What is Data Image Processing in Machine Learning ?
Data image processing is one of the most common things used in Machine Learning. Machine Learning deals with making the training and testing of software more specific, so that the results will be better and more repeatable. One of the ways that this is done is by making the training more specific. When you train…
BarbaraSignificance of Feature Selection in Machine Learning
What is Feature Selection? Feature selection in machine learning refers to the classification of data into multiple classes or features. The classification of data involves the decision to remove one class or feature, to add one class or feature, or to retain one class or feature. Essentially, it involves a trade-off between accuracy and speed….
What is Hyper Parameter Tuning in Machine Learning?
What is Hyper Parameter Tuning? In machine learning, tuning or hyper parameter optimization is the difficulty of picking a collection of optimal parameters for a model learning algorithm. A hyper Parameter is also called a model predictor, since its value is used as a starting point for the model learning algorithm. Unlike the normal parameters,…
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….
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…
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…
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…
Future of Machine Learning
The future of machine learning is here. This is the future of technology, and possibly the future of work. It’s hard to say what the future holds for these programs, as nobody can actually tell how things will evolve. Will we have computers that can remember everything that we have done? Or will we be…
Latest AI Tech you should know in 2021
When it comes to AI, the future is definitely not known yet. However, if you are a technology enthusiast, it is time that you became familiar with the latest AI technology that is out in the market today. It has been estimated that by 2021 there will be artificial intelligent computers that are as smart…
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