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Machine Learning Scientist

Machine Learning Scientists are concerned with building, training, and evaluating models. They will perform fundamental research by defining, designing, implementing, and evaluating algorithms involving unrivaled data and objectives. They also actively engage with the tutorial community by collaborating with universities, publishing and presenting your work, and attending conferences. A Machine Learning Scientist requires in-depth knowledge of supervised and unsupervised machine learning algorithms, including classification, clustering, and regression. They also have experience building production systems with statistical analysis, data modeling, regression modeling and forecasting, statistic analysis, and deep learning neural networks.

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Begin your learning experience and become a machine learning scientist with certificate courses curated to land your dream job.

Skills Covered in this Path

  • ANN
  • Tensorflow
  • Keras
  • Gradient
  • Backpropagation
  • Tokenization
  • Stemming
  • Lemmatization
  • Removing Stopwords
  • Modeling Techniques in NLP
  • Machine Learning and Logistic Regression
  • Sentiment Analysis
  • Functionalities of Textblob
  • Textblob Sentiment Analysis
  • U-Net
  • Semantic Segmentation

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Industry relevant skills

Upskill yourself with 1000+ courses across different domains and earn a certificate.

Stand out to recruiters

Earn certificates for each course you complete and share it online to get noticed by recruiters.

Industry relevant skills
Upskill yourself with 1000+ courses across different domains and earn a certificate.
Stand out to recruiters
Earn certificates for each course you complete and share it online to get noticed by recruiters.

Earn a certificate

Get hired by

Get hired by

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10 Million+ learners

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    Hand-picked curated courses in each path will help you fasttrack your journey and gain a new skill in just a few months.

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