Fundamentals of Statistics and Machine Learning for Absolute Beginners
Beschrijving
OverviewThis On Demand course will teach you all it takes to perform complex statistical computations required for Machine Learning. Understand real-world examples that show the statistical side of Machine Learning and familiarize yourself with them. We will discuss the application of frequently used algorithms on various domain problems, using both Python and R programming. We will use libraries such as scikit-learn, NumPy and so on. By the end of the course, you will have mastered the required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problem.ObjectivesUpon completion of this event you will:
- Learn the math and mechanics of Machine L…
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Upon completion of this event you will:
- Learn the math and mechanics of Machine Learning via a developer-friendly approach
- Get to grips with widely used Machine Learning algorithms/techniques and how to use them to solve real problems
- Offers practical solutions for simple linear regression and multi-linear regression
- Compares logistic regression and random forest using examples
- Introduces statistical terminology and machine Learning
- Get an overview of the most well-known and powerful tools, to solve computing problems using Machine Learning
Statistical terminology and machine Learning
Linear regression
Logistic regression vs Random Forest
Introduction
The Learning process
Clustering
Linear and Logistic Regression
Neural Networks
CNN
RNN
Recent models and developments
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Deel je ervaring
Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.