大数据-嵌入式视频-单片机培训-视频教程-EEWORLD Training

Training

Big data machine learning (Yuan Chun)

Machine LearningBayesianBig Data

The "Big Data Machine Learning" course is a basic theoretical course for senior undergraduates or graduate students in the information discipline. The purpose is to cultivate students to have an in-depth understanding of the theoretical basis of big data machine learning, a firm grasp of big data machine learning methods, and the ability to solve practical problems. and other comprehensive abilities. The main contents of the course include: basic theories of statistical learning, basic methods of machine learning, and deep learning theories and methods.

Total of 113 lessons15 hours and 39 minutes and 33 seconds

Large-Scale Data Processing and Cloud Computing Peking University

cloud computingBig Data

Cloud computing is a model for the addition, use, and delivery of Internet-based services, usually involving the provision of dynamically scalable and often virtualized resources over the Internet. Cloud is a metaphor for network and Internet. In the past, cloud was often used to represent telecommunications networks in diagrams, and later it was also used to represent the abstraction of the Internet and underlying infrastructure. Cloud computing in the narrow sense refers to the delivery and usage model of IT infrastructure, which refers to obtaining the required resources through the network in an on-demand and easily scalable manner; in the broad sense cloud computing refers to the delivery and usage model of services, which refers to the on-demand and easily scalable manner through the network. way to get the services you need. Such services can be IT, software, Internet-related, or other services. It means that computing power can also be circulated as a commodity through the Internet.

Total of 15 lessons5 hours and 4 minutes and 13 seconds

Live replay: [Arrow] Application of TI Sitara series chips in big data products

OFA veilprocessorBig Data

Application of TI Sitara series chips in [big data] products

Total of 1 lessons35 minutes and 35 seconds

big data algorithm

algorithmBig Dataparallel

The course of Big Data Algorithms aims to teach students some basic algorithm design ideas on big data, including probabilistic algorithms, I/O efficient algorithms and parallel algorithms, so that students can be exposed to algorithm design and analysis that are different from traditional algorithm courses. ideas, and is guided by the latest research results, so that students participating in this course can understand the cutting-edge knowledge of big data algorithms. Through the study of this course, students can master the basic ideas of big data algorithm design, and through the homework of this course, master the technology of big data algorithm design and analysis.

Total of 35 lessons7 hours and 35 minutes and 52 seconds