How to get started with machine learning?
We can think of machine learning as a future topic, but due to the increasing volumes of data, it is already tightly connected with our everyday life. Implementation of machine learning has potential benefits in every (management) area where large volumes of data are involved. Today, and even more in the future, a manager who can exploit the quantities of data works more cost-effectively and earns bigger profits. Machine learning helps to find the regularities and patterns in large volumes of data, which simple statistics is not able to detect. Any company wishing to stand out in the market should consider the implementation of machine learning, because, in order to stay in the competition, one has to know better and better their customer, make precise management decisions to perform business goals, and ensure the quality of products and services. The machine learning feasibility analysis is the best and most affordable way to make the first step towards raising the company’s quality and competitiveness. A prerequisite for carrying out the analysis is the company's interest in using the data to find new optimization opportunities for its product, service, or activities. In essence, we determine with three steps whether and to what extent it is possible to apply machine learning solutions for achieving the objectives set by the company:
- We carry out the data audit to figure out the quality and deficiencies of the data generated in the business process. We will find out whether the collected data set is sufficient for implementing machine learning.
- We perform the machine learning test. We test different models and assess their performance.
- We carry out the machine learning feasibility test and prepare an action plan with the budget.
If you would like to get started with machine learning, order a free demo from us by filling out the form below.
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