Scikit-learn is a free machine learning framework available for Python, providing an interface for supervised and unsupervised learning. Its free nature makes it more popular and accessible.
In this article, we will be discussing those 10 most common misconceptions that are so popular that every one of us must have come across at least once in our ML journey.
To learn any new concept, we must know how exactly that started. Every computer science field has a different history, reflecting the struggle that earlier researchers faced and made our journey easy. This article will discuss the 10 most interesting historical facts considered the turning points for machine learning.
In this blog, we will try to make our computers ready for machine learning practicals. There are various ways to make computer systems AI-enabled, but in this blog, we will try the most preferred and easy-to-use method, i.e., Python3 with Sublime Text 3. Overview of the blog: Installation Of Python3 on Windows, Linux & Mac, Installation of Sublime Text 3 on Windows, Linux & Mac, Installation of pip/pip3, Installation of Numpy, Scipy, Pandas, Installation of Machine Learning Framework, Installation of Deep-learning Framework, Installation of a Visualisation tool.
In this article, we will try to give the 5 most important reasons that justify the need for knowledge of DS Algo in the field of Data Science & Machine Learning or Deep-Learning.
In this article, we will try to find the answer to another most critical question in machine learning and artificial intelligence - How exactly the machine learns?
In this blog one can find the definitions of all the terms which are related to machine learning. We would suggest to pin this blog for quick revision.
Machine Learning and Artificial Intelligence are some of the hottest topics that can ensure a brighter future for any individual in the upcoming decade.
In starting, Machine Learning or Artificial intelligence may be a buzzword to many who are curious but don’t know where to get started. To start with, Machine Learning may seem like a formidable task, especially if one lacks a certain background.
We will answer the basic questions related to the fundamentals of machine learning: 1) What is Machine Learning? Then, why do we need Machine Learning? Finally, where can we use Machine Learning?
