What is Data Science? What is Machine Learning, Deep Learning, and AI? Motivation Philosophy of Artificial Intelligence (AI) Role of AI in Daily life Use cases/Applications Tools & Technologies Challenges: Bias, Fake Content, Digital Psychography, Security Detect Fake Content with “AI” Learning Path Career Path

1. Data Science for
beginner
@khatri_chetan
chetan.khatri@live.com
Hosted By: Deptt. of Computer Science, KSKV Kachchh University,
Bhuj - Gujarat, India

2. Who am I?
● Lead - Systems Architect (Data Engineering & Product Strategy) @ Accion labs
Canada
● Ex - Accion labs India, Nazara Games, Eccella Corporation (now “NGData”)
● Open source Contributor: Delta-lake (“Linux Foundation platform”), Apache Spark,
Apache HBase and many others
● Masters in Computer Science from Deptt. of Computer Science, Kachchh University
● Current work - Functional Programming {Scala, Haskell}, Distributed Computing,
Category Theory for Enterprise
○ Area of Interest: Climate change, Renewable Energy
● International Speaker: 19+ Countries, Currently in Canada
● Other activities: Travelling, Reading books, Exploring the nature

3. Agenda
● What is Data Science?
● What is Machine Learning, Deep learning and AI?
● Motivation
● Philosophy of Artificial Intelligence (AI)
● Role of AI in Daily life
● Use cases/Applications
● Tools & Technologies
● Challenges: Bias, Fake Content, Digital Psychography, Security
● Detect Fake Content with “AI”
● Learning Path
● Career Path

4. What is Data Science?
ComputerScience
ArtificialIntelligenceMachineLearning
Deep
Learning
Data Science

5. Artificial Intelligence

6. Artificial Intelligence
Key terminology
Autonomy
The ability to perform tasks in complex environments without constant guidance by a user.
Adaptivity
The ability to improve performance by learning from experience.

7. Machine Learning and Deep Learning
Machine Learning: Systems that improve their performance in a given task with more and
more experience or data
Deep Learning: Deep learning is a subfield of machine learning, which itself is a subfield of
AI, which itself is a subfield of computer science
Data Science: Data science is a recent umbrella term (term that covers several subdisciplines)
that includes machine learning and statistics, certain aspects of computer science including
algorithms, data storage, and web application development.

8. Artificial Intelligence

9. Artificial Intelligence
Ref.
https://www.engadget.com/2018-02-07-deepheart-diabetes-c
ardiogram-ai.html
Pretty good headline

10. Artificial Intelligence
all-time most misleading AI
headlines we've ever seen

11. Artificial Intelligence
Watch out for ‘suitcase words’
Marvin Minsky, a cognitive scientist and one of the greatest pioneers in AI, coined the term
suitcase word for terms that carry a whole bunch of different meanings that come along even
if we intend only one of them. Using such terms increases the risk of misinterpretations such
as the ones above.
- Co-founder of the Massachusetts Institute of Technology's AI lab
- Author of several texts concerning AI and philosophy.

12. Philosophy of AI
The very nature of the term “artificial intelligence” brings up philosophical questions
whether intelligent behavior implies or requires the existence of a mind, and to what
extent is consciousness replicable as computation.

13. Role of AI in Daily life

14. Role of AI in Daily life

15. Role of AI in Daily life

16. Use cases / Applications

17. Use cases / Applications
Natural Language Processing Sentiment Analysis, Named Entity Recognition, Topic
Modelling, Information Retrieval, Search Intelligence,
Language Modelling, Text Classification, Speech
Recognition, Question – Answering.
Computer Vision Object Detection, Image Captioning, Facial emotion
detection i.e making sense from images. Deep Convolutional
Recurrent Neural Network for image based character
recognition (OCR)
Audio-Video Intelligence Video Intelligence: Search Intelligence on Video, Object
Detection and Image captioning on real time video.
Speech Recognition: Speech to Text, Text to Speech
translations.
Geo Intelligence Map Coordinates (Map a set of coordinates to a
geographical region)

18. Accionlabs Machine Learning 2017
TOOLS &
TECHNOLOGIES Languages
Data Quality

19. Accionlabs Machine Learning 2017
Predictive
Modelling
Deep
Learning / AI
TOOLS &
TECHNOLOGIES

20. Accionlabs Machine Learning 2017
Data
Visualization
Containerized Scheduling
TOOLS &
TECHNOLOGIES

21. Accionlabs Machine Learning 2017
Scheduling
GPU Enabled
TOOLS &
TECHNOLOGIES

22. Challenges
1. Data Bias (Gender, Age, Accent, Geography etc)
2. Algorithm Bias
3. Pre-trained model Bias
4. Development team / Company - ethics, regulation, trust, transparency, diversity,
inclusion
5. Fake Data / Content (Images, Video, Tweet, Post) generated an algorithms
Train Data - Distribution set
Bad pattern data >> AI / ML >> Bad prediction (Can cause harm/ dangerous to
humanity)

23. Challenges

24. Challenges - Bias

25. Challenges - Bias

26. Challenges - Bias

27. Challenges - Bias

28. Challenges - Bias

29. Challenges - Bias

30. FAKE Content - Generated by an
Algorithm

31. FAKE Content - Generated by an
Algorithm

32. FAKE Content - Generated by an
Algorithm

33. Challenge - Digital Psychography

34. Challenge - Digital Psychography

35. Challenge - Digital Psychography

36. Challenge - Digital Psychography

37. Challenge - Digital Psychography

38. Content - Security

39. Content - Security

40. Any Hope?
“To make the world, better place to live!”

41. Detect Fake Content with “AI”

42. Detect Fake Content with “AI”
Image/Video
Computer Vision &
Deep Learning
Detection
Explainability
Prediction
Forensics

43. Detect Fake Content with “AI”
Natural Language Processing
Perplexity
Ngrams
GLTR
GPT2 Detection
GROVER
Bigram Network
Graphs

44. Learning Path
● Linear Algebra
● Calculus
● Programming
● Data Structure & Algorithms
● Statistics
● Machine Learning
● Deep Learning

45. Career Path
CCCS101 (Introduction to Computer Science and Programming)
FCCS203 (Mathematical Foundation of Computer Science-I)
FCCS304 (Mathematical Foundation of Computer Science – II)
FCCS405 (Computer Oriented Numerical Methods)
CECS408 (Advanced Data Structures and Algorithms)
CCCS833 (Artificial Intelligence)
CCCS728 (Data Warehousing and Data Mining)
CCCS936 (Data Science)
Masters and Bachelors Degree in Computer Science,
Data Science Specialization
https://cs.kskvku.ac.in/courses-offered.html

46. Questions???

47. References [1]
1. Everything we know about this week’s big Twitter hack so far
[URL] https://www.theverge.com/interface/2020/7/17/21327171/twitter-hack-faq-direct-messages-sim-swappers-facebook-maxine-williams-diversity-report-interview
2. The Twitter Hack Could Have Been Much Worse—and Maybe Was
[URL] https://www.wired.com/story/twitter-hack-could-have-been-much-worse/
3.
Twitter’s massive attack: What we know after Apple, Biden, Obama, Musk, and others tweeted a bitcoin scam
[URL] https://www.theverge.com/2020/7/15/21326200/elon-musk-bill-gates-twitter-hack-bitcoin-scam-compromised
4.
Twitter's massive hack could be even worse than it seems
[URL] https://www.cnn.com/2020/07/16/tech/twitter-hack-security-analysis/index.html
5.
Google’s Artificial Intelligence Built an AI That Outperforms Any Made by Humans
[URL] https://futurism.com/google-artificial-intelligence-built-ai
6.
UN Report: Gender bias in voice assistant coding
[URL] https://www.kxnet.com/news/un-report-gender-bias-in-voice-assistant-coding
7.
How AI Can Create And Detect Fake News
[URL] https://www.forbes.com/sites/forbescommunicationscouncil/2019/09/12/how-ai-can-create-and-detect-fake-news/
8.
New AI Can Detect Fake News With Unprecedented Accuracy—and Generate Its Own
[URL] https://www.adweek.com/digital/new-ai-can-detect-fake-news-with-unprecedented-accuracy-and-generate-its-own/
9.
GROVER — A State-of-the-Art Defense against Neural Fake News
[URL] https://grover.allenai.org/
10.
OpenAI’s Text Generator Is Going Commercial
[URL] https://www.wired.com/story/openai-text-generator-going-commercial/

48. References [2]
11. To detect fake news, this AI first learned to write it
[URL] https://techcrunch.com/2019/06/10/to-detect-fake-news-this-ai-first-learned-to-write-it/
12. OpenAI has published the text-generating AI it said was too dangerous to share
[URL] https://www.theverge.com/2019/11/7/20953040/openai-text-generation-ai-gpt-2-full-model-release-1-5b-parameters
13. New AI fake text generator may be too dangerous to release, say creators
[URL] https://www.theguardian.com/technology/2019/feb/14/elon-musk-backed-ai-writes-convincing-news-fiction
14.
https://www.thispersondoesnotexist.com/
15.
ThisPersonDoesNotExist.com uses AI to generate endless fake faces
[URL] https://www.theverge.com/tldr/2019/2/15/18226005/ai-generated-fake-people-portraits-thispersondoesnotexist-stylegan
16.
Using ML to detect fake face images created by AI
[URL] https://blog.jayway.com/2020/03/06/using-ml-to-detect-fake-face-images-created-by-ai/
17.
Invented a way for neural networks to get better by working together
[URL] https://www.technologyreview.com/innovator/ian-goodfellow/
18.
The Artie Bias Corpus
[URL] https://www.artie.com/blog/the-artie-bias-corpus
19.
VR veterans found Artie augmented reality avatar company
[URL] https://venturebeat.com/2018/12/06/vr-veterans-found-artie-augmented-reality-avatar-company/

49. References [3]
20.
Dealing With Bias in Artificial Intelligence
[URL] https://www.nytimes.com/2019/11/19/technology/artificial-intelligence-bias.html
21.
Artificial Intelligence Has a Problem With Gender and Racial Bias. Here’s How to Solve It
[URL] https://time.com/5520558/artificial-intelligence-racial-gender-bias/
22.
AI Bias Could Put Women’s Lives At Risk - A Challenge For Regulators
[URL] https://www.forbes.com/sites/carmenniethammer/2020/03/02/ai-bias-could-put-womens-lives-at-riska-challenge-for-regulators/
23.
Three ways to avoid bias in machine learning
[URL] https://techcrunch.com/2018/11/06/3-ways-to-avoid-bias-in-machine-learning/
24.
Data from wearables helped teach an AI to spot signs of diabetes
[URL] https://www.engadget.com/2018-02-07-deepheart-diabetes-cardiogram-ai.html

50. Thank you!