Sales process are probably the most detailed with lot of attributes in sales order and sales invoices. Probably one of the most common and important area in a company to check out the machine learning is on pricing prediction. You can’t create this function Y=f(X) in a deterministic way, but you can create a stochastic function with machine learning. In supervised learning you have input variables (x) and an output variable (Y) and you use an algorithm to learn the mapping function from the input to the output. With data sets, a supervised learning model can be mapped to inputs and outputs to solve a regression problem or a classification problem like image recognition, machine translation or other category allocation model. Supervised learning is a more commonly used form of machine learning than reinforcement learning in part because it’s a faster, cheaper form of machine learning. After that you are convinced that machine learning has a real flavor you start asking if it works because of data or if it might work with any data? The Kaggle playground works out of the box and from the community shared exploratory data analysis you can puzzle your own ideas. The Kaggle completion is the fast start and gives you the real flavor of machine learning.
SAP ECC CODE
I took my chances with learning and scrapping the code from Earthquake Kaggle competition. Once you understand the basic you want to understand the scale and because of that you inevitable will land on Kaggle competition. Most notable neural network library is TensorFlow with Keras on top provided by Google. I found out that most of data science environment relies on Python and that the giants democratized the machine learning libraries. I completed various AI courses from and at the same time I started to look for a second opinion of the core solutions to break in my mind the concept to basic elements. Predictive Is The Next Step In Analytics Maturity? It’s More Complicated Than That!
People Tend To Overestimate What Can Be Done In One Year And To Underestimate What Can Be Done In Five Or Ten Years. When setting expectations take into account the divergence of goals and degrees of understanding a domain knowledge The Expert (Short Comedy Sketch) 🙂. This caught my attention because I have seen so many data and I was curious about revamped age of artificial intelligence I read from science fictions books and movies up to the point of singularity Ex Machina, but in reality all that worked in the past were only basic statistics models. Few years ago, machine learning started to flood the media. I started to work with SAP about 20 years ago and I stepped through different stages of understanding business data in various implementation projects of master data, material management, sales and distributions, plant maintenance, demand planning, business warehouse and integrated planning and interfaces with other satellite systems. What if you currently work with SAP ECC 6.0 and you want to build a proof of concept with machine learning and be prepared when times comes to migrate your ideas to SAP HANA Predictive Analysis Library?
Machine learning with SAP ECC 6.0 and SAP BW 7.50
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