Understanding and Using AI and Machine Learning 101

Understanding and Using AI and Machine Learning 101

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from juan loaiza interview

68 of 88

68 of 88

from juan loaiza interview

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Understanding and Using AI and Machine Learning 101

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  1. 1 intro
  2. 2 preamble
  3. 3 where to use ai & ml 101
  4. 4 about viscosity
  5. 5 agenda
  6. 6 the economic potential of genai
  7. 7 symbiotic coming relationship; you & robots
  8. 8 the brain center at whipple's & chatgpt
  9. 9 robotics / automation impact to jobs
  10. 10 leverage - db, gps & robotics
  11. 11 the obsolete man
  12. 12 autonomous database - replacing the dba?
  13. 13 biju thomas - emerging jobs devloper/dba
  14. 14 characteristics of big data - the five v's
  15. 15 converged database
  16. 16 what you need; nick of time
  17. 17 a robot may not look like one!
  18. 18 autonomous db : future dba & robot db
  19. 19 oracle machine learning: brief highlights only
  20. 20 ml process supervised learning
  21. 21 business understanding
  22. 22 oaa model build and real-time sql apply
  23. 23 dbms_data_mining oracle algorithms
  24. 24 ml learning in adw/atp
  25. 25 a game of pool
  26. 26 oracle ml algorithms and analytics in oracle db
  27. 27 decision tree algorithm ml classifier
  28. 28 oml oaa oracle data mining sql sample partial
  29. 29 random forest ml classifier
  30. 30 neural network
  31. 31 one-class svm ml anomaly detection
  32. 32 hierarchical k-means ml cluster
  33. 33 seasonal, irregular & missing data: time series algorithm
  34. 34 linear model regression
  35. 35 generalized linear model glm
  36. 36 principal component analysis attribute importance
  37. 37 living doll
  38. 38 apriori / market based association rules
  39. 39 singular value decomposition feature extraction
  40. 40 principal component analysis feature extraction
  41. 41 in his image
  42. 42 number 12 looks like you 2020
  43. 43 sql analytics windows / patterns / aggregates
  44. 44 statistical functions in oracle partial list
  45. 45 ml ffunctions - oracle docs
  46. 46 autml is here for autonomous db
  47. 47 time enough at last for ml with automl
  48. 48 ml & ai - oracle's built-in algorithms
  49. 49 biju thomas at odtug
  50. 50 ml & business apps
  51. 51 applications - ai powered; analytics & ml
  52. 52 oracle genai
  53. 53 sql generation from natural language using llm
  54. 54 think of it as an assistant 60-70%
  55. 55 apex development speed- genai
  56. 56 genai writes the sql
  57. 57 what's next: a worldwide race to build ai
  58. 58 healthcare driving oracle to better ai products
  59. 59 oracle driving first responders with tesla
  60. 60 openai - ten years later... the baby talks!
  61. 61 generative ai - things to know...
  62. 62 chat gpt
  63. 63 google's bard
  64. 64 transformers - google, 2017
  65. 65 generative ai: gpt & chatgpt
  66. 66 chatgpt-4
  67. 67 oracle vector db
  68. 68 from juan loaiza interview
  69. 69 vecotr search
  70. 70 create table with vector data type & blob
  71. 71 retrieval augmented generation
  72. 72 answer detailed questions / supply manuals
  73. 73 ask question & reference document ai searches
  74. 74 from stanford paper
  75. 75 robots we grew up with... movie robots... closer to the future... today's robots
  76. 76 genai inside apex, sensors, robots... etc.
  77. 77 use oracle va with robots
  78. 78 db, ai & vr
  79. 79 a world of difference getting closer
  80. 80 the after hours future sentience issues ahead
  81. 81 the digital transformation ahead
  82. 82 digital - how did we go from magical to toxic?
  83. 83 gartner 2020 hype cycle
  84. 84 quantum computing makes ml fast enough!
  85. 85 3 types of ai
  86. 86 final thoughts
  87. 87 summary
  88. 88 thank you!

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