Название: Zero to Hero in Machine Learning: Part 1 Автор: Ravindu Ramesh Perera
Издательство: Amazon.com Services LLC
Год: 2020
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.6 MB
Machine Learning (ML) is just not a topic for computer science geeks. There’s no area that ML can’t be applied. These days ML is used in banking, astronomy, medicare, transportation, agriculture, fashion designing, IoT and robotics sector etc. So there’s not a limit for ML applications and this is still one of the main research areas. So there will be so many improvements in the near future.
You don't need any previous ML knowledge to refer this book because this book targets every beginner in ML and Data Science domain such as enthusiastic kids, school ICT students, university students, business analysts, business developers and marketing officers.
Machine Learning is the ability of a computer program or a machine to learn through provided data and think by itself without being explicitly programmed. It is an application of AI (Artificial Intelligence).
In this book, we talk only about machine learning algorithms that come under supervised and unsupervised learning types. Here we mainly talk about 4 types of machine learning algorithms. They are:
- Classification Algorithms
- Anomaly Detection Algorithms
- Regression Algorithms
- Clustering Algorithms
In "Zero to Hero in Machine Learning" book, we learn:
•What ML is
•ML types
•ML algorithms
•How to use Jupyter Notebook for coding and Azure Notebooks
•How to work with images and a little bit in computer vision
•The step by step procedure to train a machine
•Data science techniques
•How some regression and classification algorithms really works
•To train a machine by coding in Azure Notebooks.
•How to improve your Machine Learning and data science skills
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