FineReport

DECEMBER 19, 2019

For the super rookie, the learning cost and threshold are relatively low, and it is easy to get started. Taking FineReport as an example, it is a BI reporting tool that can connect to various data sources, quickly analyze the data, and make various reports and cool dashboards. It can produce a variety of complex reports.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Cloudera

FEBRUARY 16, 2022

Support for multiple sessions within a project allows data scientists, engineers and operations teams to work independently alongside each other on experimentation, pipeline development, deployment and monitoring activities in parallel. Each AMP consists of a working prototype for a ML use case together with a research report.

Machine Learning 87

Machine Learning Modeling Metadata Recreation/Entertainment 87

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. Code (62%) : Gen AI helps developers write code more efficiently and with fewer errors.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

Smart Data Collective

DECEMBER 24, 2020

What’s Machine Learning Used for Today? Machine learning is being used to write articles in the mainstream news media. The Associated Press uses it to write hundreds of sports news reports every single week. Machine learning remains highly experimental and much of its functionality remains in the development stages.

Machine Learning 96

Machine Learning Experimentation Software Technology 96

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. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

O'Reilly on Data

SEPTEMBER 11, 2019

Spark has emerged as the general-purpose data processing engine of choice; interest in Hadoop is waning, although reports of its death are greatly exaggerated. Deep learning,” for example, fell year over year to No. Data engineering is an intense focus of interest and innovation, with data-in-motion—e.g., 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

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. " Years of proficiency in analyzing m campaigns for n channels resulting in production of z reports. Intro to Machine Learning. Machine Learning.

Marketing 136

Marketing Analytics Machine Learning Strategy 136