CFA Level 2 Quantitative Methods 2
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,Machine Learning - Answer: "find the pattern, apply the
pattern"
- better able than statistical approaches to handle problems
with many variables (high dimensionality) or with a high
degree of non-linearity
3 Distinct Classes of Techniques of Machine Learning -
Answer: 1. Supervised learning
2. Unsupervised learning
3. Deep learning
Supervised Learning - Answer: involves machine learning
algorithms that infer patterns between a set of inputs (the X's)
and the desired output (Y) - then used to map a given input
set into a predicted output
- requires a labeled dataset
- applying algo to this dataset is called Training the algo - once
trained, can use on other new inputs
Labeled Dataset - Answer: one that contains matched sets of
observed outputs and inputs
, Features - Answer: X's or independent variables
2 categories of Supervised Learning - Answer: 1. Regression
problems - If target y is continuous
2. Classification problems - if the target is categorical or
ordinal (ranked category) - focuses on sorting observations
into distinct categories
- determined by nature of target Y
The Target - Answer: Y or dependent variable
Unsupervised Learning - Answer: machine learning that does
not make use of labeled data, we have inputs (Xs) that are
used for analysis without any target Y being supplied
- algo seeks to discover structure within the data themselves
2 Main types of problems that are well-suited to unsupervised
machine learning - Answer: 1. Dimension Reduction
2. Clustering
Comprehensive Study Guide + Exam
Questions & Solutions Graded A+
Professional Academic Assistance Services
Services Offered
• Proctored Exam Assistance
• Online Class Management (Full Course Support)
• Exam Preparation & Study Materials
• Assignments and Coursework Support
• Essay and Research Paper Writing
• Discussion Posts & Responses
• Editing and Proofreading
• Confidential Academic Consultation
Contact Information
Email:
WhatsApp link: https://wa.me/254704846336
Fast Response | Confidential | Reliable Academic
Support
Helping Students Achieve Academic Excellence
,Machine Learning - Answer: "find the pattern, apply the
pattern"
- better able than statistical approaches to handle problems
with many variables (high dimensionality) or with a high
degree of non-linearity
3 Distinct Classes of Techniques of Machine Learning -
Answer: 1. Supervised learning
2. Unsupervised learning
3. Deep learning
Supervised Learning - Answer: involves machine learning
algorithms that infer patterns between a set of inputs (the X's)
and the desired output (Y) - then used to map a given input
set into a predicted output
- requires a labeled dataset
- applying algo to this dataset is called Training the algo - once
trained, can use on other new inputs
Labeled Dataset - Answer: one that contains matched sets of
observed outputs and inputs
, Features - Answer: X's or independent variables
2 categories of Supervised Learning - Answer: 1. Regression
problems - If target y is continuous
2. Classification problems - if the target is categorical or
ordinal (ranked category) - focuses on sorting observations
into distinct categories
- determined by nature of target Y
The Target - Answer: Y or dependent variable
Unsupervised Learning - Answer: machine learning that does
not make use of labeled data, we have inputs (Xs) that are
used for analysis without any target Y being supplied
- algo seeks to discover structure within the data themselves
2 Main types of problems that are well-suited to unsupervised
machine learning - Answer: 1. Dimension Reduction
2. Clustering
