Towards AI

FEBRUARY 18, 2024

This historical sales data covers sales information from 2010–02–05 to 2012–11–01. So let’s filter out and keep only a handful of data to perform the analysis. Data Preparation It’s time me filter out the unnecessary records to make it easier to visualize the dataset. df['Store'] = df['Store'].astype('category')df['Dept']

Python 113

Python Data Preparation Algorithm AI 113

DataRobot

DECEMBER 12, 2019

Back in 2012, Harvard Business Review called data scientists “the sexiest job of the 21st century.” That may or may not be true, but I do believe that one of the hardest jobs in the latter half of this decade is that of the executive responsible for developing and implementing AI strategy in the enterprise.

Data Preparation 19

Data Preparation Data Scientist AI AI 19

AWS Machine Learning Blog

AUGUST 4, 2023

Train a recommendation model in SageMaker Studio using training data that was prepared using SageMaker Data Wrangler. The real-time inference call data is first passed to the SageMaker Data Wrangler container in the inference pipeline, where it is preprocessed and passed to the trained model for product recommendation.

ML 78

ML ML AWS AI 78

Tableau

FEBRUARY 24, 2021

As data science work grew in complexity, data scientists became less generalized and more specialized, often engaged in specific aspects of data science work. as early as 2012 already identified this trend, which has only accelerated over time. Interviews conducted by Harris et al.

Data Science 97

Data Science Data Scientist Data Visualization Computer Science 97

Heartbeat

AUGUST 21, 2023

AlexNet is a more profound and complex CNN architecture developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton in 2012. The data should be split into training, validation, and testing sets. It has eight layers, five of which are convolutional and three fully linked.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning ML 52

Tableau

FEBRUARY 24, 2021

As data science work grew in complexity, data scientists became less generalized and more specialized, often engaged in specific aspects of data science work. as early as 2012 already identified this trend, which has only accelerated over time. Interviews conducted by Harris et al.

Data Science 52

Data Science Data Scientist Data Visualization Computer Science 52

AWS Machine Learning Blog

AUGUST 22, 2023

We’re excited to announce Amazon SageMaker Data Wrangler support for Amazon S3 Access Points. In this post, we walk you through importing data from, and exporting data to, an S3 access point in SageMaker Data Wrangler.

AWS 68

AWS Data Preparation Data Science Artificial Intelligence 68