Building a Career in Data Science and Machine Learning. What is Machine Learning? What is Data Science? Why Data Science/Machine Learning? How the Machine Learning approach to solving problems is different from the Traditional Approach? Careers Paths in Data Science and Machine Learning. Overview of the Job Market. Brief overview of Various Degree and Advanced Certification courses offered by CloudxLab
If we look at the current trend in the market, it is very clear that every company is moving towards artificial intelligence. Every company is looking for problem solvers. Artificial Intelligence is used today in recognizing people (face recognition), detecting a threat, building a robot, or making an autonomous car.
Earlier, there used to be people who specialized in various fields Audio processing, video processing, Image Processing, etc. Today, all these branches are merging into AI.
The agenda for this webinar is:
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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 (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.
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
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In this tutorial on "Data Science vs Machine Learning vs Artificial Intelligence," we are going to cover the whole relationship between them and how they are different from each other.