1 introduction to data science
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Amazon's Online Business_Use Case Introduction to Data Science Data Science Sub Domains Data Science Life Cycle Tools/ Libraries & FrameWorks
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1 introduction to data science
- 1. Dr Nisha Arora Introduction to Data Science Image: rxlogix.com
- 2. Contents Amazon’s Online Business: A Use –Case Introduction to Data Science Data Science Sub-Domain AI Vs ML Vs Deep Learning Vs Data Science Recent Applications Associated Risks Data Science Life Cycle Data Science Skills Tools/Libraries & Frameworks Resources
- 3. What Makes Amazon Rich? Image: Seeking Alpha
- 6. Online recommendations: Recommended for you, Nisha Frequently bought together Your recently viewed items and featured recommendations – inspired by your browsing history Browsing history Related to items you’ve viewed Customers who bought this item also bought There’s newer version of this item Best selling in category
- 7. Offline recommendations/Email- Marketing: Best selling this week: cannon model Best selling this week: kodak model “Buy a camera package” Best selling this week across the entire product range: no specific brand Sending the right message to the right person at the right time.
- 9. Mattress industry caught napping as Amazon makes stealth move into its market https://www.nbcnews.com/business /consumer/mattress-industry- caught-napping-amazon-makes- stealth-move-its-market-n929746 https://www.businessinsider.in/Am azon-is-now-selling-its-own- mattresses-and-it-shows-why-the- industry-is-worried-about-the-e- commerce-giants- growth/articleshow/66034755.cms Image: Business Insider
- 10. An immigrant Indian applied for a salesman's job at London 's premier downtown department store. The boss got impressed with his confidence and hired him. The first day was long and arduous for the young man, but he got through it. And finally 6:00 PM, came around the boss duly fronted up and asked, "How many sales did you make today?“ "Sir, Just ONE sale." said the young salesman. "Only one sale?” blurted the boss. "No! No! You see here, most of my staff make 20 or 30 sales a day.” By the way "How much was the sale worth?” “93300534.00 pounds” said the young man. ……. https://www.linkedin.com/pulse/20141120151721-5270504-indian-salesman- humor/
- 11. What is Data Science?
- 12. Data Science Sub Domains
- 13. 13 DS Vs AI Vs DM Vs Big Data
- 14. 14 AI Vs ML Vs Deep Learning Artificial Intelligence is Human intelligence exhibited by machines Machine Learning is An approach to achieve Artificial Intelligence Deep Learning is A technique for implementing Machine Learning
- 15. 15 AI Vs ML Vs Deep Learning Artificial Intelligence Data Science Machine Learning Neural Network Deep Learning
- 16. AI Vs ML Vs Deep Learning Image_Edureka
- 17. 18 Artificial intelligence (AI) is An area of computer science That emphasizes the creation of intelligent machines That work and react like humans. AI is the science and engineering of making intelligent machines that have the ability to achieve goals like humans do. - John McCarthy (1955) What is Artificial Intelligence?
- 18. 19 Artificial Intelligence is human intelligence exhibited by Machines. Artificial Intelligence is the ability of machines to seemingly think for themselves. The core parts of AI are: Machine Learning Knowledge Engineering Robotics etc What is Artificial Intelligence?
- 19. 20 Image_aiie
- 20. Image: Medium
- 21. Image: Medium https://youtu.be/EuxGlRwS2l8?t=1465 My webinar on Machine Learning
- 22. 23 Machine Learning is the Study of algorithms that Improve their performance At some task With experience Artificial Neural Networks (ANN) are set of algorithms inspired by the working of human brain or nervous system. ANN finds patterns in the data, calculate the probability of a certain outcome occurring, and “learn” through error and successes using a feedback loop Deep Learning involves ANN with more than three layers. Machine Learning & Deep Learning
- 23. 24 Natural Language Processing (NLP) deals with computer understanding of human language. NLP can perform tasks like Machine translation Sentiment Analysis Text classification Spam detection Chatboats Natural Language Processing
- 24. 25 Speech Recognition is the process of converting Audio and voice into written text And vice versa Speech recognition’s applications are Phone or video call transcription (speech to text) Amazon’s polly (text to speech) Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana, Google’s Google Assistant Create speech from brainwaves for those who have speech disorder Video streaming of dream Speech Recognition
- 25. 26 Expert system uses A knowledge base about its application domain and An inference engine to solve problems That would normally require human intelligence Applications are Financial management Corporate planning Traffic management Credit authorization Computer installation design Expert System https://medium.com/@NaveenkanthArasu/https-medium-com-naveenkantharasu- understanding-expert-systems-everything-you-need-to-know-a5ec3abafc2
- 26. 27 AI Planning is the task of determining The course of action for a system to reach it’s goal In the most optimal way possible AI Scheduling is the creation of schedules Of activities to resources Considering necessary goals and constraints Planning, scheduling and optimization
- 27. 28 Robotic Process Automation (RPA) is the Science of software robots That mimic human actions Robotics are used in the global manufacturing sector in assembly, packaging, customer service Collaborative robots—or cobots—are robots that are designed to physically interact with humans in a shared workspace Kismet _ A robot developed by M.I.T.’s Artificial Intelligence Lab Sophia Vicky-small wonders Robotics
- 28. 29 Computer Vision is defined as As computers obtaining a high-level understanding From digital image or videos For example; Apple’s Face ID Image recognition Hand-writing generation Computer Vision
- 29. Data Science Skills Image: ZHAW
- 30. Data Science Life Cycle Image: Pinierest
- 31. Data is like people – Interrogate it hard enough and it will tell you whatever you want to hear Value Of Asking The Right Question
- 32. Data Science Tools/Libraries/ Frameworks
- 34. Julia Auto ML
- 39. Thank You