renato
31 mayo 2019, 16:25
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Coursera - Machine Learning (University of Washington)
WEBRip | English | MP4 | 960 x 540 | AVC ~346 kbps | 30.835 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~26 hours | 5.26 GB
Genre: eLearning Video / Data Clustering Algorithms, Machine Learning
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval.
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval.You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
High performance programming is also an important aspect of high performance scientific computing, and so another main theme of the course is the use of basic tools and techniques to improve your efficiency as a computational scientist.
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Coursera - Machine Learning (University of Washington)
WEBRip | English | MP4 | 960 x 540 | AVC ~346 kbps | 30.835 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~26 hours | 5.26 GB
Genre: eLearning Video / Data Clustering Algorithms, Machine Learning
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval.
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval.You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
High performance programming is also an important aspect of high performance scientific computing, and so another main theme of the course is the use of basic tools and techniques to improve your efficiency as a computational scientist.
https://i110.fastpic.ru/big/2019/0528/32/7fee6c25c9a79022d85d4218c0afa032.jpg
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Download ( Rapidgator )
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