The MLOps Blog

DECEMBER 19, 2022

Traditional Machine Learning and Deep Learning methods are used to solve Multiclass Classification problems, but the model’s complexity increases as the number of classes increases. Particularly in Deep Learning, the network size increases as the number of classes increases. Let’s take a look at some of them.

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Pickl AI

JULY 26, 2023

Highly Flexible Neural Networks Deep neural networks with a large number of layers and parameters have the potential to memorize the training data, resulting in high variance. K-Nearest Neighbors with Small k I n the k-nearest neighbours algorithm, choosing a small value of k can lead to high variance.

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Pickl AI

JULY 17, 2023

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. There are two types of Machine Learning techniques, including supervised and unsupervised learning. What is Unsupervised Machine Learning?

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IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. What is machine learning? Here, we’ll discuss the five major types and their applications.

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Mlearning.ai

NOVEMBER 29, 2023

All the previously, recently, and currently collected data is used as input for time series forecasting where future trends, seasonal changes, irregularities, and such are elaborated based on complex math-driven algorithms. And with machine learning, time series forecasting becomes faster, more precise, and more efficient in the long run.

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ODSC - Open Data Science

JANUARY 5, 2024

Scikit-learn A machine learning powerhouse, Scikit-learn provides a vast collection of algorithms and tools, making it a go-to library for many data scientists. Scikit-learn is also open-source, which makes it a popular choice for both academic and commercial use. Learn more about our upcoming events here.

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Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. Active learning is a really powerful data selection technique for reducing labeling costs.

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Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. Active learning is a really powerful data selection technique for reducing labeling costs.

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Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. Active learning is a really powerful data selection technique for reducing labeling costs.

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Mlearning.ai

MAY 21, 2023

If you are interested in exploring machine learning and want to dive into practical implementation, working on machine learning projects with source code is an excellent way to start. These projects also enable you to grasp the practical aspects of solving real-world problems using machine-learning techniques.

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Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This list will consist of Machine learning projects, Deep Learning Projects, Computer Vision Projects , and all other types of interesting projects with source codes also provided. This is a simple project.

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Google Research AI blog

AUGUST 15, 2023

We developed the STUDY algorithm in partnership with Learning Ally , an educational nonprofit, aimed at promoting reading in dyslexic students, that provides audiobooks to students through a school-wide subscription program. We evaluate the model on the entire test set (all) as well as the novel and non-continuation splits.

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Google Research AI blog

NOVEMBER 28, 2022

Organizing Committee General Chairs includes: Sanmi Koyejo Program Chairs include: Alekh Agarwal Workshop Chairs include: Hanie Sedghi Tutorial Chairs include: Adji Bousso Dieng , Jessica Schrouff Affinity Workshop Chair: Adji Bousso Dieng , Jessica Schrouff Program Committee, Senior Area Chairs include: Corinna Cortes , Claudio Gentile , Mohammad (..)

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