I will do make lead data engineer

Achary A

Israel

I speak English
Professional Graphics designers having +5 years experience in the graphics design industry and specialty in logo designs. Creative, Focused, Imperturbable. I'm here to add a creative flavor to your pr...
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About this Gig
  1. Supervised Learning: In supervised learning, the algorithm is trained on a labeled dataset, meaning that the input data is accompanied by the correct output. The algorithm learns to map the input to the output, and once trained, it can make predictions on new, unseen data.
  2. Unsupervised Learning: Unsupervised learning involves training the algorithm on an unlabeled dataset, where the algorithm must find patterns and structure in the data without explicit guidance. Common tasks in unsupervised learning include clustering, where similar data points are grouped together, and dimensionality reduction, where the number of features in the dataset is reduced while preserving important information.
  3. Semi-supervised Learning: Semi-supervised learning combines elements of both supervised and unsupervised learning. It involves training on a dataset that contains both labeled and unlabeled data, leveraging the unlabeled data to improve the learning process.
  4. Reinforcement Learning: Reinforcement learning is a type of learning where an agent learns to make decisions by interacting with an environment.
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do make lead data engineer
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do make lead data engineer

Expertise:

Big data

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Data flow

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Data upload

•

QA

•

SQL

Technology:

BigQuery

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Excel

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Google Sheets

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Java

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SQL

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NoSQL

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