Snorkel AI

FEBRUARY 2, 2023

Job categories. Here’s a description of each entity: In the pipeline we’re developing, we’ll generate job/category pairs for every job listing, and then use a binary classifier to predict whether the job listing belongs to the job category. We’ll receive two datasets: The job listings in the payroll system.

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Snorkel AI

FEBRUARY 2, 2023

Job categories. Here’s a description of each entity: In the pipeline we’re developing, we’ll generate job/category pairs for every job listing, and then use a binary classifier to predict whether the job listing belongs to the job category. We’ll receive two datasets: The job listings in the payroll system.

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Machine Learning Machine Learning ML ML 52

Defined.ai blog

JANUARY 31, 2023

It will, explaining why literature like The Great Gatsby or The Grapes of Wrath are still relevant today to one student, while allowing another student to explore linked concepts in biology and chemistry at their 10th grade level. The possibilities for leveraging these foundation models to improve innovative enterprises are virtually endless.

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Mlearning.ai

OCTOBER 23, 2023

There are numerous applications now, including simulating the behavior of dynamic systems such as proteins in biology or self-driving vehicles on the streets and so on. The paper has mentioned developed architectures in these four categories with their limitations. A growing focus for all, researchers, companies, and investors.

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Pickl AI

AUGUST 29, 2023

It models the relationship between the predictor variables and the log-odds of the response variable being in a particular category. Interdisciplinary Applications: Statistical modeling is applicable in diverse fields such as economics, psychology, biology, engineering, social sciences, and more, making it a versatile skill.

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Tableau

FEBRUARY 24, 2021

The practice of gathering and analyzing data, even large amounts of data, has long been a part of scientific research, for example in biology or physics; many feel that data science is just an extension of what has already been happening in empirical science. Three primary perspectives on what data science is.

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Smart Data Collective

JUNE 4, 2021

Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. In classification, the category of observation is predicted. In conventional programming, the programmer understands the business needs, data, and writes the logic. Deep Learning.

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Tableau

FEBRUARY 24, 2021

The practice of gathering and analyzing data, even large amounts of data, has long been a part of scientific research, for example in biology or physics; many feel that data science is just an extension of what has already been happening in empirical science. Three primary perspectives on what data science is.

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Applied Data Science

OCTOBER 25, 2021

You can see your visuals as belonging to one of these two broad categories: plots for displaying statistical analysis. Regardless of the form you choose to present it, be it a report, a Jupyter notebook or a presentation, your story needs to revolve less around numbers and more around visuals.

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O'Reilly Media

APRIL 23, 2024

The answer can be found in the theory of economic rents, and in particular, in the kinds of rents that are collected by companies during different stages of the technology business cycle. Yet many of the most pressing risks are economic , embedded in the financial aims of the companies that control and manage AI systems and services.

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Mlearning.ai

FEBRUARY 24, 2023

production_long%>% filter(category%in%c("gvg", "m2"))%>% ggplot(., aes(x=Datum, y=mean, col=category))+geom_line()+ labs(col="Outcome", x="Date", y="Value") They are for sure on different scales. production_long%>% filter(category%in%c("gvg"))%>% ggplot(.)+

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Hacker News

MARCH 15, 2023

But it also highlights how significant our specifics—our particular history, biology, etc.—are. Not to mention the need for prompt engineers (a job category that just didn’t exist until a few months ago), and what amount to AI wranglers, AI psychologists, etc. It’s very much like with ChatGPT. So how does it work for us humans?

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DrivenData Labs

MARCH 30, 2023

The financial crime detection track definitely fell in that category! Hyunghoon Cho is a Schmidt Fellow at Broad Institute, where his research involves solving problems in the areas of biomedical privacy, genomics, and network biology with novel computational methods.

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Pickl AI

MAY 10, 2023

ML algorithms fall into various categories which can be generally characterised as Regression, Clustering, and Classification. Clustering refers to the Machine Learning technique that belongs from the category of unsupervised learning.

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Dataconomy

APRIL 6, 2023

Reminder: Image segmentation is a fundamental task in computer vision that aims to partition an image into regions that correspond to different objects or semantic categories and has many applications, such as object detection, scene understanding, image editing, and video analysis. One day, it might even benefit farmers and scientists.

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Dataconomy

APRIL 6, 2023

Reminder: Image segmentation is a fundamental task in computer vision that aims to partition an image into regions that correspond to different objects or semantic categories and has many applications, such as object detection, scene understanding, image editing, and video analysis. One day, it might even benefit farmers and scientists.

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AWS Machine Learning Blog

APRIL 19, 2024

Beyond creating differentiated AI tools, we have established an integrated platform that merges AI software, cloud-based data, scalable computation infrastructure, and high-throughput chemistry and biology capabilities. The generated data points are automatically processed and used to fine-tune our AI models every week.

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AssemblyAI

MARCH 21, 2023

The following figure aims at illustrating the distribution of GNN papers across 22 categories. Distribution of GNN papers across 22 distinct categories ( source ) As we can see, GNNs have seen impressive growth in AI research and their impact is distributed across vastly different domains. Enjoyed this article?

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Dataconomy

JULY 18, 2023

Miscellaneous Additional behaviors in swarm robotics do not fit into the previous categories but remain integral to the field. If the swarm exceeds the desired group size, it can autonomously split into multiple groups, promoting efficient organization and scalability.

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Snorkel AI

OCTOBER 31, 2023

These papers from Snorkel researchers include benchmarks, datasets, and models for specific data domains (including healthcare, biology, and law), and reflect an increasing trend in using advancements in computer science and machine learning research to solve tangible problems in specific research fields and industries.

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Flipboard

MARCH 14, 2023

While “Survive and thrive by helping your kin” was not the way my evolutionary biology professor in college explained kin selection … it’s a lot catchier than anything you’ll find in a textbook. This is what it delivered: Prompts by Ethan Mollick Bing creates a table comparing psychological, biological, and ethical altruism on command.

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Hacker News

JANUARY 9, 2024

One category is LLM functions, that effectively use LLMs as “internal algorithms” for operations in Wolfram Language: In typical Wolfram Language fashion, we have a symbolic representation for LLMs: LLMConfiguration [ … ] represents an LLM with its various parameters, promptings, etc. One category concerns the structure of answers.

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AWS Machine Learning Blog

FEBRUARY 5, 2024

SageMaker geospatial offers a rich data catalog, including datasets from USGS Landsat-8, Sentinel-1, Sentinel-2, and others. It is also possible to bring in other datasets, such as high-resolution imagery from Planet Labs. fillna(0) df1['totalpixels'] = df1.sum(axis=1) fillna(0) allDf[col] = allDf.groupby(idCols + ['year'])[col].transform(lambda

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Hacker News

NOVEMBER 10, 2021

The global structures of metamathematics , economics , linguistics and evolutionary biology seem likely to provide examples—and in each case we can expect that at the core is the ruliad, with its unique structure. The result is that we can build up a whole hierarchy of higher and higher categories, eventually ending with an ?-category.

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Mlearning.ai

APRIL 13, 2023

Linearly vs. Non-linearly Separable Data Linearly separable data is data that can be separated into different classes or categories by a single straight line, or hyperplane, in the feature space. SVM finds the decision boundary by maximizing its distance from the Support Vectors [3].

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Dataconomy

APRIL 25, 2023

In this blog post, we will introduce you to some of the best AI tools that you can try right now, sorted by category. Fun fact: Best AI tools can enhance the accuracy and efficiency of scientific research, particularly in fields such as biology and chemistry.

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AWS Machine Learning Blog

JANUARY 17, 2024

As long as the environmental variables fall into one of the following categories, compilation of Neuron graphs will be skipped. The Dolly dataset contains approximately 15,000 instruction-following records for various categories, such as, question answering, summarization, and information extraction. It is available under the Apache 2.0

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Flipboard

NOVEMBER 22, 2023

Full list of new or updated datasets This dataset joins 33 other new or updated datasets on the Registry of Open Data in four categories: climate and weather, geospatial, life sciences, and machine learning (ML). 94-171) Demonstration Noisy Measurement File from United States Census Bureau What are people doing with open data?

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IBM Journey to AI blog

MARCH 20, 2024

Public cloud service models Today’s cloud providers offer hundreds of managed services and tools across four main categories. chemistry, biology, healthcare, finance) are beginning to tap into quantum’s potential to transform the way they do business.

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Flipboard

AUGUST 1, 2023

One category of proposals deals with how AI systems interface with existing rules around copyright, privacy, and bias based on race, gender, sexual orientation, and disability. That — plus the sheer importance of an emerging technology like AI — makes it worth digging a little deeper into what action in DC might involve.

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