Introduction to Data Science, Machine Learning and AI. Data Science, Machine Learning and AI - Examples. Data Science, Machine Learning and AI - Applications. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.
Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Data Science, Machine learning, and AI are behind these innovations. In recent times, it has been proven that machine learning and ai approaches to solving a problem give far better accuracy than other approaches.
The agenda for this webinar is:
Please Note: This is the first and the only free session of our Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT Roorkee
Here is the link for Git repository - https://github.com/girisandeep?tab=repositories
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.
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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.
What is the difference between machine learning and artificial intelligence and deep learning? Supervised learning is best for classification and regressions Machine Learning models. You can read more about them in this article.
7 Types of Data Bias in Machine Learning. Data bias can occur in a range of areas, from human reporting and selection bias to algorithmic and interpretation bias.