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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. There are a lot of deep learning frameworks available.

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User Action Sequence Modeling for Pinterest Ads Engagement Modeling

Pinterest Engineering

To make the ads Click-through rate (CTR) predictions more personalized, our team has adopted users’ real time behavior histories and applied deep learning algorithms to recommend appropriate ads to users. Model Stability: Resilient Batch Norm Improving the stability and training speed of deep learning models is a crucial task.

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Important AI and Management Tools of 2022

U-Next

The algorithm includes a number of calculations necessary for AI and data mining assignments, such as bunching, relapse, and order. If you are just starting out in Machine Learning, Scikit-learn is a more-than-adequate tool until you start implementing increasingly complex calculations. . Tensorflow . if necessary. .

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Recap of Hadoop News for June 2018

ProjectPro

RightShip is using IBM’s predictive big data analytics platform to calculate the likelihood of compliance or mechanical troubles that an individual merchant ship will experience within the next year.It also leverages big data to analyse carbon emissions and vessel efficiency. Some key features that are included in HDP 3.0

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

So, the goal is to use phase-contrast microscopy images and detect the neuronal cells with a high level of accuracy through deep learning algorithms. This challenge is about implementing deep learning object detection models over the thousands of images collected by the underwater camera.

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Java vs Python for Data Science in 2023-What's your choice?

ProjectPro

Python is used heavily in the backend to process the data. Instagram switched to Python as its primary programming language in 2017 and is using it ever since. SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis. Deeplearning4J is a composable framework.

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Data Analyst Interview Questions to prepare for in 2023

ProjectPro

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. Data analysis involves data cleaning.