seasonal, irregular & missing data: time series algorithm
34
linear model regression
35
generalized linear model glm
36
principal component analysis attribute importance
37
living doll
38
apriori / market based association rules
39
singular value decomposition feature extraction
40
principal component analysis feature extraction
41
in his image
42
number 12 looks like you 2020
43
sql analytics windows / patterns / aggregates
44
statistical functions in oracle partial list
45
ml ffunctions - oracle docs
46
autml is here for autonomous db
47
time enough at last for ml with automl
48
ml & ai - oracle's built-in algorithms
49
biju thomas at odtug
50
ml & business apps
51
applications - ai powered; analytics & ml
52
oracle genai
53
sql generation from natural language using llm
54
think of it as an assistant 60-70%
55
apex development speed- genai
56
genai writes the sql
57
what's next: a worldwide race to build ai
58
healthcare driving oracle to better ai products
59
oracle driving first responders with tesla
60
openai - ten years later... the baby talks!
61
generative ai - things to know...
62
chat gpt
63
google's bard
64
transformers - google, 2017
65
generative ai: gpt & chatgpt
66
chatgpt-4
67
oracle vector db
68
from juan loaiza interview
69
vecotr search
70
create table with vector data type & blob
71
retrieval augmented generation
72
answer detailed questions / supply manuals
73
ask question & reference document ai searches
74
from stanford paper
75
robots we grew up with... movie robots... closer to the future... today's robots
76
genai inside apex, sensors, robots... etc.
77
use oracle va with robots
78
db, ai & vr
79
a world of difference getting closer
80
the after hours future sentience issues ahead
81
the digital transformation ahead
82
digital - how did we go from magical to toxic?
83
gartner 2020 hype cycle
84
quantum computing makes ml fast enough!
85
3 types of ai
86
final thoughts
87
summary
88
thank you!
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Dive into a comprehensive conference talk on AI and Machine Learning fundamentals, exploring their applications and impact across various industries. Learn about the economic potential of generative AI, the symbiotic relationship between humans and robots, and the evolving role of database administrators. Discover the characteristics of big data, autonomous databases, and Oracle Machine Learning algorithms. Explore decision trees, random forests, neural networks, and other ML techniques. Gain insights into SQL analytics, statistical functions, and AutoML capabilities. Examine the latest developments in generative AI, including ChatGPT and Google's Bard. Understand vector databases, retrieval augmented generation, and the future of AI in business applications. Reflect on the digital transformation ahead, quantum computing's impact on ML, and the three types of AI. Conclude with final thoughts on the rapidly evolving AI landscape and its implications for the future of technology and society.
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Understanding and Using AI and Machine Learning 101