Our Machine Learning Workflow

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Artificial Intelligence gets a lot of press. LinkedIn timelines are especially filled with daily barrages of AI news. And with the advent of large language models, which give us very human-like interactions with chatbots like ChatGPT, Gemini, and Claude, the field of artificial intelligence has exploded. Despite the hype, though, AI has been around for many decades.

You Will Learn

• What is Machine Learning?
• Identify Data Sources
• Centralizing Data
• Scrubbing and Cleaning
• Descriptive Statistics
• Inferential Statistics
• Training Data
• Types of Learning
• Clustering
• Dimensionality Reduction
• Regressions
• Classification
• Trees
• Deep Learning
• Recommendation Systems
• Putting it all Together

Machine learning (and data science) is a workflow. It starts by identifying and centralizing valuable data, then scrubbing and cleaning it to make it trustworthy.