Machine Learning — An Introduction. Gain a solid understanding of Machine Learning, its algorithms, and use cases
At present day, the emerging field of Artificial Intelligence has become the biggest hype for the current generation. AI is a vast ocean in computer science and not only deals with mere things in computer science, but it covers a whole bunch of stuff like Image Processing, NLP, Summarization, Computer Vision, etc. To hail the whole concept of Artificial Intelligence, there has to be strong equipment to strengthen the base ideology of Statistics and Probability for accurate decisions. And here’s where computer scientists coined the term ‘Machine Learning’.
Every understanding starts with a definition. _‘Machine Learning is a subfield of computer science that gives computers the ability to learn without being explicitly programmed’. _This definition is brought by Arthur Samuel who first coined the term Machine Learning while working at IBM. It states that Machine Learning is a subfield of computer science that can be used to train or teach a computer to learn itself without being programmed in a precise manner.
The first and foremost important advantage of Machine Learning (ML) is that it doesn’t need to be programmed in a highly efficient manner and they can be taught like how humans teach a four-year-old child. This advantage was loved by computer scientists and data scientists as they were able to manage their work and time efficiently. Another important advantage of ML is that they can improve their skills over time by powerful algorithms.
8 Machine Learning Resources to Learn Data Structures and Algorithms. Before we start, most of these machine learning resources do assume a basic knowledge of at least one programming language. You don’t need to be an expert by any means! You just need the programming basics. If you have never written code before, you may want to bookmark this article and return to it later.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
Machine Learning Pipelines performs a complete workflow with an ordered sequence of the process involved in a Machine Learning task. The Pipelines can also
AutoML makes the power of a Machine Learning algorithm available to you even if you don't have the complete knowledge of Machine Learning.You can use AutoML