I want to learn machine learning from scratch, what should I do?

三只猫

I want to learn machine learning from scratch, what should I do? [Copy link]

 

I want to learn machine learning from scratch, what should I do?

小安子

For complete beginners, here are some simple steps:

1. Understand the basic concepts :

   • To get started, you can learn some basic machine learning concepts such as supervised learning, unsupervised learning, and reinforcement learning. You can learn through resources such as online tutorials, video tutorials, or books.

2. Learn the basics of programming :

   • If you don’t have a programming foundation, you can first learn some basic programming knowledge, such as Python. Python is widely used in the field of machine learning, and its syntax is concise and easy to understand.

3. Take the introductory course :

   • Take some introductory courses specifically for zero-based learners, such as introductory machine learning courses on platforms such as Coursera, Udacity, or edX. These courses are usually taught by professionals, with systematic and comprehensive content, suitable for zero-based learners to get started.

4. Read the Getting Started Guide :

   • Read some beginner guides or tutorials. These materials usually introduce basic machine learning concepts, programming skills, and practical projects to help you get started quickly.

5. Practical projects :

   • Choose some simple machine learning projects to practice, such as iris classification, Boston house price prediction, etc. These projects have ready-made data sets and sample codes, which are suitable for zero-based learners to get started.

6. Continuous learning and practice :

   • Machine learning is a process of continuous learning and practice, which requires continuous learning and practice to master. Keep your enthusiasm for learning, keep trying new projects and challenges, and constantly improve your skills through practice.

By following the above steps, you can get started with machine learning from scratch and gradually master the basic knowledge and skills. I wish you a smooth learning!

ningzhi

Although you may not have a background in machine learning, you can get started with machine learning by following these steps:

1. Understand the basic concepts of machine learning: Before you start learning machine learning, it is important to understand some basic concepts. You can understand the basic concepts of machine learning, such as supervised learning, unsupervised learning, regression, classification, clustering, etc. by reading some introductory machine learning guides or online tutorials.

2. Learn Python programming language: Python is one of the most commonly used programming languages in the field of machine learning, so learning Python will be very helpful for you to get started with machine learning. You can learn Python programming through online tutorials, books, or free resources.

3. Choose the right learning resources: Online platforms such as Coursera, edX, and Udacity offer a wealth of machine learning courses, some of which are designed specifically for zero-based learners. Choose an introductory course that suits you and start learning.

4. Master common machine learning algorithms: Understand common machine learning algorithms, such as linear regression, logistic regression, decision tree, support vector machine, etc. Understand the principles and application scenarios of these algorithms, and how to use corresponding libraries in Python to implement these algorithms.

5. Practical projects: Use practical projects to consolidate what you have learned. Choose some simple projects to start with, such as classification or regression tasks using public datasets. Use practical projects to gain a deep understanding of the application and implementation details of machine learning algorithms.

6. Use ready-made tools and libraries: Leverage ready-made machine learning tools and libraries to accelerate the learning and development process. For example, use popular Python libraries such as Scikit-learn, TensorFlow, PyTorch, etc. to quickly build and train machine learning models.

7. Continuous learning and practice: Machine learning is a field that is constantly evolving and progressing, so it is crucial to keep learning and practicing. Keep trying new algorithms and techniques, and keep an eye on the latest research progress and technology trends to stay competitive.

By following the above steps, you can get started with machine learning from scratch and gradually master the relevant knowledge and skills. I wish you success in your learning process!

大朋展翅

If you are an EE and want to learn machine learning from scratch, here are some tips:

1. Understand the basic concepts of machine learning: Before you start, understand some basic concepts such as supervised learning, unsupervised learning, and reinforcement learning. You can learn these concepts by reading some introductory books or online tutorials.

2. Learn the basics of programming: If you are not already familiar with programming, then learning a programming language is essential. Python is a good choice because it is widely used in the field of machine learning and has a relatively gentle learning curve.

3. Master machine learning tools and libraries: Learn how to use some popular machine learning tools and libraries, such as Scikit-learn and TensorFlow. These tools and libraries provide a wealth of machine learning algorithms and tools to help you get started quickly.

4. Take an online course or training class: There are many high-quality online courses and training classes that can help you learn machine learning in a systematic way. There are many free or paid courses available on platforms such as Coursera, Udacity, and edX.

5. Practice projects: Practice is the key to learning. Try to complete some simple machine learning projects, starting with exploratory data analysis and gradually moving towards building and evaluating models. You can start with some public datasets, such as the Iris dataset or the Boston housing price dataset.

6. Continuous learning and improvement: Machine learning is an evolving field, so keep an attitude of continuous learning. Regularly read relevant research papers, participate in online forums and communities, and keep trying new algorithms and techniques.

7. Perseverance: Learning machine learning can be difficult and challenging, but perseverance is the key to making progress. Believe in your abilities and maintain a positive attitude, and you will be able to successfully learn machine learning.

By following the above steps, you can learn machine learning from scratch and gradually master the relevant knowledge and skills. I wish you good luck in your study!