Machine Learning is a broad subject in various fields to study. It takes an intense amount of time and energy to gain the knowledge required to become a Machine Learning Professional . ML experts are one of the most desired and respected job profiles in the world today.
· Technology has completely altered the way people live and experience their life. Almost everything online is run by Machine Learning today. · Machine learning is the learning of Computer Algorithms that improve automatically through its experience. · Machine Learning is used in every software, Web-platform, Search Engine, and in every Application/Device in this age of science and technology. · Due to its advanced uses, there is a lot of demand in companies for people who are experts in Machine Learning. · More than 80% of employees in tech companies are working on Machine Learning algorithms and its application in a variety of domains, thereby working on large-scale, dynamic data.
This "Deep Learning vs Machine Learning vs AI vs Data Science" video talks about the differences and relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
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
A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start?
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Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.