Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
What is Machine Learning ?
Machine learning is a sub application of artificial intelligence that aims to get systems the ability to learn themselves from their experience. Think about a program that can learn from trial and error and adjust it parameters and even programming.
How does machine learning work ?
Machine learning is based on unsupervised learning and deep learning which basically use machine learning algorithms usually developed on programming languages like Python to power applications.
Machine learning algorithms can perform tasks which use, collect and process data with the R programming language to build a deep learning neural network learning from interactions, it involves a learning phase where data is collected, categorised and analysed to predict future outcomes and help the program learn the optimal path to it’s objective.
What are the most important considerations to program beautiful Machine Learning applications ?
- One of the most important factors to consider when designing artificial intelligence applications is the data, it has to be sanitised and properly organised for the analysis.
- In order to train the models and algorithms the amount of data is another factor since the more data the better, our models and applications will be more accurate.
This is a great course by Kirill Eremenko who is a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. …
This course it’s a great introduction to machine learning and has been designed by two professional Data Scientists so that they can share their knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
The instructors will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
This course will come with some bonus Python and R templates of codes you can use directly on your projects.
This course is ideal for:
- Anyone interested in Machine Learning.
- Students who have at least high school knowledge in math and who want to start learning Machine Learning.
“The way the entire course structure is really good, the way intuition and the exercises done was very interesting.”
“I have taken other courses from Kirill on the subject as a way of creating a curriculum, but this course contains the material from the previous courses.”
“I liked the course a lot. I think for someone who is fairly familiar with data science or is just getting started, this is an awesome course.”
Note: Some of these courses might be free. But if you decide to purchase anything (using the links below) you’ll be financially supporting this publication. Thanks for your support.
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