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Description: Machine Learning Deployment covers the fundamental concepts, methodology and practical tools necessary to turn machine learning models into products that generate value. This module combines modern machine learning and software engineering development and teaches how to design, build and maintain end-to-end machine learning production systems, both on-device and served by cloud platforms. The conceptual and practical skills learned in Machine Learning Deployment will allow students to create machine learning based products that solve real-world problems.
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Making Theatre and PerformanceEnglish and DramaDRA124Semester 14NoMaking Theatre and Performance
Item 1: 40.00% Assessed CourseworkItem 2: 20.00% PracticalItem 3: 20.00% PracticalItem 4: 20.00% PracticalLevel: 4
I hope this takes care of everything for you today, Vinod. I am going to close this ticket, but if you have any further questions or concerns please feel free to reach out to us again. We are here for you! How do I cancel this I already got taken for over $1000.00 because you cant cancel the pwa as no one calls you back ..they say leave email but no one calls or answer your request.... Hi Robert. I was looking to do one of these courses. Omg sounds like you have had a nightmare. This company is greedy and steals from his customers. That's how he made his money because he doesn't give refunds to people who don't believe in his products. That's not good business
Catchment Science in PracticeGeographyGEG7318Full year7NoCatchment Science in Practice
If you have any questions about this program or maybe you can offer an experience, feel free to leave them in the comment box below.
Partner with Anthony will not equip you with the knowledge and skills to set up your own affiliate marketing business in any niche you like.
Description: This module will compare the forms and functions of various financial markets, and develop an understanding of how financial managers use these markets to attain corporate goals. As increasingly complex relation between financial institutions and financial markets has evolved over a period of time, this module will also analyse various sophisticated and complex financial instruments used, and establish a framework of how different forms of financial institutions operate to manage financial risks.
Multi- and inter-disciplinaritySBM_6_ACellular Pathology and Blood ScienceBiological and Chemical SciencesBMD321Semester 26NoCellular Pathology and Blood Science
Health Data in PracticeSchool of Medicine and DentistryIPH7111Semester 17NoHealth Data in Practice
Electromagnetic Radiation in AstrophysicsPhysics and AstronomySPA7006PSemester 27YesElectromagnetic Radiation in Astrophysics
Numbers, Sets and FunctionsMathematical SciencesMTH4213Semester 14NoNumbers, Sets and Functions
Description: This module encourages students to analyse representations of race and racism within European culture from the Middle Ages to the present. It engages with a variety of sources (literary, historical, material, and visual) and draws on evidence from a range of European traditions (such as French, German or Spanish) to explore these representations. It mobilises key critical theories that relate to these issues
Description: This course should appeal to those students wishing to understand some of the more commonly used statistical machine learning methods in finance. Many of these methods have been available for some time with practical usage increasing as available computing power has become more widespread. The course will also introduce students to the use of R. R is a free software environment for statistical computing and graphics that implements all of the machine learning methods explored during the course
Project Management for Big Data AnalysisElectronic Engineering and Computer ScienceECS7015WSemester 17NoProject Management for Big Data Analysis
As a result, many people lose interest in this platform and wouldn’t recommend this to a friend.