Top 5 Machine Learning Algorithms to learn in 2021 | Machine Learning Tutorial

Top 5 Machine Learning Algorithms to learn in 2021 | Machine Learning Tutorial

Great Learning brings you this live session on "Top 5 Machine Learning Algorithms to Learn in 2021". In this session, we will start by discussing the importance of Machine Learning algorithms and their usage in 2021 and beyond. We understand Machine Learning, a subset of Artificial Intelligence, as a computer being programmed with the ability to self-learn and improve itself on a particular task. With changing trends in technology, it is vital that you understand Machine Learning concepts and especially the algorithms that form a major basis of this domain. The session will delve into the practicality of understanding popular ML algorithms such as Linear Regression, Naive Bayes, KNN Algorithm, Support Vector Machines and Decision Trees. With the knowledge of these algorithms, it becomes simple to understand the working of Machine Learning as a whole. Added to this, the SME also teaches these concepts by carrying out simultaneous demonstrations during the live session.

Great Learning brings you this live session on "Top 5 Machine Learning Algorithms to Learn in 2021". In this session, we will start by discussing the importance of Machine Learning algorithms and their usage in 2021 and beyond. We understand Machine Learning, a subset of Artificial Intelligence, as a computer being programmed with the ability to self-learn and improve itself on a particular task. With changing trends in technology, it is vital that you understand Machine Learning concepts and especially the algorithms that form a major basis of this domain. The session will delve into the practicality of understanding popular ML algorithms such as Linear Regression, Naive Bayes, KNN Algorithm, Support Vector Machines and Decision Trees. With the knowledge of these algorithms, it becomes simple to understand the working of Machine Learning as a whole. Added to this, the SME also teaches these concepts by carrying out simultaneous demonstrations during the live session.

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Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science

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.

Data Science With Python Training | Python Data Science Course | Intellipaat

🔵 Intellipaat Data Science with Python course: https://intellipaat.com/python-for-data-science-training/In this Data Science With Python Training video, you...

Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.