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ChatGPT: opportunity and risk for the profession

OpenAI’s ChatGPT can answer questions to an impressive level of detail, but it needs work to address some significant issues before it could prove useful in audit and accountancy. ....

Esther Mallowah , Pandas Dataframe , Lian Pay , Data Analytics , Tech Policy ,

Time series forecasting with ARMA and InfluxDB

Autoregressive moving average models have a number of advantages including simplicity. Here’s how to use an ARMA model with InfluxDB. ....

Pandas Dataframe , Air Sensor ,

Unified MLOps: Feature Stores and Model Deployment

Monte Zweben proposes a whole new approach to MLOps that allows to scale models without increasing latency by merging a database, a feature store, and machine learning. ....

Monte Zweben , Group Bys , How Do You Usea Feature , Im Monte Zweben , Splice Machine , Compute Engine , Spark Dataframe , Domino Data Labs , Cloud Storage , Disconnected Compute , Compute Engines , Apache Spark , Jupyter Notebook , Pandas Dataframe , Spark Dataframes ,

Complete Hands On Pandas Bootcamp with a Real World Project

[img]https://b.radikal.ru/b00/2110/98/4d0ad46396ba.jpg[/img] [b]Complete Hands On Pandas Bootcamp with a Real World Project[/b] MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 31 lectures (3h 22m) | Size: 899 Master powerful pandas library. ....

Pandas Library , Hands On Pandas Bootcamp , Real World , Pandas Series Methods , Reshaping With , Pandas Dataframe , Real World Datasets , Python Data Science , Statistical Analysis , Machine Learning ,