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A practical guide for aspiring Data Scientists

Data Scientist: Roles and Responsibilities

  1. Data Analysis and Visualisation
  2. Building AI/ML Models
  3. Cross-functional Communication Skills
  4. Basic to Intermediate Software Development Skills


With the Roberta Sentence Tokenizer

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View in a valley
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The Requirement


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Learning from a practical NLP project

Auto-ticket assignment: Problem


An intuitive guide to calculating input shape and complexity of neural networks


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Beauty of Simplicity (Image by Author)

An introduction to Pattern Exploiting Training

The overwhelming world of mammoth language models

So is there a way around it?


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An Introduction to Cisco’s Mindmeld Conversational AI Platform


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Product Management for Aspiring Product Managers

First Principles


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Web Services 101

What is a web service

Why web services


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Most Human Interpretable Model Explanation Method


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Introduction to JMeter and basics of Unit Testing

What is Load Testing

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