IBM Big Data Hub

MARCH 27, 2024

These innovations have showcased strong performance in comparison to conventional machine learning (ML) models, particularly in scenarios where labelled data is in short supply. The experimental results indicate that fine-tuned LLMs exhibit significant improvements over the zero-shot classification approach.

Experimentation 75

Experimentation Modeling Deep Learning Data-driven 75

Domino Data Lab

OCTOBER 14, 2020

The introduction of machine learning to the agricultural domain is relatively new. To enable a digital transformation in agriculture we must experiment and learn quickly across the entire model lifecycle. Experimentation and collaboration are built into the core of the platform. Accelerating Knowledge Gain in Agriculture.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99

Domino Data Lab

APRIL 7, 2019

A good NLP library will, for example, correctly transform free text sentences into structured features (like cost per hour and is diabetic ), that easily feed into a machine learning (ML) or deep learning (DL) pipeline (like predict monthly cost and classify high risk patients ). Functionality comparison cheat sheet.

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

Cloudera

AUGUST 20, 2020

Machine Learning (ML) and Artificial Intelligence (AI), while still emerging technologies inside of enterprise organisations, have given some companies the ability to dynamically change their fortunes and reshape the way they are doing business — that is if they are brave enough to experiment and explore the unknown.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

CDW Research Hub

AUGUST 21, 2019

Finally, perhaps the biggest obstacle faced when adopting an AI project is the time it takes to configure the server, prepare the data, build and train the model, and deploy and infer for deep learning. The kit helps facilitate clients’ AI adoption journey from experimentation to production.

Strategy 45

Strategy Deep Learning Machine Learning Experimentation 45

Domino Data Lab

FEBRUARY 12, 2020

this post on the Ray project blog ?. Ray is an open-source system for scaling Python applications from single machines to large clusters. for reinforcement learning (RL), ? Motivations for Ray: Training a Reinforcement Learning (RL) Model. RL is the type of machine learning that was used recently to ?beat

Experimentation 137

Experimentation Modeling Data Science Management 137

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. Intro to Machine Learning. Machine Learning.

Marketing 136

Marketing Analytics Machine Learning Strategy 136