What is Machine Learning?
Machine learning is a type of Artificial Intelligence
(AI) allowing software applications to learn from data that helps in becoming
more accurate in predicting the outcomes without the involvement of humans.
Machine learning is a concept that learns from past experiences & examples
and all this is done with the help of different tools. There are three types of
machine learning; Supervised Learning, Unsupervised Learning, and Reinforcement
Learning.
What are the different tools of Machine Learning?
1.
SCIKIT LEARN
· SciKit learn is exactly not a tool but a
library. It is a free software machine learning library which is used for
Python programming language is a simple and efficient tool for data
analysis & data mining built on NumPy, SciPy, and Matplotlib.
· SciKit provides a wide range of supervised and
unsupervised algorithms of learning in python language like classification,
regression, clustering, reduction and much more.
2. KNIME
· Knime stands for Konstanz Information Miner.
Knime is a free and an open-source data analytics, reporting, and integration
platform.
·
Knime is built for powerful analytics which is
based on a GUI workflow.
3. TENSOR FLOW
· TensorFlow is one of the best machine learning
libraries created by Google which is an open-source file for numerical
computation and large scale machine learning. In Artificial Intelligence (AI)
TensorFlow emerges as a winner most of the time.
· TensorFlow provides accessible and readable
syntax which is essential for making the programming resources easier.
4.
WEKA
· Weka is an open-source Java software that has a
collection of machine learning algorithms for performing the data mining and
data analysis tasks
· Weka is the most powerful machine learning tool
that understands & visualizes the algorithms of machine learning on a local
machine.
· Weka has two types of interfaces; graphical
interface and command-line interface.
5. PyTorch
· Pytorch is the biggest rivalry of TensorFlow.
Pytorch is a library based on python which is built for providing the
flexibility as a deep learning deployment platform. Pytorch is actively used by
Facebook.
6.
RAPID MINER
· Rapid miner is a data science platform for teams
that unites the data preparations, machine learning and predictive model
deployment.
· Rapid miner has a powerful and robust graphical
user interface.
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