a subset of computer science that refers to the study of software algorithms that yield useful results from relatively small amounts of data. Algorithms are very specific…
Importance of Data Mining in Big Data
Data Mining in Big Data is important due to the massive impact it has on businesses. Companies are leveraging their data to achieve a number of business goals, such as better customer service, efficient operations, and even better outcomes for products or services. But how does data mining help these companies? And how should data…
DBSCAN Clustering Algorithm
DBSCAN Clustering Algorithm is a complex algorithm that is used right from the early 1970’s . Its usage and popularity have grown over the years and it stands as one of the best algorithms that measures data processing. Traditional DBSCAN Clustered DBSCAN Benefits of DBSCAN The DBSCAN Clustering Algorithm is a highly complex DBSCAN application….
Generalized Linear Models
What are Generalized Linear Models? Generalized Linear models are models that assume a data set to be continuous and can be transformed into the original data set, in the form of a closed loop. The transformations include the normalization of the numerical values and constant terms. Generalized linear modeling is often used to create a…
Advantages of Machine Learning & Deep Learning
It is a dream for many computer scientists to live in a world where all the greatest discoveries of the past are made by using machine learning and deep learning. It sounds almost too good to be true, but these super-intelligent machines can actually perform much better than we human beings. In fact, some people…
Advantages of Data Cleaning
With the ever growing volumes of Information and Data, companies are moving towards Data Cleansing which has proved to be advantageous. With features like high productivity and affordability, Data Cleansing is surely a good option for business organizations to adopt. Increased & Improved Productivity Cost Reduction Less Loss of Data Cost Effective Increased Awareness Removal…