If you're interested in Machine Learning, Deep Learning, and Bayesian Learning, this course could be the perfect fit for you. The Machine Learning, Deep Learning + AWS Sagemaker course is an all-in-one online learning experience that covers all three topics.
What's included in the course?
The course starts with an introduction to data analysis using Pandas and implementing algorithms with Numpy. We cover linear regression, Classification and Regression Trees (CART), Random Forest, and Gradient Boosted Trees.
After the basics, we delve into the world of Deep Learning, using TensorFlow for Feed Forward Networks, Convolutional Neural Nets (CNNs), and Recurrent Neural Nets (RNNs). For more advanced topics, we use PyTorch with PyTorch Lightning.
We cover Scikit-learn throughout the course and focus on both the programming and the mathematical/statistical aspects of machine learning. This is crucial to help you prepare for theoretical questions in interviews while giving you the practical skills to put Machine Learning into use.
What else do we cover?
The Machine Learning, Deep Learning + AWS Sagemaker course has a few more key areas of focus that we'll cover. These include unsupervised learning, time series analysis, and natural language processing.
In addition, we spend significant time on feature engineering and avoiding overfitting in our models. Diagnosing Machine Learning (and Deep Learning) models and splitting them into training and testing sets and analyzing the right metrics can make all the difference.
The course doesn't just stop at theory and practice - we take it one step further by discussing Machine Learning deployment. This topic can be complex and is often neglected in other courses, but having a model that doesn't decay in production is an essential part of being a good data scientist.
Why choose this course?
The Machine Learning, Deep Learning + AWS Sagemaker course has received positive reviews, with a high aggregate rating of 4.6657 and 361 reviews to date.
One of the standout features of this course is the use of AWS Sagemaker for model deployment. We'll teach you how to spin up Sagemaker instances using boto3, giving you an edge in the field.
Another benefit of this course is the balance between theory and practical skills, as mentioned earlier. This balance is crucial for anyone who wants to work in the field of Machine Learning.
Lastly, the instructor has over 20 years of experience as a course review content writer for top ranking course review sites. This experience, combined with their expertise in the field, provides a unique learning experience that is hard to find in other courses.
Wrapping up
The Machine Learning, Deep Learning + AWS Sagemaker course is an excellent choice for anyone looking to expand their knowledge and skills in Machine Learning. With a comprehensive curriculum, practical skills, and a focus on deployment, this course can help you stand out in the competitive field of Machine Learning.
