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Profesor de aprendizaje automático

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April 13, 2024 Updated June 12, 2024 4 minute read

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El aprendizaje automático (ML) es un subcampo de la inteligencia artificial (IA) que se ocupa del desarrollo de algoritmos que permiten que las computadoras aprendan sin que se les programe explícitamente. Los profesores de aprendizaje automático son responsables de enseñar los principios y aplicaciones del aprendizaje automático a estudiantes de nivel universitario. Por lo general, tienen un doctorado en informática, ingeniería o un campo relacionado, así como experiencia en investigación y enseñanza de aprendizaje automático.

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Salaries for Profesor de aprendizaje automático

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$185,000

$246,000

$313,000

$246,000

San Francisco

$168,000

$224,000

$280,000

$224,000

Seattle

$165,000

$195,000

$234,000

$195,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$185,000

$246,000

$313,000

$246,000

San Francisco

$168,000

$224,000

$280,000

$224,000

Seattle

$165,000

$195,000

$234,000

$195,000

Austin

$265,000

$352,000

$485,000

$352,000

Toronto

$146,000

$169,000

$195,000

$169,000

London

£69,000

£95,000

£134,000

£95,000

Paris

€55,000

€70,000

€85,000

€70,000

Berlin

€78,000

€96,000

€125,000

€96,000

Tel Aviv

₪598,000

₪725,000

₪886,000

₪725,000

Singapore

S$128,000

S$164,000

S$220,000

S$164,000

Beijing

¥240,000

¥380,000

¥530,000

¥380,000

Shanghai

¥1,000,000

¥1,500,000

¥2,500,000

¥1,500,000

Shenzhen

¥405,000

¥506,000

¥608,000

¥506,000

Bengalaru

₹493,000

₹687,000

₹1,112,000

₹687,000

Delhi

₹850,000

₹1,200,000

₹1,600,000

₹1,200,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Profesor de aprendizaje automático

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We've curated three courses to help you on your path to Profesor de aprendizaje automático. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Aprendizaje automático (machine learning) y ciencia de datos

Aprendizaje automático (machine learning) y ciencia de...

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Modelos predictivos con Machine Learning

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Introduction to Deep Learning & Neural Networks with Keras

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