Machine Learning & Artificial Intelligence (AI)

/Machine Learning & Artificial Intelligence (AI)

Principal Component Analysis (PCA) in Machine Learning I Machine Learning- Part 3

2018-12-27T21:19:28+00:00

Principal Component Analysis (PCA) in Machine Learning PCA is an unsupervised machine learning algorithm that discovers relationships between variables and reduces these variables to a set of uncorrelated synthetic representations called principal components. Principal components are synthetic representations of a data set. Principal components contain all of the data set's important information but do not include the noise, information redundancy and outliers that were present in the original data set. Suppose you work for a major grocery store chain and you've got some data that was generated by customers making purchases with their rewards card. The data set describes customers and the products they purchase. You need to identify what key [...]

Principal Component Analysis (PCA) in Machine Learning I Machine Learning- Part 3 2018-12-27T21:19:28+00:00

Factor Analysis in Machine Learning I Machine Learning- Part 2

2018-12-01T12:03:48+00:00

Factor Analysis in Machine Learning Factor Analysis in Machine Learning Factor analysis is a regression method applied to discover root causes or hidden factors that are present in the data set but not observable. For example, say you're a marketing data scientist, who has to identify actionable customer segments for use in strategic marketing planning. You've got response data from a customer survey, you can apply factor analysis as a simple way to group respondents into meaningful customer segments based on similarities in how respondents answered a specific subset of survey questions. Technically, factor analysis is a method used to regress on features in [...]

Factor Analysis in Machine Learning I Machine Learning- Part 2 2018-12-01T12:03:48+00:00

Introduction to Machine Learning I Machine Learning- Part 1

2018-12-01T12:09:55+00:00

Introduction to Machine Learning Introduction to Machine Learning What is Machine Learning? Machine learning is the brains behind Artificial Intelligence (AI technologies), and AI technologies do the actions. More technically, it is the process of applying algorithmic analytical models to pre-processed data in iterations to facilitate the discovery of hidden patterns or trends that are useful for making predictions. In machine learning, we usually break your data into test and training sets. We use random sampling to generate random samples and then break the data into these sets: Training set- 2/3rd of your dataset Testing Set- Remaining 1/3rd of your dataset Training set is used to train [...]

Introduction to Machine Learning I Machine Learning- Part 1 2018-12-01T12:09:55+00:00
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