Search result for Mathematics for machine learning specialization Online Courses & Certifications
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Browser-based Models with TensorFlow.js
by Laurence Moroney- 4.7
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Approx. 17 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow....
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. These practice exercises will teach you how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e....
Device-based Models with TensorFlow Lite
by Laurence Moroney- 4.7
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Approx. 10 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. This second course teaches you how to run your machine learning models in mobile applications....
AI for Medical Prognosis
by Pranav Rajpurkar , Bora Uyumazturk , Eddy Shyu- 4.7
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Approx. 30 hours to complete
This Specialization will give you practical experience in applying machine learning to concrete problems in medicine. Machine learning is a powerful tool for prognosis, a branch of medicine that specializes in predicting the future health of patients. This course focuses on tree-based machine learning, so a foundation in deep learning is not required for this course....
Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
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Approx. 31 hours to complete
This course is for students of machine learning or artificial intelligence as well as software engineers looking for a deeper understanding of how NLP models work and how to apply them. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Setup for Machine Translation...
Machine Learning for All
by Dr Marco Gillies- 4.7
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Approx. 22 hours to complete
Machine Learning has a reputation for being one of the most complex areas of computer science, requiring advanced mathematics and engineering skills to understand it. NB this course is designed to introduce you to Machine Learning without needing any programming. Welcome to Machine Learning for All Interview: Advice for your first Machine Learning Project Preparing for your machine learning project...
Structuring Machine Learning Projects
by Andrew NgTop Instructor , Younes Bensouda MourriTop Instructor , Kian KatanforooshTop Instructor- 4.8
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Approx. 6 hours to complete
By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge....
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Natural Language Processing with Probabilistic Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.7
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Approx. 28 hours to complete
b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is important for computational linguistics, Please make sure that you’re comfortable programming in Python and have a basic knowledge of machine learning, matrix multiplications, and conditional probability. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Architecture for the CBOW Model...
Machine Learning
by Andrew NgTop Instructor- 4.9
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Approx. 61 hours to complete
Machine learning is the science of getting computers to act without being explicitly programmed. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Advice for Applying Machine Learning Advice for Applying Machine Learning Data For Machine Learning...
Learn Data Science -Statistics,Machine Learning & NLP-Python
by Srini E- 0.0
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20 hours on-demand video
Learn Data Science from the basics of Statistics, Mathematics ,Machine Learning & NLP with Python This Course is designed for Beginners to start learning/Understanding Data Science from the basics of Mathematics , Statistics, Machine Learning , NLP (Text Mining) & Deep Learning using Python Programming Language....
$12.99
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