The history of blogs goes back to the late 1990s. Initially, they did not resemble their current, often very impressive form. Originally, they were only a collection of links to other sites containing material from a specific field.
The history of blogs goes back to the late 1990s. Initially, they did not resemble their current, often very impressive form. Originally, they were only a collection of links to other sites containing material from a specific field. However, the phenomenon of the Internet diary was rapidly growing in popularity. The number of authors competing for the title of experts in various disciplines was also increasing, and they were loyal to their audience. It was the blogosphere that gave rise to the Influencer phenomenon, which is now even seen as a profession and a major source of considerable income.
Today, a multitude of people want to become Internet gurus in their field, so it is easy to find a number of blogs from almost every industry. However, a blog is not equal to a blog, and if we want to find really useful content, we usually need extensive research. This is no different with Machine Learning, which is why we have been tempted to compile a list of valuable sources of knowledge about ML, where, like our whiteboard blog, you will find really valuable information from the area of machine learning technology.
Entrepreneur Adrian Rosebrock’s blog, the author of several revolutionary solutions such as an application identifying prescription-only medicines or algorithms for image processing and machine learning for automatic breast histopathological analysis for cancer risk. As he says on his blog, he shares his knowledge of artificial intelligence with a particular focus on computr vision.
Machine Learning Masters
A blog created for many years by Jason Brownlee, a programmer and passionate about machine learning. Brownlee founded the blog in order to support young programmers, and today his website is the most popular industry source of knowledge for programmers around the world.
It is not only a source of valuable articles, but also a broad set of educational tools for professionals in the field of data analysis, artificial intelligence, machine learning or deep learning. The knowledge compendium contains comprehensive guides from areas of knowledge such as neural networks and detailed instructions for specific technologies such as face recognition.
We teach Machinery
Our native example is that of Konrad Łyda. It is an ideal place for anyone who enters the world of machine learning to understand what Machine Learning is and why he too can try his hand at this seemingly unattainable area where he can become an expert.
Knowledge sharing platforms
Towards Data Science
It is a platform for exchanging ideas and broadening knowledge in the area of data analysis used by thousands of people around the world. The editors of Towards Data Science are true enthusiasts and world experts in the field of data analysis, such as Data Scientist and Project Managers. So if you can ML is your greatest passion or way of life, you can be a Towards Data Science editor.
Another place for demanding users. If you are passionate about the world of the latest technologies, you should read Medium, and if you want to appear in this world, you should create and publish on this portal. It is a platform with a wide range of categories, including ML and AI.
If you are a Geeksforgeeks programmer you will find something for yourself regardless of the language in which you are programming. It is an ideal place to learn, as you will find not only professional articles from the areas you are interested in, but also practical exercises and courses or internships.
A good and convenient way to learn regularly is to use newsletters. We recommend trying out ML and AI related areas: Python weekly, Date Science Weekly czy Data Elixir.