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How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning Blog

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Model Development Data Scientists develop sophisticated machine-learning models to derive valuable insights and predictions from the data. These models may include regression, classification, clustering, and more. Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Image Recognition with Deep Learning: Use Python with TensorFlow or PyTorch to build an image recognition model (e.g., When working on these projects, students should focus on understanding the principles of big data analytics, data preprocessing, machine learning, and data visualization using Python libraries. ImageNet).