The badge earner demonstrates an understanding of Supervised vs. Unsupervised Learning, applications of different types of machine learning models, and how to build and evaluate machine learning models.
This badge earner has acquired core knowledge of how the Deep Learning class of machine learning algorithms can be harnessed for more powerful and insightful data processing and pattern creation used in decision-making processes. This includes how convolutional neural networks are used to enhance the effectiveness of image recognition and classification.
Earners of the MTA: Introduction to Programming Using Python certification have demonstrated the skills and knowledge to recognize and write syntactically correct Python code, recognize data types supported by Python, and the ability to recognize and write Python code that will logically solve a given problem.
This is a learners badge and the earners of this badge have taken the AWS Academy Cloud Foundations course offered by the AWS Academy and issued by Amazon Web Services Training and Certification.
The badge earner has demonstrated a good understanding and application of machine learning (ML) including when to use different ML techniques such as regression, classification, clustering and recommender systems. The individual has acquired the skills to use different machine learning libraries in Python, mainly Scikit-learn and Scipy, to generate and apply different types of ML algorithms such as decision trees, logistic regression, k-means, KNN, DBSCCAN, SVM and hierarchical clustering.
This badge earner has a good understanding of why data science, artificial intelligence (AI) and machine learning are revolutionizing the way people do business and research around the world. They have general knowledge on what data science is today.
The badge earner has demonstrated the ability to design, build, analyze, and improve chatbots. The individual has also proven their end-to-end skills by deploying chatbots on a WordPress site.