If you’re looking to start a career in the tech world, it’s important to understand what current ‘hot’ technologies are about and what they are used for. In this blog, we’ll introduce you to the topic of machine learning, and we’ll suggest three free courses you can start today.
Machine Learning is a core sub-area of Artificial Intelligence (AI), which allows systems to automatically learn and improve from experience without being explicitly programmed. The concept of Machine Learning is to use algorithms to create models and use statistical analysis to predict an outcome. That means that machines observe data or analyze their own experiences and try to find patterns in this data. In this way machines enable people to make better future decisions based on the machine’s experiences. The result is to have computers which learn automatically without human intervention or assistance and adjust actions accordingly. Some examples of Machine Learning are Google’s search engine, the online recommendations offered at Amazon or Netflix, and the hot topic “fraud detection”.
Machine learning algorithms are categorized as supervised or unsupervised. Whereas supervised algorithms require humans to provide both input and desired output, unsupervised algorithms work without human intervention, instead, they use deep learning, which means that they review data and arrive at conclusions by themselves.
We explained what machine learning means, but why is it important? Through machine learning, models can be quickly and automatically created and consequently big and complex data can be analyzed more easily. Consequently, results are produced faster and more accurately.
In other words, by having more precise models, every kind of sector can identify profitable opportunities and risks better. Who doesn’t want that? Unsurprisingly, machine learning is used across different sectors, like for instance in finance, government, marketing and sales, and healthcare.
Now that we’ve covered the what’s and why’s of machine learning, let’s focus on your career and think about courses in machine learning! A variety of sectors have to deal with a huge amount of data on a daily basis and need insights that help shape decision-making. Machine learning systems are a major help for these tasks. As more and more businesses discover the value of machine learning, machine learning skills are becoming increasingly more important.
Through 10 lessons you will learn the end-to-end process of investigating data with a machine learning system. This course will teach you how to extract and identify useful features that best represent your data; a few of the most important machine learning algorithms; and how to evaluate the performance of your Machine Learning algorithms. In addition, you will learn through use cases and real-world problems like self-driving cars. With this introductory course, you will be able to analyze data using machine learning techniques. You will learn how to use helpful tools, such as pre-written algorithms and libraries.
This course, offered by SAP, shows the importance of machine learning for businesses, using the point of view of business decision makers. Participants will learn about recent advances in machine learning, basic concepts involved, and how business problems can be solved with the help of machine learning. The course offers guidelines on how to formulate a business problem as a machine learning problem. Through 7 lessons you will understand the functions of machine learning systems in businesses, through the help of “Application Examples”. This course is targeted at Solutions and Executive Managers.
This course is part of the Microsoft Professional Program Certificate in Data Science. In this data science course, you will learn the theory of machine learning combined with practical scenarios and hands-on experience for building, validating, and deploying machine learning models. You will understand how to build and derive insights from these models using R, Python and Azure Machine Learning. After the first section, “Explore Classification”, you will dive into “Regression in Machine Learning” and then obtain insights from supervised models. During the entire course, you will practice with R, Python, and Azure Machine Learning.
With these three free courses, you gain important insights in machine learning systems and you will be able to practice your knowledge with typical cases. Considering the demand for people that know their way around AI topics, experts in Machine Learning will be highly required!
Are you ready to start a successful career in machine learning?
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