How to Improve your Supply Chain with Deep Reinforcement Learning. Using Ray and DFO to optimize a multi-echelon supply chain.
What has set Amazon apart from the competition in online retail? Their supply chain. In fact, this has long been one of the greatest strengths of one of their chief competitors, Walmart.
Supply chains are highly complex systems consisting of hundreds if not thousands of manufacturers and logistics carriers around the world who combine resources to create the products we use and consume every day. To track all of the inputs to a single, simple product would be staggering. Yet supply chain organizations inside vertically integrated corporations are tasked with managing inputs from raw materials, to manufacturing, warehousing, and distribution to customers. The companies that do this best cut down on waste from excess storage, to unneeded transportation costs, and lost time to get products and materials to later stages in the system. Optimizing these systems is a key component in businesses as dissimilar as Apple and Saudi Aramco.
A lot of time and effort has been put into building effective supply chain optimization models, but due to their size and complexity, they can be difficult to build and manage. With advances in machine learning, particularly reinforcement learning, we can train a machine learning model to make these decisions for us, and in many cases, do so better than traditional approaches!
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Embrace The Future. Machine learning, deep learning and AI are enabling transformational change in all fields from medicine to music.
In this article, we explore gradient descent - the grandfather of all optimization techniques and it’s variations. We implement them from scratch with Python.
PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.
Prediction without accuracy is worse than not predicting. Learn to save the machine learning trained models for future use and gauge the model accuracy.