Lecture 5
We get to go to a lot of conferences. And we’re always amazed at how many vendors and commentators stand up at events and trade shows and say things like, “The objective of analytics is to discover new insight about the business”.d Read more on this free link
What is Supervised Learning?Before we dive into Classification, let’s take a look at what Supervised Learning is. Suppose you are trying to learn a new concept in maths and after solving a problem, you may refer to the solutions to see if you were right or not. Once you are confident in your ability to solve a particular type of problem, you will stop referring to the answers and solve the questions put before you by yourself. Read more on this free link
IntroductionMachine learning is connected with the field of education related to algorithms which continuously keeps on learning from various examples and then applying them to real-world problems. Classification is a task of Machine Learning which assigns a label value to a specific class and then can identify a particular type to be of one kind or another. Read more on this free link
In this post, you will learn about some popular and most common real-life examples of machine learning classification problems. For beginner data scientists, these examples will prove to be helpful to gain perspectives on real-world problems which can be termed as machine learning classification problems. Read more on this free link
An OverviewDescriptive analytics tells what happened in your business in the past week, month or year, presenting it as numbers and visuals in reports and dashboards.Diagnostic analytics gives the reason why something happened.Predictive analytics determines the potential outcomes of present and past actions and trends. Read more on this free link
There are three different approaches to machine learning, depending on the data you have. You can go with supervised learning, semi-supervised learning, or unsupervised learning. Read more on this free link
When a company receives an online order from a customer with multiple items across different SKUs, it then has to decide the best way to fulfill the order and minimize split shipments. Read more on this free link
Demand forecasting is an essential function of demand planning that uses historical sales data to estimate future customer demand. Business processes ranging from supply chain management to decision making are influenced by demand forecasting and demand planning accuracy. Read more on this free link
In the current global economy, competition is fierce across different business domains. Each and every organization is striving to improve business efficiency and reduce expenditures. Supply chain management is one of the critical tasks for business owners. Knowing how to implement an efficient supply chain management system is key. Read more on this free link
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time discounts on designer apparel and accessories. Read more on this free link
If the businesses want the functions of their supply chain to be optimized or achieve supply chain optimization, it is not sufficient to simply select a correct strategy. Read more on this free link
Breaking the Trade-Off Between Efficiency and Service. What if a manufacturer had to deal with customers waltzing around its shop floor? What if they showed up, intermittently and unannounced Read more on this free link
When it comes to supply chains, one size rarely fits all. Different products have different characteristics, lifecycles, and customers that can’t easily be shoehorned into a single planning and scheduling methodology. Read more on this free link
Is Balancing Complex Retail and CPG Supply Chains a Total Fantasy? Recent events have more than illustrated the fragility of ultra-lean supply chains. Read more on this free link