Sublime
An inspiration engine for ideas
She typed: "kaggle book dataset" And lo and behold— The 7K Books Dataset. 7,000 books, with: ● ISBNs (whatever, fine) ● Titles & subtitles (useful) ● Authors (sure) ● Categories (interesting…) ● A thumbnail image of the cover (not helpful but nice to look at) ● A description of the book Bingo. Book descriptions. That was the jackpot. That’s what
... See moreLeandro Calado • LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio)
The analytics techniques, processes, and systems within organizations will be strained up to, or even beyond, their limits. It will be necessary to develop additional analysis techniques and processes utilizing updated technologies and methods in order
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
Analytic professionals will initially probably spend at least 95 percent, if not close to 100 percent, of their time just figuring out a big data source before they can even think about doing in-depth analysis with it.
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
pattern recognition, statistical modeling, data mining, knowledge discovery, predictive analytics, data science, adaptive systems, self-organizing systems,
Pedro Domingos • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Patterns when telling stories with data: - What is the dataset? Who generated the dataset and why? - What is the process that underpins the dataset? Given that process, what is missing from the dataset or has been poorly measured? Could other datasets have been generated, and if so, how different could they have been to the one that we have? - What
... See moreHow I'd Learn Data Science In 2024 (If I Could Restart) - The Ultimate Roadmap
youtube.com
