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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. The post The DataOps Vendor Landscape, 2021 first appeared on DataKitchen.

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Deep Learning vs Machine Learning -What's the Difference?

ProjectPro

“Machine Learning” and “Deep Learning” – are two of the most often confused and conflated terms that are used interchangeably in the AI world. However, there is one undeniable fact that both machine learning and deep learning are undergoing skyrocketing growth. respectively.

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Keras vs Tensorflow - Deep Learning Frameworks Battle Royale

ProjectPro

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

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Solved Music Genre Classification Project using Deep Learning

ProjectPro

Working with audio data has been a relatively less widespread and explored problem in machine learning. In most cases, benchmarks for the latest seminal work in deep learning are measured on text and image data performances. Amidst this, speech and audio, an equally important type of data, often gets overlooked.

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100 Deep Learning Interview Questions and Answers for 2023

ProjectPro

Deep learning job interviews. Most beginners in the industry break out in a cold sweat at the mere thought of a machine learning or a deep learning job interview. How do I prepare for my upcoming deep learning job interview? What kind of deep learning interview questions they are going to ask me?

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MLEnv: Standardizing ML at Pinterest Under One ML Engine to Accelerate Innovation

Pinterest Engineering

In 2021, ML was siloed at Pinterest with 10+ different ML frameworks relying on different deep learning frameworks, framework versions, and boilerplate logic to connect with our ML platform. The nuances of the underlying deep learning framework needs to be considered in order to build a high-performance ML system.

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Deep Learning for Image Classification in Python with CNN

ProjectPro

Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve. Access Solved End-to-End Data Science and Machine Learning Projects We’ll use binary cross-entropy as our loss function because we have only 2 classes.