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Top 10 Deep Learning Algorithms in Machine Learning [2025]

ProjectPro

When firing Siri or Alexa with questions, people often wonder how machines achieve super-human accuracy. All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain.

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Boosting Media & Entertainment Production Efficiency with AI and Cloud

RandomTrees

The media and entertainment sector is being transformed on a new scale owing to technological progression. This article will explore why the integration of AI and cloud computing technologies into the media and entertainment sphere makes the production process more efficient at all stages, from development to marketing.

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Foundation Model for Personalized Recommendation

Netflix Tech

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. At Netflix, our mission is to entertain the world.

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Transforming Patient Referrals: Providence Uses Databricks MLflow to Accelerate Automation Across 1,000+ Clinics

databricks

Accelerating GenAI experimentation with MLflow on Databricks To meet that challenge, we turned to the Databricks Data Intelligence Platform, and specifically MLflow , to orchestrate and scale our machine learning model experimentation pipeline. While we use Azure AI Document Intelligence for OCR and OpenAI’s GPT-4.0

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10 Real World Data Science Case Studies Projects with Example

ProjectPro

You can also try your hands-on Inventory Demand Forecasting Data Science Project to develop a machine learning model to forecast inventory demand accurately based on historical sales data. It uses Machine learning algorithms to find transactions with a higher probability of being fraudulent.

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25 TensorFlow Projects Ideas for Beginners to Practice in 2025

ProjectPro

Developed by the Google Brain Team, TensorFlow is an open-source deep learning framework that helps machine learning engineers and data scientists build models and deploy applications easily. Currently, TensorFlow has a market share of 3.56%, with more than 1910 companies already using it. Million by 2025.

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DeepBrain AI: A Complete Explanation

Edureka

DeepBrain AI is driven by powerful machine learning algorithms and natural language processing. Cleansing and cleaning this data makes sure that it can be used to train machine learning models. Training the Model: The models that DeepBrain AI builds are trained with deep learning techniques.