Machine learning, what is it and what can you do with it?
The History and Future of Machine Learning
What is machine learning? To get a more profound understanding of it, let’s first dive into the history.
The term Machine Learning (ML) was introduced by Arthur Samuel in 1959, an IBM Engineer and pioneer in the field of Artificial Intelligence.
His first book on the subject was published in 1960: “The Mathematical Foundations of Learning Machines” by Nils J. Nilsson.
This book, probably once a collector’s item, described Machine Learning (ML) from the pattern classification approach. Based on this foundation, pattern recognition was introduced in the 1970s, followed by learning strategies about neural networks to learn the recognition of digital characters. This is the holy grail in computer science, allowing Artificial Intelligence to learn from data itself. EasyData follows this science by collaborating with scientists and universities all over the world and by offering interesting workplaces for students. Our goal is to translate the acquired knowledge into result-oriented solutions. In other words, applied innovation!
Components that play a role in Machine Learning…
Every Machine Learning (ML) application is built on data; without data, an ML application is ineffective. This raises an important question: where does this data—the dataset—come from?
Data can originate from public sources or be generated internally within your organization. At EasyData, we provide standard solutions to collect the right data quickly, transparently, and traceably. Our specialists are eager to explore possibilities with you, ensuring the data you need is ready for effective ML applications.
ML Architecture
Raw data isn’t inherently usable for ML algorithms. That’s where ML architecture comes in—ensuring data is transformed and structured, so algorithms can identify valuable patterns and insights. You can read more about this in other articles on our website or on Wikipedia.
Machine learning (ML) expertise
EasyData is a recognized specialist in Machine Learning, ready to tackle even the most unconventional challenges. For example, interpreting text from moving train carriages is a fascinating and complex task that we’ve been trusted to solve. Such unique requests push us beyond specialized engineering into the realm of advanced data science.
We encourage you to share your unique challenges with us, even if they seem unusual. Our expertise and discretion allow us to approach each problem innovatively. For more straightforward tasks, such as ML-powered invoice recognition, EasyData’s proven technology offers efficient and reliable solutions.
Let’s work together to bring your Machine Learning project to life!
Machine Learning in your organization
Machine Learning (ML) is no longer reserved for tech giants; it’s a powerful technology accessible to organizations of all sizes. EasyData’s state-of-the-art Cloud architecture makes it easy for businesses to explore, analyze, and classify their data for getting valuable insights and be on top of future trends.
Where is the balance between embracing or ignoring technology?
What is the advantage of investing in a certain project? Is there a trend that could potentially serve a strategic interest? E.g., do you have a large number of documents that require further classification/data reduction to comply with GDPR?
Our goal is to give you clear answers about your ROI. We achieve the goal by visualizing all the data and sources you need to make the right decision.
Think in terms of automating tasks using complex data models that analyze and deliver tangible results through workflow automation, Excel reports or online dashboards that show where action needs to be taken. Machine learning identifies profitable opportunities that benefit your organization.
Research and assessment
Our data specialists work with you to identify the right ML network for your needs. We’ll design a process scenario tailored to your goals and train a basic model to provide initial insights. This practical approach gives you a clear understanding of what ML can achieve for your business.
This will immediately give you a grip on the concept and insight into the possibilities for your organization. We accommodate a test environment in our data center. EasyData ensures a safe and responsible evaluation environment in the Cloud. This approach saves you time and offers the possibility to gain direct access to our technologies on the most modern platform without installation problems.