TAG machine learning
Become Machine Learning Engineer
Are you interested in becoming a machine learning engineer, the path to becoming a engineer in this field can be an exciting and rewarding one. Machine learning engineers work with artificial intelligence […]
Genetic Algorithm in Machine Learning
Current methods in machine learning provide approaches for solving challenging, multiple constraint design problems. While neural networks methods have state-of-the-art performance, their vulnerability in decision making processes leading to irrational outcomes is […]
Deep Learning vs Machine Learning
This post provides a guide about Deep Learning vs. Machine Learning. This advanced technologies is widely expected to revolutionize businesses across industries. The terms machine learning, and deep learning are often used […]
Skills for Data Scientist
Data scientists use data and algorithms to forecast outcomes. The insights that they uncover, are used in business decisions to help drive profitability or innovation.The most important skills data scientists need are […]
Naive Bayes Algorithm
In a world of Artificial Intelligence, Classification and Prediction is one the most important aspects of Machine Learning and Naive Bayes is a simple but surprisingly powerful algorithm for predictive modelling, according […]
Mini Batch K-Means Algorithm
What is Clustering? Unsupervised clustering algorithms are commonly used in areas such as genomics, machine learning, pattern recognition, and data compression to divide a set of unlabeled observations into separate groups with […]
Data Cleaning in Machine Learning
The big problem data scientist face today is dirty data. Today data scientists often end up spending times cleaning and unifying dirty data before they can apply any analytics or machine learning. […]
Bias and Variance in Machine Learning
Machine learning allows machines to perform data analysis and make predictions. However, if the machine learning model is not accurate, it can make predictions errors, and these prediction errors are usually known […]
Simple and Multiple Linear Regression
Regression analysis is a common statistical method mainly used in economic. There are several main reasons people use regression analysis: There are many different regression analyses. For the purpose of this post, […]
K-Mean Clustering Algorithm
K-Means Clustering is an unsupervised learning algorithm. It is a simple and elegant approach used to solve the clustering problems in machine learning. What is Clustering? Clustering is the task of segmenting […]
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