“A year spent in artificial intelligence is enough to make one believe in God.” —Alan Perlis
Artificial Intelligence was the future when this dialogue was delivered. Now it is our present, our truth. At the heart of Artificial Intelligence, lies Machine Learning, the most sought-after field in the AI world.
Machine Learning is using data to predict decisions. This is to be done without explicitly programming the machines.
Machine Learning has proved to be a boon for humankind. From business to research, from education to medical science, Machine Learning has found applications in every aspect of our lives. Common applications include speech recognition, image recognition, google map, spam filter, fraud prevention, medical diagnosis, etc.
For our Machine Learning experts and enthusiasts, it is necessary to stay updated and be acquainted with the latest developments/trends in this field. It is of the utmost importance that one religiously follows this practice to become or grow as a Machine Learning expert.
If you are one of them and not sure what to do to stay updated, worry not my friend, we are here for you. A blog can be a fun way to stay in the loop. Though it may have an informal tone, most of the blogs present a comprehensive breakdown of the new trends. You can check out the blog that suggests 6 Smart Ways to To Use Machine Learning For Business’ Benefit, to help you gain an idea about ML’s demand in town.
Now moving forward, I feel these are the top ten Machine Learning blogs that you must read:
This blog is aimed at beginners in Machine Learning. It features articles that explain the importance and application of ML in our daily lives. The articles are extremely useful for people from a non-technical background as well.
A blog by Jason Brownlee, a Ph.D. Jason is a machine learning specialist who started this blog in the hopes of guiding enthusiasts through quick tutorials, the latest guides, and e-books. He aims to make his followers learn by practical application rather than memorizing the concepts.
If you are an absolute beginner, this blog is highly recommended.
Distill is a blog dedicated to Machine Learning Research. It breathes a new life into the tedious and mundane research work.
The articles are written in a style that makes the research works extremely comprehensive and appealing at the same time.
Amazon is built on Machine Learning. It eats, breathes, lives Machine Learning. From recommendations based on user behavior to Amazon Alexa, Amazon has aced almost every application.
Needless to say, its Machine Learning Blog is the best that is out there.
Google’s ML Blog is a masterpiece for our tech-savvy people out there. The biggest real-life application of ML- speech recognition and speech to text conversion is to be marveled at.
Follow this blog to ride the tech wave.
OpenAI is not your traditional Machine Learning blog. It has become one of the most reputed research labs in a small period and is dedicated to building the first AGI(Artificial General Intelligence). With Elon Musk as one of its founders, OpenAI’s core ideals are built for the future.
MIT News’ Machine Learning blog mostly reports about the recent developments at the globally acclaimed University. It also features articles about the latest ML trends around the world.
This site is eye-candy for people who look up to MIT and its magnificence.
Though this blog is not being updated regularly, it still is relevant and highly informative.
It can help you strengthen your foundations in AI and ML and give you an insight into Microsoft’s initial development.
This is a perfect blend of theoretical knowledge and practical application. Springboard offers articles to cater to the taste buds of experts and for beginners, it offers courses or career tracks.
Analytics Vidhya’s field of focus is building a community of Data Scientists and Data Science enthusiasts.
It serves both the community and companies through its courses, blogs, Q and A sessions and hackathons.
This is a really good platform for our budding data science and machine learning fanatics.
