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datapine
NOVEMBER 27, 2019
Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.
O'Reilly on Data
MARCH 24, 2020
In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational? Re-analyzing existing data is often very bad.”
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O'Reilly on Data
SEPTEMBER 15, 2021
In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.
datapine
AUGUST 14, 2019
Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.
datapine
APRIL 16, 2019
The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward.
O'Reilly on Data
MARCH 20, 2019
The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. Data poisoning attacks. Data poisoning attacks have also been called “causative” attacks.)
O'Reilly on Data
MARCH 23, 2023
ChatGPT supports conversations; it remembers what you have said, so you don’t have to paste in the entire history with each prompt, as you did with GPT-3. Unlike labels, embeddings are learned from the training data, not produced by humans. The design of Transformers lends itself to large sets of training data.
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