Uploaded byFrank Salliau
20171017 3PL Machine Learning & AI in Transport & Logistics
This document discusses machine learning and AI in transport and logistics. It provides an overview of machine learning concepts like supervised and unsupervised learning, as well as deep learning techniques. It also examines the growth of big data from various sources that enable machine learning applications. Examples are given of machine learning uses in transport and logistics, such as predicting demand and optimizing routes with IoT sensor data.
20171017 3PL Machine Learning & AI in Transport & Logistics
- 1. Machine Learning &AI in transport and logistics Frank Salliau & Sven Verstrepen Oct 17 2017 – 3PL Summit Venlo
- 2. Let’s go backto 1983
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- 12. What is itall about?
- 15. What is MachineLearning? “The science of getting computers to act without being explicitly programmed” - Andrew Ng (Stanford/Coursera)
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- 17. What a humansees DOG NOT A DOG
- 18. What a computersees ??? ???
- 19. What do weneed? TRAINING DATA
- 20. Labeled training set(dog/not dog) > 1000 images Untrained Neural Network Training phase DOG (1) NOT DOG (0)
- 21. Unlabeled image TrainedNeural Network Prediction phase 87% DOG 13% NOT DOG
- 22. Why is thisbooming now?
- 24. What are thedrivers?
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- 26. Byte Byte : onegrain of rice Credits: David Wellman, http://www.slideshare.net/dwellman/what-is-big-data-24401517
- 27. Kilobyte Byte : onegrain of rice Kilobyte : cup of rice
- 28. Megabyte Byte : onegrain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice
- 29. Gigabyte Byte : onegrain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks
- 30. Terabyte Byte : onegrain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships
- 31. Petabyte Byte : onegrain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan
- 32. One ByteExabyte Byte :one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states
- 33. Byte : onegrain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Zettabyte
- 34. Byte : onegrain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL! Yottabyte
- 35. Byte : onegrain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL! Hobbyist Desktop Internet Big Data The Future
- 36. 1 Yottabyte 1 Xenottabyte 1Shilentnobyte 1 Domegemegrottebyte 1 Icosebyte 1 Monoicosebyte
- 37. Where does allthis data come from?
- 39. The Power ofthe Crowd
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- 58. Google Deep Dream (sometimesnightmare)
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- 64. Quality of data:Garbage In Garbage Out
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- 68. D3.js - OpenSource
- 69. Examples in Transport& Logistics
- 73. IoT in transport- “Transpharma Express Route”
- 74. Sven Verstrepen sven.verstrepen@ahlers.com http://www.linkedin.com/in/svenverstrepen Head ofSupply Network Innovation & Analytics
- 75. Frank Salliau Independent DataScientist & Machine Learning Expert http://www.mentat-it.be https://be.linkedin.com/in/franksalliau frank.salliau@mentat-it.be