A beginner's introduction to the Top 10 Machine Learning (ML) algorithms, complete with figures and examples for easy understanding.
Source: Kdnugget
19440
Deep Learning is not very interpretable, and this makes it undesirable in cases where it is important to understand why a deep learning model is making certain predictions. Deep Learning will not replace traditional Machine Learning, they will live side by side. Deep Learning only adds the capability to bring low quality data into the fold, it self-learns rich features, and turns low quality data, like pixels and sound samples, into high quality features, which it then feeds into traditional machine learning. In fact, Deep Learning actually has normal machine learning as part of its pipeline.
Source: HOB8466
Decision Tree Algorithm is a part of supervised Machine Learning Algorithm. This algorithm is used for solving regression and classification problems just like other algorithms. This algorithm is basically used to predict the value from the passed trained data by applying learning decision rules. This is the most powerful algorithm among all as this algorithm can be easily visualized and understandable by the humans.
Source: HOB18114
Machine Learning algorithms enable software applications to predict more accurately outcomes. Most of the organizations use top machine learning platforms to build the models that can receive data from the various sources.
Source: HOB15453
Password reset link has been sent to your mail
Thank you for your registration has been Successfully done.
