CIO Business Intelligence

APRIL 25, 2022

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. The eight-week fundamentals of data science program teaches students the skills necessary for extracting, analyzing, and processing data using Google Analytics, SQL, Python, Tableau, and machine learning.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smart Data Collective

JULY 1, 2023

The resulting structured data is then used to train a machine learning algorithm. There are a lot of image annotation techniques that can make the process more efficient with deep learning. Organize regular workshops to keep annotators updated with the latest guidelines and any changes in annotation strategies.

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

Rocket-Powered Data Science

DECEMBER 16, 2018

Learn more about meta-learning from these resources: “ From zero to research — An introduction to Meta-learning “ “ What’s New in Deep Learning Research: Understanding Meta-Learning “ “ Learning to Learn “ Meta Learning presentation.

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

CIO Business Intelligence

JUNE 12, 2023

There are sales calls and workshops, and some book meetings right into the calendar. One way to distinguish the more serious players, he adds, could be that instead of speaking broadly about AI, to be more specific and talk about image analysis, natural language, or deep learning. It’s lots of phone calls,” says Svensson. “I

Sales 52

Sales Machine Learning Experimentation Deep Learning 52

Perceptual Edge

DECEMBER 27, 2017

I’ve ended my public Visual Business Intelligence Workshops and quarterly Visual Business Intelligence Newsletter , in part, to make time for other ventures. Deep learning. You have perhaps noticed that here, in my Perceptual Edge blog articles, I sometimes veer from data visualization to reflect my broader interests.

Deep Learning 48

Deep Learning Visualization Business Intelligence Technology 48

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Methods for explaining Deep Learning.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

bridgei2i

APRIL 13, 2020

To be fair, Computer Vision as the software has been at a tipping point and will reach its peak due to the hype cycle in the next few months, undoubtedly spiking massive advances in deep learning algorithms and graphic processors. Healthcare: CV tech is being used increasingly in early-stage disease detection and diagnosis.

Insurance 52

Insurance Manufacturing Deep Learning Enterprise 52

O'Reilly on Data

DECEMBER 12, 2019

If you’re using Python and deep learning libraries, the CleverHans and Foolbox packages can also help you debug models and find adversarial examples. 2] The Security of Machine Learning. [3] Figure 1 illustrates an example adversarial search for an example credit default ML model. If so, have fun debugging! [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

O'Reilly on Data

MARCH 20, 2019

Watermarking is a term borrowed from the deep learning security literature that often refers to putting special pixels into an image to trigger a desired outcome from your model. A lot of the contemporary academic machine learning security literature focuses on adaptive learning, deep learning, and encryption.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

Insight

AUGUST 17, 2020

Coaching & Development Team provides high-quality training, coaching, and feedback via workshops and small group sessions, helping Fellows identify the best roles at this stage of their careers and build the self-awareness and confidence to communicate their unique value-add. necessary to ensure the success of each Fellow. Thank you!” “I

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63

Cloudera

NOVEMBER 15, 2021

Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. The activity in the field of learning with limited data is reflected in a variety of courses , workshops , reports , blogs and a large number of academic papers (a curated list of which can be found here ).

Unstructured Data 88

Unstructured Data Recreation/Entertainment Structured Data Reporting 88

IBM Big Data Hub

FEBRUARY 19, 2024

The data platform offers data-enriched data products that use machine learning, deep learning and generative AI. We recommend a discovery workshop where you’ll explore your data and AI ambitions to determine your first data product.

Cost-Benefit 66

Cost-Benefit Data-driven Optimization Marketing 66

Domino Data Lab

MAY 8, 2019

For example, in the case of more recent deep learning work, a complete explanation might be possible: it might also entail an incomprehensible number of parameters. Data-related events to mark on your calendars: Jupyter Community Workshop , May 16-17 in Paris. Generally, you cannot get both. Upcoming events.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JULY 22, 2019

and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. They’d like to do something more efficient when they’re training a lot of deep learning models. Now, we have low-power devices and inference running on them.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

DataRobot Blog

FEBRUARY 2, 2023

The creation of foundation models is one of the key developments in the field of large language models that is creating a lot of excitement and interest amongst data scientists and machine learning engineers. These models are trained on massive amounts of text data using deep learning algorithms.

Modeling 52

Modeling Machine Learning Data Processing Interactive 52