Scikit-learn is a free machine learning framework available for Python, providing an interface for supervised and unsupervised learning. It is built over the SciPy library and provides every feature catering to every ML requirement. In this blog, we will learn the essential concepts, tools, and features related to Scikit-learn.
There are various ways to make our computers ML enabled for machine learning projects. In this blog, we will try the most preferred and easy-to-use method, i.e., Python3 with Sublime Text 3. Python is the most preferred language for ML tasks, and sublime text 3 is the code editor to write ML codes.
Many learners want to master Machine Learning and don’t know where to start. It seems like a formidable task, especially if one lacks a thorough background. This article will discuss some of the factors that can be obstacles in learning machine learning. Working around these obstacles can help us master and develop a long-term interest in this subject.
Machine learning is the science of getting computers to act without being explicitly programmed. Here computer takes Data and Output as its input parameters and tries to produce the best suitable function that maps Data to Outputs. The machine learns a mapping function that maps the input data to the output using existing experiences.
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 a new subject, we should try to know how exactly that started. Every computer science field has a different history, reflecting the challenges that earlier researchers faced and making our journey easy. This article will discuss the 10 most interesting historical facts considered the turning points in AI and Machine Learning history.
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?
This is a glossary of Machine Learning terms commonly used in the industry. We will add more terms related to machine learning, data science, and artificial intelligence in the coming future. Meanwhile, if you want to suggest adding more terms, please let us know.
Machine Learning and Artificial Intelligence are some of the hottest topics that can ensure a brighter future for any individual in the upcoming decade.
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?
Subscribe to get free weekly content on data structure and algorithms, machine learning, system design, oops design and mathematics.