Bugra Akyildiz

MAY 12, 2024

Articles Apple wrote a blog post that presents a hybrid machine learning approach for personalizing heart rate prediction during exercise by combining a physiological model based on ordinary differential equations (ODEs) with neural networks and representation learning. on heart rate dynamics.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model.

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Algorithm Auto-complete ML Python 89

ODSC - Open Data Science

MARCH 24, 2023

Top Data Analytics Skills and Platforms for 2023, PyTorch 2.0 Released, and 5 Huge Data Science Career Mistakes Top Data Analytics Skills and Platforms for 2023 We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023.

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Data Ingestion Machine Learning Data Science NLP 52

Unite.AI

JULY 13, 2023

We’ll explore the main features of Jasper AI, learn how to harness its full potential, compare its pros and cons, and ultimately determine if this tool is the perfect fit for your needs. Jasper is an AI writing tool that uses Natural Language Processing (NLP) and machine learning algorithms to write human-like text in real time.

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Pickl AI

JUNE 7, 2023

Some of the Data Science Projects on Github that you work upon have been listed in this blog. Top 10 Best Data Science Project on Github 1. Kaggle Bike Sharing Bike-sharing systems is one of the best Data Science project on Github that allows you to book and rent motorbikes/bicycles and return them.

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Topbots

APRIL 11, 2023

As a testament to the remarkable progress in this area, several groundbreaking language models have emerged in recent years, pushing the boundaries of what machines can understand and generate. We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI.

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AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

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Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. However, there is less focus today on the efficiency of the training data itself.

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Defined.ai blog

AUGUST 17, 2023

Building upon our exploration of AI in art , we’ll now drill down into the sphere of the best AI image generators. These innovative tools, powered by artificial intelligence, have revolutionized how we create images, transforming simple text prompts into stunning visuals. Exploring the Top 10 Best AI Image Generators 1.

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Pickl AI

NOVEMBER 3, 2023

Learning Data Science from YouTube is a flexible, cost-effective, and accessible way to gain knowledge and skills in this rapidly growing field. It empowers individuals to take control of their learning journey and stay updated with the latest advancements, making it a beneficial choice for both beginners and experienced professionals.

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Chatbots Life

MARCH 16, 2023

The field of machine learning has been around for over 60 years and has been used to solve some of the most complex problems companies have ever faced. One area in which machine learning can have a dramatic positive impact is through call center data collection. Top call center data collection methods 1.

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Pickl AI

APRIL 10, 2023

One of the biggest challenges that students face after clearing college is to find the right learning platform. So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. Top 5 Colleges to Learn Data Science (Online Platforms) 1.

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AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple.

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AWS Machine Learning Blog

MAY 5, 2023

Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. Solution overview Ground Truth is a fully self-served and managed data labeling service that empowers data scientists, machine learning (ML) engineers, and researchers to build high-quality datasets.

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Metadata Computer Vision Machine Learning Data Scientist 76

Mlearning.ai

AUGUST 3, 2023

Optimizing TFLite Models for On-Edge Machine Learning for Efficiency: A Comparison of Quantization Techniques Introduction In recent years, machine learning models have become increasingly powerful and complex, enabling remarkable advancements in various applications.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing such solutions and models to the business-as-usual operations is not an easy task. Our approach applies to both open-source and proprietary models equally.

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Explosion

JANUARY 29, 2023

We’ve developed a new end-to-end neural coref component for spaCy , improved the speed of our CNN pipelines up to 60%, and published new pre-trained pipelines for Finnish, Korean, Swedish and Croatian. We’ve also released several updates to Prodigy and introduced new recipes to kickstart annotation with zero- or few-shot learning.

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AWS Machine Learning Blog

OCTOBER 31, 2023

To best serve their customers’ needs, Schneider Electric needs to keep track of the links between related customers’ accounts in their ERP systems. Additional Schneider Electric experts include Jesse Miller, Somik Chowdhury, Shaswat Babhulgaonkar, David Watkins, Mark Carlson and Barbara Sleczkowski.

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AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation.

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ML @ CMU

MARCH 31, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. In this post, we first outline our workflow for evaluating XAI methods.

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Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. You can read more about that in blogs, but overall, this can be used in multiple industries.

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Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. You can read more about that in blogs, but overall, this can be used in multiple industries.

AI 59

AI AI Neural Network Deep Learning 59

The MLOps Blog

MARCH 15, 2023

Based on the McKinsey survey , 56% of orgs today are using machine learning in at least one business function. This includes the tools and techniques we used to streamline the ML model development and deployment processes, as well as the measures taken to monitor and maintain models in a production environment.

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The MLOps Blog

JANUARY 18, 2023

Model monitoring is an essential part of the CI/CD pipeline. One of the major issues with any model is that it may perform well in the development phase, but when deployed, it may perform poorly or may even fail. This is especially true with the time series model, as the changes in the dataset can be quite rapid.

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Heartbeat

FEBRUARY 8, 2023

In short, NLP is an essential tool for researchers as it enables them to gain new insights and knowledge, leading to advances in many fields. Because of its consistent syntax and human-like language, it is also one of the languages that are easiest for beginners to learn.

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The MLOps Blog

DECEMBER 19, 2022

Classification is one of the most widely applied areas in Machine Learning. As Data Scientists, we all have worked on an ML classification model. Will the same model architecture work when the number of classes exceeds 10000? Particularly in Deep Learning, the network size increases as the number of classes increases.

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Dlabs.ai

JULY 17, 2020

Sales and marketing are responsible for growing the top line — and AI offers many ways to boost revenues. Today, we’ll look at one specific tool: let’s see how image recognition software can boost your marketing impact. created one such tool for a client: developing a machine-learning algorithm to recognize brand logos in images.

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AWS Machine Learning Blog

APRIL 5, 2023

You want to quickly find a picture that was taken when you and your best friend were in front of your old house’s swimming pool. Contrastive Language-Image Pre-Training (CLIP) is a neural network trained on a variety of image and text pairs. You can use both text and images as queries.

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ML @ CMU

MARCH 30, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. In this post, we first outline our workflow for evaluating XAI methods.

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Shreyansh Singh

JANUARY 24, 2021

After my last post on deploying Machine Learning and Deep Learning models using FastAPI and Docker, I wanted to explore a bit more on deploying deep learning models. My last post discussed a server-side method for deploying the model. It already has a large collection of some pretrained models.

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Deep Learning Neural Network Machine Learning ML 52

Heartbeat

FEBRUARY 23, 2023

Image Courtesy of UrielSC A big part of data science is tuning our models and improving upon them over time. In this article, I will go through some basic concepts of creating a neural network using TensorFlow and then explore how we might improve upon our model’s architecture using Keras Tuner. Well, here’s the guide for you.

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

This long-overdue blog post is based on the Commonsense Tutorial taught by Maarten Sap, Antoine Bosselut, Yejin Choi, Dan Roth, and myself at ACL 2020. The release of Google Translate’s neural models in 2016 reported large performance improvements: “60% reduction in translation errors on several popular language pairs”.

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Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. We think the best datasets are available for free on Roboflow. After you create a free account, you’ll have access to the best machine learning datasets. If you’re short on time, we’ll cut right to the chase here.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. Third, a number of sessions will be of interest to ML practitioners who build, deploy, and operationalize both traditional and generative AI models. This year, learn about LLMOps, not just MLOps!

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Unite.AI

MAY 3, 2024

But what if there was a single platform you could use to instantly develop highly engaging content for your emails, ads, social media captions, and blog articles? What stood out to me about Anyword was its predictive performance tool, which predicts the performance of your short-form content. Excellent brand voice tools.

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AWS Machine Learning Blog

MAY 14, 2024

These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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