Artificial intelligence and machine learning are the way of the future. Machine learning has a number of possible applications, including in data mining, robotic control, autonomous navigation and bioinformatics. As a form of artificial intelligence, machine learning automates data analysis to enable computers to do specific tasks without direct programming.
In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science. You will learn about common applications of specialised data types and will focus on unstructured data. This course teaches...
Prerequisites Basic knowledge of Python coding is a pre-requisite Bring your own device Who Should Attend? This course is intended for programmers who need to code machine learning algorithms in Python This course is also suitable for programmers who m...
By taking a machine learning course, you can equip yourself with a skill set that will only continue to grow in significance and relevance, mastering machine learning concepts, mathematical and heuristic elements and hands-on algorithm development.
Whether you are a seasoned data scientist looking to upskill for a promotion or a recent graduate wanting to better understand AI, a machine learning course can take you to the next level.
A machine learning course equips you with the skills needed to evolve with artificial intelligence. You will obtain knowledge and technical competence in applying mathematical and statistical learning, machine learning algorithms, methodologies and modern computational tools. You will also develop the ability to locate and use data where it is relevant to do so, with these skills being highly valuable in an increasingly digitised workplace.
With a machine learning certification, you will develop a strong understanding of machine learning techniques and the tools necessary to work alongside technology in a multitude of different capacities. You will also learn a number of programming languages and have the confidence needed to excel even in an unsupervised learning environment.
Machine learning courses are available online as well as in London-based classroom environments. You will have the opportunity to analyse real-world case studies of machine learning application and design as well as utilise hands-on learning to develop algorithms for machines. Some other skills you can expect to hone include data preparation, probability-based learning, error-based learning, model evaluation, linear regression, generative learning algorithms, value and policy iteration, and Q-learning and value function approximation.
From foundational data analytics and practical introduction to advanced insights into neural networks and deep learning (which are used to solve issues in image and speech recognition), our in-person and online courses open up a world of opportunity.
Whether you wish to take a specialised machine learning course with Python or a more general introduction to machine learning, there are a number of online courses available as well as in-class courses based in London:
Obtaining a machine learning certification sets you up for a rich and fulfiling career in a world that increasingly depends on artificial intelligence. From developing self-driving cars to experimenting with different machine learning models, the machine learning world is full of rich and exciting career possibilities. Some options that may wish to explore include:
For our guide on becoming a machine learning engineer, click here.
