O'Reilly on Data

AUGUST 4, 2022

In the 1950s, machine translation of Russian into English was considered to be no more complex than dictionary lookups and templated phrases. The claim is that AGI is now simply a matter of improving performance, both in hardware and software, and making models bigger, using more data and more kinds of data across more modes.

Machine Learning 343

Machine Learning Modeling Statistics Software 343

AWS Big Data

MAY 4, 2023

Welcome to the era of data. The sheer volume of data captured daily continues to grow, calling for platforms and solutions to evolve. The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe.

Data Processing 121

Data Processing Metadata Informatics Interactive 121

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. The Importance of Exploratory Analytics in the Data Science Lifecycle. Exploratory analysis is a critical component of the data science lifecycle. For one, Python remains the leading language for data science research. ref: [link].

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Peter James Thomas

OCTOBER 1, 2019

The recent update of The Data & Analytics Dictionary featured an entry on Charts. Entries in The Dictionary are intended to be relatively brief [1] and also the layout does not allow for many illustrations. Bubble Charts are used to display three dimensions of data on a two dimensional chart. Introduction.

Sales 61

Sales Measurement Statistics Data Architecture 61

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Preprocessing Natural Language Data. Example 11.4

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Insight

JULY 23, 2019

I frequently run into this issue in my data science workflow with complex objects in libraries, like TensorFlow. kwonlydefaults is a dictionary with keyword-only arg default values. annotations is a dictionary specifying any type annotations. args contains the argument names. kwonlyargs lists names of keyword-only args.

Data Science 55

Data Science Testing IT Machine Learning 55

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing 68

Testing Modeling Interactive Measurement 68