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40 Algorithms Every Programmer Should Know

You're reading from   40 Algorithms Every Programmer Should Know Hone your problem-solving skills by learning different algorithms and their implementation in Python

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781789801217
Length 382 pages
Edition 1st Edition
Languages
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Author (1):
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Imran Ahmad Imran Ahmad
Author Profile Icon Imran Ahmad
Imran Ahmad
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Fundamentals and Core Algorithms
2. Overview of Algorithms FREE CHAPTER 3. Data Structures Used in Algorithms 4. Sorting and Searching Algorithms 5. Designing Algorithms 6. Graph Algorithms 7. Section 2: Machine Learning Algorithms
8. Unsupervised Machine Learning Algorithms 9. Traditional Supervised Learning Algorithms 10. Neural Network Algorithms 11. Algorithms for Natural Language Processing 12. Recommendation Engines 13. Section 3: Advanced Topics
14. Data Algorithms 15. Cryptography 16. Large-Scale Algorithms 17. Practical Considerations 18. Other Books You May Enjoy

Transfer Learning

Over the years, many organizations, research groups, and individuals within the open source community have perfected some complex models trained using gigantic amounts of data for generic use cases. In some cases, they have invested years of effort in optimizing these models. Some of these open source models can be used for the following applications:

  • Object detection in video

  • Object detection in images

  • Transcription for audio

  • Sentiment analysis for text

Whenever we start working on training a new machine learning model, the question to ask ourselves is this: instead of starting from scratch, can we simply customize a well-established pre-trained model for our purposes? In other words, can we transfer the learning of existing models to our custom model so that we can answer our business question? If we can do that, it will provide...

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