Today in this article I'll tell you all what's machine learning, what's the use of machine learning and what are the libraries present in python for Machine Learning.
So, I am Sachin here before you all with this new article on “The best python libraries for Machine Learning”. Also do follow my page for more such useful programming related content. So let's get started.
Machine Learning, as the name suggests, is the science of programming computer by which they are able to learn from different kinds of data. They are typically used to solve various types of life problems.
In the older days, people used to perform Machine Learning tasks by manually coding all the algorithms and mathematical and statistical formula.
Today, Python is one of the most popular programming languages for this task and it has replaced many languages in the industry, one of the reason is its vast collection of libraries.
Best Python libraries that are used in Machine Learning are:
NumPy: NumPy is a very popular python library for large multi-dimensional array and matrix processing, with the help of a large collection of high-level mathematical functions. It is very useful for fundamental scientific computations in Machine Learning. It is particularly useful for linear algebra, Fourier transform, and random number capabilities.
SciPy: SciPy is a very popular library among Machine Learning enthusiasts as it contains different modules for optimization, linear algebra, integration and statistics. There is a difference between the SciPy library and the SciPy stack. The SciPy is one of the core packages that make up the SciPy stack. SciPy is also very useful for image manipulation.
Scikit-learn: Scikit-learn is one of the most popular Machine learning library for classical ML algorithms. It is built on top of two basic Python libraries, viz, NumPy and SciPy. Scikit-learn can also be used for data-mining and data-analysis, which makes it a great tool who is starting out with ML.
Theano: We all know that Machine Learning is basically mathematics and statistics. Theano is a popular python library that is used to define, evaluate and optimize mathematical expressions involving multi-dimensional arrays in an efficient manner. It is achieved by optimizing the utilization of CPU and GPU. It is extensively used for unit-testing and self-verification to detect and diagnose different types of errors.
So, that's all for this article. Don't forget to like, comment and share. Also do follow my for such useful content. This is Sachin signing off will meet soon.
