Previously, Microsoft open sourced a series of technical tutorials for beginners on GitHub.
Now, two years have passed, and these tutorials have been updated a lot, and developer tutorials in popular technical fields such as artificial intelligence and Python have been added.
Below I will reorganize and update, and re-introduce these tutorials one by one to you.
The tutorials cover artificial intelligence, web development, machine learning, Python, Internet of Things, data science, and many more.
If you are patient and read through these tutorials one by one, your technical strength will definitely improve by leaps and bounds.
- I went through these major tutorials and found that they all have the following unified characteristics:
- The total class period is 12 weeks, with a total of 24 lessons, so that you can arrange your study plan reasonably;
- Each course is accompanied by an explanation of the actual development of the project, emphasizing more practice to gain true knowledge;
- Each lesson is accompanied by test instructions, sketch notes, homework tasks, etc., to help you master the course content more systematically and comprehensively.
Next, let me introduce to you what is included in it.
Machine Learning for Beginners
It mainly explains the basic knowledge of machine learning introduction and history, natural language processing, common NLP tasks, semantic and sentiment analysis, etc.
In addition, you will learn about the practical use of machine learning by developing projects such as pumpkin price prediction, food classification, and hotel sentiment analysis.
In terms of course illustrations, Microsoft also got a lot of extra points.
Take the following picture as an example. Microsoft lecturers show us the development history of machine learning in a more intuitive and interesting way through illustrations:
From the picture above, we can see that machine learning originated in the 1950s. Alan Turing’s idea of letting machines learn to think, became the machine learning we are talking about today in the process of continuous iterative evolution.
For similar illustrations and detailed content introduction, you can go to the GitHub repository of this course to have a look.
Web Development Tutorials for Beginners
The author will also take you through the overall process of web development by developing multiple projects such as typing games, browser extensions, and space games.
In fact, it is not difficult to get started with web development. What is difficult is how to choose the most suitable course for you in the face of all kinds of courses on the market.
In addition, in order to make the course more friendly to novices, there will be supplementary instructions on programming languages, code editors, browsers, command-line tools, etc., just like this picture:
Seeing the content on the picture, are you already unable to restrain your urge to learn? It's okay, Star the GitHub repository of this project and start learning!
Internet of Things for Beginners
Lectures on general knowledge of the Internet of Things, sensor data collection, actuator response processing, hardware networking methods, location tracking, voice recognition and other basic knowledge.
Through the development of multiple projects such as plant monitoring, watering systems, vehicle tracking, and voice-activated cooking timers, you will learn about the practical use of the Internet of Things.
Many projects in the course will open up the complete processing process of food from farm to table, involving agriculture, logistics, manufacturing, retail, consumers and other industries, covering the application of IoT devices in current mainstream industries.
In the era of the Internet of Everything, the concept of the Internet of Things has also begun to spread to thousands of households. The ancient people imagined that the remote control of objects and dialogue with objects, with the promotion of voice-activated hardware, has gradually made this concept possible. Realize, become the norm.
As technicians, in order to make ourselves more irreplaceable in the workplace, we have to be one step ahead of others, see the future, and make plans and plans in advance.
In my opinion, the Internet of Things industry, combined with the existing large language models, will produce many interesting applications and products in smart home and other industries in the future.
Data Science for Beginners
The main lectures are general knowledge of data science, introduction to statistics and probability, use of SQL and NoSQL, visualization of data distribution, introduction to data science life cycle and other basic knowledge.
Through this tutorial, you can fully understand the basic concepts behind data science and its relationship with artificial intelligence, machine learning and big data, and further understand and learn the technologies of relational database SQL and non-relational database NoSQL Concept and practical application scenarios.
In terms of data analysis, processing, and exploration, the combination of Matplotlib, Pandas, and various low-code tools can undoubtedly improve development efficiency a lot, and the use of these tools is also mentioned in this tutorial.
In today's era of data explosion, analyzing and extracting its due value from a pile of complicated and redundant data is also a test of programming skills.
In this tutorial provided by Microsoft, the learning path and architecture design are quite clear, and many practical use cases are interspersed between them, so that novices can avoid many detours in the exploration of the field of data science.
Artificial intelligence tutorials for beginners
Lectures on a brief history of artificial intelligence, introduction to neural networks, computer vision, convolutional neural networks, natural language processing, genetic algorithms, deep reinforcement learning and other knowledge.
AIGC exploded this year, and many developers began to learn artificial intelligence-related technologies. If you are also interested in AI, it may be a good choice to start through Microsoft's artificial intelligence tutorial for beginners.
Through this tutorial, you can learn different application scenarios of AI technology, the use of mainstream development frameworks of neural networks and deep learning, and take you to understand the neural architecture content of image and text processing through real cases.
In addition, the tutorial also includes some cutting-edge knowledge in the field of AI, such as genetic algorithms, multi-agent systems, and so on.
In order to allow everyone to better absorb knowledge, Microsoft also provides some document preview materials in this tutorial, as well as a Jupyter Notebook with executable code, which contains a lot of theoretical materials to help you better understand the knowledge points.
The best way to learn a new technology is to practice, so Microsoft provides a collection of homework called "Laboratory" in the project. You can practice these exercises and practice to better absorb and master AI technology.
The above few tutorials are the five open-source courses of machine learning, web development, Internet of Things, data science, and artificial intelligence that Microsoft has open sourced on GitHub.
Although the AIGC field is booming now, it still needs to rely on various creative applications to support it.
If you can master the knowledge of the above-mentioned technologies, then creating an AI application with sustainable growth and profitability is no longer out of reach.