Please recommend some machine learning resources to get started

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Please recommend some machine learning resources to get started [Copy link]

 

Please recommend some machine learning resources to get started

王元元

Here are some great machine learning resources to get started:

1. Coursera : There are many excellent machine learning courses on Coursera, such as Andrew Ng's "Machine Learning" course, as well as courses offered by other universities and institutions.

2. Kaggle : Kaggle is a data science competition platform that provides many data sets and machine learning competitions. You can learn and practice machine learning algorithms by participating in competitions.

3. Andrew Ng's Machine Learning Special

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Here are some excellent resources when it comes to getting started with machine learning:

1. Machine Learning on Coursera (by Andrew Ng) :

   • This is a classic machine learning course taught by Professor Andrew Ng of Stanford University. It covers topics such as supervised learning, unsupervised learning, neural networks, and provides a large number of programming assignments and case studies. It is an excellent starting point for learning machine learning.

2. Kaggle Competitions :

   • Kaggle offers a wealth of data science and machine learning competitions. By participating in these competitions, you can learn practical machine learning skills and experience. At the same time, you can also communicate and learn with data scientists and machine learning experts from all over the world.

3. "Python Machine Learning Basics" (by Sebastian Raschka and Vahid Mirjalili) :

   • This book uses Python as the programming language to introduce the basics of machine learning, common algorithms, and practical techniques. The book contains a large number of example codes and case studies, which is suitable for beginners.

4. Open source projects on GitHub :

   • There are many open source machine learning projects on GitHub that you can browse and participate in. By viewing other people's code and contributing your own code, you can deepen your understanding of machine learning algorithms and tools and learn practical skills and experience.

5. Udacity's Machine Learning Fundamentals Nanodegree :

   • This is an entry-level machine learning course offered by Udacity, covering the basics of machine learning, common algorithms, and practical techniques. The course is project-oriented and helps learners master the basic principles and application methods of machine learning through practical projects.

The above resources are all good choices for getting started with machine learning. They cover a variety of learning methods from online courses to books to practical projects, suitable for learners of different levels and interests.

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Here are a few resources for electronics engineers to get started with machine learning:

1. Coursera's Machine Learning : This is a very popular online course taught by Professor Andrew Ng of Stanford University. The course covers the basic concepts of machine learning, including supervised learning, unsupervised learning, neural networks, support vector machines, and more.

2. Kaggle : Kaggle is a data science competition website that provides tutorials and hands-on projects on various machine learning and data science. Their introductory tutorials are suitable for those who want to learn machine learning through hands-on projects.

3. Google’s Machine Learning Crash Course : This is a free online course developed by Google that introduces beginners to the basics and practical techniques of machine learning. The course covers everything from data preprocessing to model evaluation, making it perfect for those who want to get started quickly.

4. fast.ai courses : fast.ai offers a series of free deep learning courses designed to get learners started with deep learning with minimal math knowledge. Their courses combine hands-on projects and theoretical knowledge, making them ideal for those who want to get started quickly.

5. Tutorial videos on YouTube : There are many tutorial videos on machine learning on YouTube, such as Sentdex's Python machine learning series, 3Blue1Brown's neural network series, etc. These videos allow you to learn by yourself and master the basics in the comfort of your own home.

The above are a few resources suitable for electronic engineers to get started with machine learning. I hope it will be helpful to you!