Is there a recommended book for learning machine learning with python?

Python
Thread starter Felipe Lincoln
Start date Aug 26, 2018
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Book Machine Machine learning

In summary, machine learning is a subset of artificial intelligence that involves creating algorithms and statistical models to enable computers to learn and make predictions or decisions without explicit programming. It has various real-world applications, such as fraud detection and image recognition, and there are three main types: supervised, unsupervised, and reinforcement learning. Programming skills, along with a solid understanding of mathematics and statistics, are essential for learning machine learning. To get started, you can enroll in online courses, attend workshops and conferences, read books and articles, and practice using open-source datasets and tools. Joining online communities and forums is also helpful for connecting with other machine learning enthusiasts and experts.

Aug 26, 2018

Felipe Lincoln

Gold Member

What's the best book to learn machine learning using python?

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Aug 27, 2018

YoungPhysicist

Insights Author

Well, I have no idea for a book , but I do have an idea of a youtube channel:

https://www.youtube.com/channel/UC0e3QhIYukixgh5VVpKHH9Q

Check it out. Maybe he mentioned a book in one of his videos.

1. What is machine learning?

Machine learning is a subset of artificial intelligence that involves creating algorithms and statistical models that enable computers to learn and make predictions or decisions without being explicitly programmed.

2. How is machine learning used in the real world?

Machine learning has a wide range of applications in various industries, such as finance, healthcare, marketing, and transportation. It is used for tasks such as fraud detection, image and speech recognition, recommendation systems, and autonomous vehicles.

3. What are the different types of machine learning?

There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on a labeled dataset to make predictions on new data. Unsupervised learning involves finding patterns and relationships in unlabeled data. Reinforcement learning involves training a model to make decisions based on a reward system.

4. Do I need to know programming to learn machine learning?

Yes, programming skills are essential for learning machine learning. Most commonly used programming languages for machine learning include Python, R, and Java. You will also need to have a solid understanding of mathematics and statistics.

5. How can I get started with learning machine learning?

To get started with machine learning, you can enroll in online courses, attend workshops and conferences, read books and articles, and practice using open-source datasets and tools. It is also helpful to join online communities and forums to connect with other machine learning enthusiasts and experts.