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  • Classroom Training
    PRIVATE BATCH
  • Virtual Instructor-led Training
    PUBLIC PROGRAM
  • On Demand Training
    ON DEMAND
  • Hybrid Training
    BLENDED

Course Details

• What is machine learning, and what kinds of problems can it solve?
• What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped?
• Why are neural networks so popular now?
• How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets?
• Learn how to write distributed machine learning models that scale in Tensorflow 2.x, scale out the training of those models. and offer high-performance predictions.
• Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem.
• Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems.
• You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud.

Audience

  • Data Scientist
  • Data Analyst

Public Program Schedule

There is no upcoming Public Batch Schedule, you can ask for Private Batch or for On-Demand Learning
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The highest standard, The happiest learners

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Sarada
Accenture Security-India | Training Operations

We appreciate the session conducted by Rohit Srivastava on Metaverse and Web3 Security as part of the ATCI Security Week 2022.   We received excellent feedback from the audience and look forward to many such collaborative opportunities in the future.

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Rich Rushton
COO Layer 8 Training

Brijesh has done an excellent job. Things are a little bit slow in May – but RPS is high on our list to fill voids in our schedule. Thank you for being easy to work with!

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