1 / 6

Machine Learning

Machine Learning is the science of teaching machines to learn and behave like people, and to refine their learning over time in an autonomous manner, using evidence and knowledge from experiments and real-world experiences.

learnbay_datascience
Download Presentation

Machine Learning

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Machine Learning

  2. introduction • Machine learning is a branch of artificial intelligence (AI) that allows computers to learn and develop on their own without having to be directly programmed. Machine learning is concerned with the development of computer programmes that can access data and learn on their own. • Some of the examples are Image Recognition. Image recognition is one of the most common uses of machine learning. Speech Recognition. Speech recognition is the translation of spoken words into the text.

  3. Types of Machine Learning • Supervised Learning Supervised learning describes a class of problem that involves using a model to learn a mapping between input examples and the target variable. Applications in which the training data comprises examples of the input vectors along with their corresponding target vectors are known as supervised learning problems.

  4. Types of Machine Learning • Unsupervised learning  It describes a class of problems that involves using a model to describe or extract relationships in data. Compared to supervised learning, unsupervised learning operates upon only the input data without outputs or target variables. As such, unsupervised learning does not have a teacher correcting the model, as in the case of supervised learning. In unsupervised learning, there is no instructor or teacher, and the algorithm must learn to make sense of the data without this guide. • Reinforcement Learning Reinforcement learning describes a class of problems where an agent operates in an environment and must learn to operate using feedback. Reinforcement learning is learning what to do — how to map situations to actions—so as to maximize a numerical reward signal. The learner is not told which actions to take, but instead must discover which actions yield the most reward by trying them.

  5. About Us • LearnBay is a Bangalore based Data Science Institute which is dedicated to help students , professionals to become Industry – ready in Data Science. LearnBay provides IBM Certificates in Data Science. • Our Key features are : • 200 + Hours of classroom sessions • Live classes with recording of all the classes • Flexibility in Scheduling classes • Class strength not more than 10 • Highly qualified trainers • 12+ Real time project and case studies • Job Assistance – Resume building, mock interview and job referrals • https://www.learnbay.in/

  6. Contact Us • Address : Learnbay,19/1,2nd Floor, Classic Aura(Beside Aricent),Marathahalli - Outer Ring Road,Kadubeesanahalli, Bengaluru, Karnataka • Email : contact@learnbay.in • Cell No :+918861279311

More Related