DATA SCIENCE DAN S REZNIK, DIRECTOR DATA SCIENCE CONSULTING LTD - - PowerPoint PPT Presentation

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DATA SCIENCE DAN S REZNIK, DIRECTOR DATA SCIENCE CONSULTING LTD - - PowerPoint PPT Presentation

Sep 22, 2023 151 likes •612 views

(c) 2019 Data Science Consutling Ltd. 4 MYTHS ABOUT DATA SCIENCE DAN S REZNIK, DIRECTOR DATA SCIENCE CONSULTING LTD (c) 2019 Data Science Consutling Ltd. Artificial Intelligence is Intelligence Machine Learning is Learning CONTENTS

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4 MYTHS ABOUT DATA SCIENCE

DAN S REZNIK, DIRECTOR DATA SCIENCE CONSULTING LTD

(c) 2019 Data Science Consutling Ltd.

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CONTENTS

  • Artificial Intelligence is Intelligence
  • Machine Learning is Learning
  • Useful Analytics is Predictive
  • Data Science is Science

(c) 2019 Data Science Consutling Ltd.

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MYTH 1: ARTIFICIAL INTELLIGENCE IS INTELLIGENCE

THE CLOWN SHOW

(c) 2019 Data Science Consutling Ltd.

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(c) 2019 Data Science Consutling Ltd.

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TYPES OF INTELLIGENCE

(c) 2019 Data Science Consutling Ltd.

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(c) 2019 Data Science Consutling Ltd.

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INTELLIGENCE

HUMAN

  • Understanding content
  • Awareness of self, other, and context
  • Learning, applying
  • Emotional intelligence / theory of mind
  • Reasoning / problem-solving
  • Planning, Creating
  • Critical thinking, rejecting
  • Joking / Loving / Giving

ARTIFICIAL

  • Parse digital data
  • Achieve specific goals and tasks
  • Adapt
  • Applications
  • Games
  • OCR, voice-to-text
  • Object, face recognition
  • Autonomous cars

(c) 2019 Data Science Consutling Ltd.

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ATLAS

(c) 2019 Data Science Consutling Ltd.

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AUTONOMOUS CARS

(c) 2019 Data Science Consutling Ltd.

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HOW ABOUT “DEEP LEARNING”?

(c) 2019 Data Science Consutling Ltd.

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AI “WINTERS”

(c) 2019 Data Science Consutling Ltd.

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GOL

(c) 2019 Data Science Consutling Ltd.

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MYTH 2: MACHINE LEARNING IS LEARNING

(c) 2019 Data Science Consutling Ltd.

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LEARNING

HUMAN

  • Cognitive: recall, calculate, discuss,

analyze, problem solve, etc.

  • Psychomotor: dance, swim, play football,

dive, drive, ride, etc.

  • Affective: To like something or someone,

love, appreciate, fear, hate, worship, etc.

MACHINE

  • Estimate parameters
  • Hierarchically split
  • Reinforce correct behavior
  • Regress network weights
  • Cluster

(c) 2019 Data Science Consutling Ltd.

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FACE SURVEILLANCE

(c) 2019 Data Science Consutling Ltd.

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DEEP LEARNING

(c) 2019 Data Science Consutling Ltd.

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MYTH 3: USEFUL ANALYTICS IS PREDICTIVE

(c) 2019 Data Science Consutling Ltd.

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ANALYTICS

PREDICTIVE

  • Model past’s parameters
  • Project trends
  • Project distribution
  • Project multinomial fit
  • Stationarity

DESCRIPTIVE

  • Describe Past
  • Visualize Past

(c) 2019 Data Science Consutling Ltd.

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DASHBOARDS

(c) 2019 Data Science Consutling Ltd.

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CRIME PREDICTION

(c) 2019 Data Science Consutling Ltd.

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TIME-SERIES FORECASTING

(c) 2019 Data Science Consutling Ltd.

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TIME-SERIES FORECASTING

(c) 2019 Data Science Consutling Ltd.

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(c) 2019 Data Science Consutling Ltd.

T echs Strategic to BI (c) 2019 Dresner Advisory

https://twitter.com/gp_pulipaka/status/1178379976514494470?s=20

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MYTH 4: DATA SCIENCE IS SCIENCE

(c) 2019 Data Science Consutling Ltd.

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WRANGLE FEATURES

(c) 2019 Data Science Consutling Ltd.

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TAKE THE TRAIN

(c) 2019 Data Science Consutling Ltd.

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MESTRE CALCETEIRO

(c) 2019 Data Science Consutling Ltd.

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CABINET MAKING

(c) 2019 Data Science Consutling Ltd.

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START WITH PROBLEM NOT TECH

(c) 2019 Data Science Consutling Ltd.

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JOHN TUKEY (1915-2000)

It is far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise

(c) 2019 Data Science Consutling Ltd.

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WILL BARBERS OR DATA SCIENTISTS BE AUTOMATED?

  • Identify real-world problems, choose analysis plan
  • Design data collection, assess quality, correct labels, reject

data

  • Incorporate domain knowledge, e.g., via feature

engineering

  • Anticipate risks, manage them
  • Manage biases, ethical issues, impact of project in society
  • Analyze and critique performance
  • Explain insights to human stakeholders, convince them

(c) 2019 Data Science Consutling Ltd.

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HOW ABOUT R?

(c) 2019 Data Science Consutling Ltd.

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ECOSYSTEM

(c) 2019 Data Science Consutling Ltd.

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CRAN PACKAGES

(c) 2019 Data Science Consutling Ltd.

15k

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R VS PYTHON

(c) 2019 Data Science Consutling Ltd.

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R VS PYTHON

(c) 2019 Data Science Consutling Ltd.

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(c) 2019 Data Science Consutling Ltd.

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(c) 2019 Dan S. Reznik -- FDC

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IN TERMS OF GENERAL INTELLIGENCE, WE’RE NOT EVEN CLOSE TO A RAT.

YANN LECUN FACEBOOK AI DIRECTOR

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(c) 2019 Dan S. Reznik -- FDC

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(c) 2019 Dan S. Reznik -- FDC

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SUMMARY

  • Artificial Intelligence is a statistical modeling
  • Machine Learning is statistical modeling
  • Useful Analytics is still mostly descriptive
  • Data Science is carpentry

(c) 2019 Data Science Consutling Ltd.

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THANK YOU

DAN@DAT

  • SCI.COM

(c) 2019 Data Science Consutling Ltd.

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(c) 2019 Data Science Consutling Ltd.