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[D] What's the simplest, most lightweight but complete and 100% open source MLOps toolkit?
I know this has been asked many times and in many different ways. And there are tons of blog posts, articles, videos and courses addressing this and comparing hundreds of tools, libraries, frameworks… And that's part of my problem: I am facing so many options that I feel like Buridan's ass, dying of starvation for not knowing what to do. Although I don't want to write too much, I need to speak a little about our situation, in order to put the question in our context. We have only four people, which could be qualified as beginner data scientists. One of us has a profile that is a little bit more "engineer", so data engineer could be more suitable for him.
Introduction to Machine Learning [Live-Online]
Machine Learning helps to make intelligent autonomous decisions by improving the underlying computer algorithms automatically. You experience this first hand each time Netflix or Amazon recommends a movie or book title to you. The basic process of finding patterns and then applying those patterns allows Machine Learning to make huge advancements across multiple industries, such as healthcare, automobile, finance, and entertainment. It also enables virtual assistants like iPhone's Siri to understand and execute your commands. Come join Andrew Means to learn more about Machine Learning.
Digital technologies and infrastructure driving positive digital investment momentum
The Covid-19 pandemic has accelerated the growth of digital economy and opened up avenues to various new digital businesses. As businesses pivot online, the need to lay a solid foundation to aid this new wave of digitalisation is vital to ensure that Malaysia can holistically transform itself towards an advanced digital economy. In 2020, a total of 45 MSC status projects were approved with investments worth RM3.9bil. This will pave the way for 3,794 new employment opportunities for Malaysians. Out of the total, RM2.6bil (66.2%) came from domestic investments, while RM1.3bil (33.8%) came from foreign investments.