Pickl AI

JULY 28, 2023

Image Recognition using Machine Learning and MATLAB: With the advent of Machine Learning , it is now possible for computers to recognize and decipher objects, patterns, and other properties in digital photographs. Image Recognition aims to assign labels or categories to the entire image based on its content. Why Image Recognition Matters?

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This project uses various advanced techniques like CNNs, VGGs, XGBoost, etc for performing 7 disease detections. This is one of the best Machine learning projects in Python. I myself made this as my final year major project.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

DataRobot Blog

FEBRUARY 2, 2023

Learn how you can easily deploy a pre-trained foundation model using the DataRobot MLOps capabilities, then put the model into production. These models are trained on massive amounts of text data using deep learning algorithms. Then you can use the model to perform tasks such as text generation, classification, and translation.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning ML 52

The MLOps Blog

JUNE 27, 2023

For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services. As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Google Research AI blog

FEBRUARY 28, 2023

We at Google see it as our responsibility to disseminate our work as contributing members of the scientific community and to help train the next generation of researchers. This plot shows the cumulative engagement drops prevented using our restless multi-armed bandit model (RMAB) compared to the control group (Round Robin).

ML 72

ML ML Deep Learning Deep Learning 72

PyImageSearch

MAY 15, 2023

In our previous OAK-102 series tutorial : We trained the YOLOv8 object detection model in the PyTorch framework using the Ultralytics repository. To perform hand gesture recognition on the OAK device , we would optimize the PyTorch model weights into the MyriadX blob file format using the Luxonis toolkit.

Deep Learning 102

Deep Learning Deep Learning Python Algorithm 102

Explosion

JANUARY 31, 2021

You can write models powering spaCy components in frameworks like PyTorch or TensorFlow, using our awesome new configuration system to describe all of your settings. You can use any pretrained transformer to train your own pipelines, and even share one transformer between multiple components with multi-task learning. spaCy v3.0

Python 52

Python Machine Learning Machine Learning Data Science 52

Explosion

OCTOBER 18, 2016

This post introduces you to the changes, and shows you how to use the new custom pipeline functionality to add a Keras -powered LSTM sentiment analysis model into a spaCy pipeline. The clearest finding has been the need for more tutorials. We’re currently working on a new and improved tutorials section for the site.

Deep Learning 52

Deep Learning Deep Learning Python 52

PyImageSearch

DECEMBER 18, 2023

From healthcare and education to finance and arts, the demos covered a wide spectrum of industries and use cases. His work is particularly interesting because it touches upon one of the most exciting areas in generative AI. But again, stick around for a surprise demo at the end. ?

ML 67

ML ML Deep Learning Deep Learning 67

PyImageSearch

MAY 1, 2023

Furthermore, since this tutorial acts as a strong base for an upcoming tutorial, the trained YOLOv8 variant should be able to run inference in near real-time on the OpenCV AI Kit (OAK) that comes powered with the Intel MyriadX neural hardware accelerator. And today’s tutorial is all about experimenting with YOLOv8 but for OAK-D.

Deep Learning 107

Deep Learning Deep Learning Python Algorithm 107

The MLOps Blog

MARCH 21, 2023

Not only does the platform give your team the tools and infrastructure they need to build and operate models at scale, but it also applies standard engineering and MLOps principles to all use cases. Generally, people say they do MLOps to make the development and maintenance of production machine learning seamless and efficient.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69