CIO Business Intelligence

SEPTEMBER 29, 2023

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

Domino Data Lab

FEBRUARY 19, 2021

Parallel/Distributed capabilities with Ray for faster training cycles Wrappers that enable you to bring other frameworks such as PyTorch and TensorFlow. Still, we also note that it doesn’t correctly tag Domino Data Lab as an organization, instead of thinking that it is a person. import spacy.

Enterprise 119

Enterprise Data Science Modeling Visualization 119

Cloudera

JANUARY 30, 2019

Tensorflow, PyTorch, or XGBoost) within isolated project environments. With Cloudera Data Science Workbench, data scientists can: Use R, Python, or Scala along with the scale-out processing capabilities of Apache Spark 2.X X on HDP clusters from a web browser, with no desktop footprint. Utilize GPUs effectively for workload specific needs.

Data Science 72

Data Science Machine Learning Experimentation Cost-Benefit 72

Data Science 101

OCTOBER 12, 2023

“In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious.” I use PyTorch for that. In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious. ” — Lucas A. That’s one of the main uses.

Finance 64

Finance Machine Learning Interactive Manufacturing 64

Domino Data Lab

SEPTEMBER 9, 2019

In the following function get_text() we’ll parse the HTML to find all of the <p/> tags, then extract the text for those: In [10]: from bs4 import BeautifulSoup? Also, a couple super new items to mention: spacy-pytorch-transformers to fine tune (i.e., First, a little housekeeping: In [9]: import sys? import warnings??

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. Datamarts in Power BI.

Data Lake 107

Data Lake Analytics Data Warehouse Machine Learning 107

Smart Data Collective

FEBRUARY 3, 2022

If you PyTorch, you can find its environment as well. Further, each Docker image is tagged, so that your team members remain consistent of the version being used. You can go to the Docker Hub and search Python environment. No matter which environment, the steps are same.

Data Science 118

Data Science Data Processing Testing Big Data 118