[SOLVED] CS Java SQL database chain algorithm LECTURE 1 TERM 2:

LECTURE 1 TERM 2:
MSIN0097
Predictive Analytics
A P MOORE

DATA-PATTERN-ALGORITHM-MODEL

TYCHO BRAHE 1546 1601

A VARIATION OF THE DIKW PYRAMID

DATA
A manipulable representation of a past state of (part of) the world
Minimum useful set of actions:
create
store (persist)
copy (replicate)
alter (mutable)
destroy

DATA TECHNOLOGIES
8000 BCE 3000 BCE 0 BCE

INFORM ATION PHAISTOS DISK
It is generally agreed that there is not enough context available for a meaningful analysis
Source: https://en.wikipedia.org/wiki/Phaistos_Disc

INFORMATION TECHNOLOGIES

INFORMATION TECHNOLOGIES
mid 1950s
1990s
2010s
Mainframes
Databases
Networks
Servers
Software
Operating Systems Programming languages
SQL
is it in the database
Internet Website
Java
TCPIP
SMTP
HTTP (DOM) URLs
HTML (CSS) JSON
Browsing
Blogging
Search Google
is it in on the web
Blockchain Consensus algorithm Distributed ledgers Oracles
Digital wallet Transaction blocks
Identities
Titles
Smart contracts Digital ownership
is it linked to the blockchain
is it on chain

DATA-PATTERN-ALGORITHM-MODEL

PAT TERNS OBSERVATION IS THEORY LADEN
What am I looking for? What is describable? What can I explain? Correlation? Causation?
Utility?

GESTALT PHYCOLOGY

GESTALT PHYCOLOGY

MINDS EYE

The name Bear is Homeric, and apparently native to Greece, while the Wain tradition is Mesopotamian. Book XVIII of Homers Iliad mentions it as the Bear, which men also call the Wain.[10] In Latin, these seven stars were known as the Seven Oxen (septentriones, from septem triones).[11]Classical Greek mythography identified the Bear as the nymph Callisto, changed into a she-bear
by Hera, the jealous wife of Zeus.
Source: Wikipedia

DATA-PATTERN-ALGORITHM-MODEL

MODELS

ALL MODELS ARE WRONG BUT SOME ARE USEFUL
Sun
The Sun is big:
You can fit 1.3m Earths inside the Sun
Source: Jason Major
Ear th

MODELS

MODELS

MODELS

MODELS

MODELS

MODELS

ALL MODELS ARE WRONG THE ROLE OF EXPLANATORY POWER
https://twitter.com/ZonePhysics/status/1156293511790112768

MODELS IN MACHINE LEARNING

MACHINE LEARNING BR ANCHES
We know what the right answer is
We dont know what the right answer is but we can recognize a good answer if we find it
We have a way to measure how good our current best answer is, and a method to improve it
Source: Introduction to Reinforcement Learning, David Silver

LECTURE 1 TERM 2:
MSIN0097
Predictive Analytics
A P MOORE