A Machine Learning Specialist Is Applying a Linear Least Squares

question 148

Multiple Choice

A Machine Learning Specialist is applying a linear least squares regression model to a dataset with 1,000 records and 50 features. Prior to training, the ML Specialist notices that two features are perfectly linearly dependent. Why could this be an issue for the linear least squares regression model?

• A) It could cause the backpropagation algorithm to fail during training
• B) It could create a singular matrix during optimization, which fails to define a unique solution
• C) It could modify the loss function during optimization, causing it to fail during training
• D) It could introduce non-linear dependencies within the data, which could invalidate the linear assumptions of the model

Assess the impact of technological and narrative innovations on the success and reception of groundbreaking films.

Investigate the challenges and changes in film genre conventions during the 1960s and 1970s.

Understand the contribution of tracking shots and camera techniques to storytelling and atmosphere in film.

Recognize the impacts of production problems and auteurism on the end of the Hollywood Renaissance.

---

Definitions:

Nicolaus Steno

A pioneering geologist and bishop in the 17th century, known for laying the foundational principles of stratigraphy, the study of rock layers and layering.

Stratigraphy

The study of layering in rock (stratification).

Living Organisms

Entities that display the characteristics of life such as growth, reproduction, responsiveness, metabolism, and homeostasis.

Youngest Species

The most recently evolved species within a taxonomic group or lineage.