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What are neural networks? (Part I)
As I was looking at job postings for a machine learning engineer, I looked at the job description and one of the requirements is knowledge of deep learning and PyTorch. For the traditional data scientist, deep learning is typically not part of the repertoire of studies, typically a part of the study of computer science…
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Google AI Links
Google recently had a the Google Cloud Next ’24 Conference and here are some YouTube links of the some relevant links.
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Some Python interview questions (Part IV)
I recently encountered another technical interview which posed the question in an online coding debug format. The interviewer gave me a URL from SharePad.io and asked the question: “Do you see anything wrong with the code?” The interviewer gave me about 5 to 10 minutes while he watched. The process was intimidating and there was…
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Some Python interview questions (Part III)
In Part II we talked about decorators and how they can be used to modify the behavior of a function or class without repeating code. Today we will continue to the final interview question: The method iterrows() comes from a popular data science library pandas. The core data structure in pandasis a DataFrame, a two…
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Transformers, BERT, and GPT (Chapter 4)
I’m reading a book recently called Transformer, BERT, and GPT: Including ChatGPT and Prompt Engineering by Oswald Campesato (2024). The book is divided into 10 Chapters. Here is a summary of the fourth chapter (Transformer Architecture in Greater Depth). Input tokens are converted into word embeddings (a map of words to real-valued vectors) and from…
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