ODSC - Open Data Science

SEPTEMBER 22, 2023

Previously, he served in a number of executive roles at IBM spanning product, engineering, and sales that were focused on taking cutting-edge data science, machine learning, and AI offerings to market. Alex Watson | Co-Founder | Gretel AI Alex has been a trailblazer in the technology sector, focusing on data security and innovation.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

Towards AI

AUGUST 8, 2024

Other Cloud Providers: TensorFlow works well with other cloud platforms such as AWS and Azure, supporting scalable deployment and training in cloud environments. What is PyTorch PyTorch is an open-source deep learning framework developed by Facebook and released in 2016. So, let’s take a look at PyTorch.

Deep Learning 105

Deep Learning Deep Learning Machine Learning Machine Learning 105

IBM Journey to AI blog

SEPTEMBER 11, 2023

Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. In 2016, Db2 for z/OS moved to a continuous delivery model that provides new capabilities and enhancements through the service stream in just weeks (and sometimes days) instead of multi-year release cycles.

Database 101

Database SQL Data Warehouse Machine Learning 101

DagsHub

JULY 25, 2024

Further Reading TensorFlow Documentation TensorFlow Tutorials PyTorch PyTorch, developed by Facebook's AI Research Lab (FAIR) , was released in 2016. Founded in 2016, HuggingFace has strongly impacted the field of NLP with its easy-to-use APIs and pre-trained models. Notable Use Cases in the Industry H2O.ai Guidance for Use H2O.ai

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

APRIL 18, 2023

Inference example Output from GPT-J 6B Before Fine-Tuning Output from GPT-J 6B After Fine-Tuning This Form 10-K report shows that This Form 10-K report shows that: The Companys net income attributable to the Company for the year ended December 31, 2016 was $3,923,000, or $0.21 per diluted share, compared to $3,818,000, or $0.21

ML 90

ML ML Deep Learning Deep Learning 90

DagsHub

APRIL 7, 2024

Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Mlearning.ai

JULY 9, 2023

⏱️Performance benchmarking Let’s try it on Kaggle competition dataset based on the 2016 NYC Yellow Cab trip record data and see the numbers using different libraries. Submission Suggestions Data Analysis at Warp Speed: Explore the World of Polars was originally published in MLearning.ai Automatic query optimization in lazy mode.

Data Analysis 52

Data Analysis Data Analysis Python Data Scientist 52

AWS Machine Learning Blog

APRIL 18, 2023

Inference example Output from GPT-J 6B Before Fine-Tuning Output from GPT-J 6B After Fine-Tuning This Form 10-K report shows that This Form 10-K report shows that: The Companys net income attributable to the Company for the year ended December 31, 2016 was $3,923,000, or $0.21 per diluted share, compared to $3,818,000, or $0.21

ML 52

ML ML Deep Learning Deep Learning 52

Pickl AI

AUGUST 22, 2024

First released in 2016, it quickly gained traction due to its intuitive design and robust capabilities. Integration with Other Platforms and Services TensorFlow and PyTorch support integration with various platforms and services, including AWS, Google Cloud, and Azure.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 30, 2023

While being the well-deserved Switzerland’s #1 since 2016, time will tell whether he pushes Manuel Neuer off the throne in Munich. Therefore, it’s no surprise that determining the proficiency of goalkeepers in preventing the ball from entering the net is considered one of the most difficult tasks in football data analysis.

Machine Learning 97

Machine Learning Machine Learning AWS ML 97

DrivenData Labs

MAY 1, 2025

Social Determinants of Health Track ¶ In this track, participants predicted cognitive function using longitudinal survey data from the Mexican Health and Aging Study (MHAS) , a population-representative national study of older adults in Mexico. Fangjing Wu is a data science master's student.

Decision Trees 147

Decision Trees Clustering Algorithm Machine Learning 147