Please recommend some introductory machine learning courses

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Please recommend some introductory machine learning courses [Copy link]

 

Please recommend some introductory machine learning courses

shenying

Here are some good courses to get started with machine learning:

1. "Machine Learning" (Andrew Ng) on Coursera : A free online course taught by Stanford University professor Andrew Ng, which covers the basic concepts, algorithms and practical applications of machine learning and is suitable for beginners.

2. "Introduction to Machine Learning" (Columbia University) on edX : This course is offered by Columbia University and aims to introduce the basic concepts and techniques of machine learning, covering supervised learning, unsupervised learning, reinforcement learning, etc.

3. Udacity's "Machine Learning Engineer Nanodegree" : This nanodegree program provides a systematic machine learning education, including learning theoretical knowledge, practical projects, and guidance from industry mentors. It is suitable for learners who want to pursue a career as a machine learning engineer.

4. Coursera's "Machine Learning Engineer Nanodegree" (Georgia Tech) : This nanodegree program is offered by Georgia Institute of Technology and covers deep learning, data engineering, model evaluation and other aspects. It is suitable for learners with a certain foundation in programming and mathematics.

5. DataCamp's "Introduction to Machine Learning" : DataCamp offers many online courses on data science and machine learning, including introductory-level courses and professional-level courses, suitable for learners of different levels.

The above courses cover the basic theories, common algorithms and practical skills of machine learning, and are suitable for learners of different levels and backgrounds.

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Here are a few courses that are suitable for getting started with machine learning:

1. Machine Learning on Coursera (Andrew Ng) :

   • Taught by Professor Andrew Ng of Stanford University, this is one of the classic introductory courses in the field of machine learning. It covers basic concepts and algorithms such as supervised learning, unsupervised learning, and neural networks. The explanations are clear and suitable for beginners.

2. 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.

3. Microsoft Professional Certificate: Introduction to Data Science from edX :

   • This professional certificate course is offered by Microsoft and covers the basic knowledge and skills of data science and machine learning. The course content includes data analysis, data visualization, machine learning, etc., which is suitable for beginners.

4. DeepLearning.AI's "Fundamentals of Deep Learning" :

   • This is a basic deep learning course provided by DeepLearning.AI, covering neural networks, convolutional neural networks, recurrent neural networks, etc. The course is taught by well-known experts such as Andrew Ng and is suitable for people who want to learn deep learning in depth.

5. Introduction to Data Science on Coursera :

   • This course is offered by Johns Hopkins University and covers the basic concepts and skills of data science, including data cleaning, data analysis, machine learning, etc. It is suitable for beginners and does not require prior knowledge of complex mathematics.

The above courses are all entry-level machine learning courses, covering all aspects from basic knowledge to practical applications.

zhaodawei617

Of course, here are some great courses 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’s Getting Started Tutorial : Kaggle is a data science competition website that provides a variety of tutorials and hands-on projects for machine learning and data science. Their Getting Started Tutorial is 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 several courses suitable for electronic engineers to get started with machine learning. I hope they will be helpful to you!

fjdeepblue

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