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The programme aims to produce data-analytic graduates to satisfy the rising desire for top-amount data science techniques and to get ready graduates to use data science procedures to know-how discovery and dissemination in organisational final decision-creating.

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one. *Pupils who've completed exactly the same programs inside their previous scientific studies in HKU, e.g. Master of Studies or Master of Science in Computer Science may well, on manufacture of appropriate transcripts, be permitted to choose around 36 credits of disciplinary electives from both Record A or Listing B higher than if they don't seem to be able to find any untaken possibilities from both of the lists of disciplinary electives.

This course covers the Highly developed concept of issue estimation, interval estimation and hypothesis testing. Using a mathematically-oriented method, the course provides a proper cure of inferential complications, statistical methodologies as well as their fundamental theory. It really is suitable particularly for college kids intending to even further their research or to produce a profession in statistical research. Contents contain: (1) Selection difficulty – frequentist technique: loss function; danger; choice rule; admissibility; minimaxity; unbiasedness; Bayes’ rule; (two) Selection issue – Bayesian technique: prior and posterior distributions, Bayesian inference; (3) Estimation theory: exponential family members; probability; sufficiency; minimum sufficiency; completeness; UMVU estimators; data inequality; massive-sample idea of utmost probability estimation; (4) Hypothesis screening: uniformly most powerful (UMP) exam; monotone likelihood ratio; UMP impartial test; conditional exam; massive-sample concept of probability ratio; self confidence set; (five) Nonparametric inference; bootstrap solutions.

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The supplies for basic topics might be offered for self-study, even though the Superior subjects are going to be released inside the lecture. Students are needed to be familiar with Python language.

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In this period of huge data, big data sets are created everyday in numerous places in Culture and business, including Web data, social community data and money transaction data. It can be difficult to investigate this unprecedentedly massive quantity of data and extract data from it.

Capturing and utilising important details from huge datasets poses each statistical and programming problems. This training course is created to equip college students with the elemental computing skills required to use Python for addressing these troubles.

  AI would be the science and engineering of making smart machines, In particular smart computer programs, although ML refers back to the adjustments in methods that execute duties related to AI. Ethical troubles in Superior AI and how to reduce Mastering algorithms from buying morally undesirable biases will likely be lined.

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