I will do make data engineering manager

Orbin A

Israel

I speak English
Professional Graphics designers having +5 years experience in the graphics design industry and specialty in logo designs. We Provide brand identity and top notch logo for your business. Every client i...
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About this Gig
  1. Supervised Learning: In supervised learning, the algorithm is trained on a labeled dataset, where each input data point is associated with a corresponding target label. The goal is to learn a mapping from inputs to outputs so that the algorithm can predict the correct label for new, unseen data.
  2. Unsupervised Learning: Unsupervised learning involves training algorithms on unlabeled data, where the goal is to discover patterns, structures, or relationships within the data. Clustering and dimensionality reduction are common tasks in unsupervised learning.
  3. Semi-supervised Learning: Semi-supervised learning combines elements of supervised and unsupervised learning. It uses a small amount of labeled data along with a large amount of unlabeled data to improve learning accuracy.
  4. Reinforcement Learning: In reinforcement learning, an agent learns to interact with an environment to achieve a goal by taking actions and receiving feedback in the form of rewards or penalties. The agent learns to optimize its actions to maximize cumulative reward over time.
  5. Deep Learning: Deep learning is a subset of machine learning that uses neural networks with multiple layers
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do make data engineering manager
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do make data engineering manager

Expertise:

Big data

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Data flow

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Data upload

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SQL

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NoSQL

Technology:

BigQuery

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Excel

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Google Sheets

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Java

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Julia

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NoSQL

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