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On TikTok, Reddit, and elsewhere, posts are popping up from users claiming they're making 20 per hour--or more--completing small tasks in their spare time on sites such as DataAnnotation.tech, As companies have rushed to build AI models, the demand for "data annotation" and "data labeling" work has increased. Workers complete tasks such as writing and coding, which tech companies then use to develop artificial intelligence systems, which are trained using large numbers of example data points. Some models require all of their input data to be labeled by humans, a technique referred to as "supervised learning." And while "unsupervised learning," in which AI models are fed unlabeled data, is becoming increasingly popular, AI systems trained using unsupervised learning still often require a final step involving data labeled by humans.

According to the amateur online-business advisers of YouTube, the age of easily accessible AI is the age of asking and receiving. ChatGPT and other AI tools are ascendant in popular culture, as is the idea that you can ask them for anything. You can even ask them to make you rich. Joshua Mayo, a YouTube personality who makes videos about work-from-home "side hustles" and methods for becoming a millionaire before age 30, told me recently that his audience of mostly young people doesn't want to work a standard 9-to-5 job for several decades and then retire off of their 401(k). "A lot of them don't find that appealing," he said.

Are you a data scientist? You might be missing out on some opportunities to make money from it. Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. If you're feeling strapped for cash and feel like you can earn more money with your knowledge and skills, then starting a side hustle in 2022 is an excellent idea. Everyone has the chance to do more in life and go further, and starting your own side hustle is a great way to do this.

Since the start of COVID19 the remote work or work-from-home have become nominal. Working from home has many advantages and one of them is the extra time. So, if you have more time on your hand and desire to make more money, then follow these high-paying side hustles for data science. These side hustles can also become the key to your financial freedom, as you will be earning plenty of money on your term. I was working full time for a company and I was not happy.

Also: Top Programming Languages and Their Uses; The Best Python Courses: An Analysis Summary; Is Data Science a Dying Career?; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

Entrepreneurs should always be learning. Jim Rohn, a known motivational speaker, says that the world's most successful people are lifelong learners. While the world of business is constantly evolving and adapting, good entrepreneurs know that they have to evolve right along with it. We've rounded up some of the best courses you can take online, on your own time, to improve your skills for the new year. Python is one of the most popular programming languages for non-technical founders because it's relatively easy to learn and has a huge array of applications.

UBank is embracing the industry shift to open data banking through a partnership with Australian fintech, Basiq, leveraging machine learning (ML) to give customers a more complete picture of their finances. The partnership hopes to offer customers predictions of future spending behaviours just by using their UBank app by 2020. This follows UBank launching its third artificial intelligence-based customer assistance offering earlier in the year, and what it claimed was the first digital human home loan application assistant. Dubbed'Mia', short for my interactive agent, the offering is built on digital human technology created by New Zealand company, FaceMe. It taps into IBM's Watson AI engine and designed to help consumers answer real-time questions during the home loan application process.

All the same, it's one thing employers love to hate. Whenever an employer hires a worker, the understanding is that they have offered a fair wage for what you have to offer. Therefore, any time spent outside work should be for recuperating (recreation and sleep) from the busy day. That has been the thinking: "Eight hours labour, eight hours recreation, eight hours rest." It might have worked in the early 20th century, during the industrial revolution, but a rethink for the demands of the 21st century is long due.

All the same, it's one thing employers love to hate. Whenever an employer hires a worker, the understanding is that they have offered a fair wage for what you have to offer. Therefore, any time spent outside work should be for recuperating (recreation and sleep) from the busy day. That has been the thinking: "Eight hours labour, eight hours recreation, eight hours rest." It might have worked in the early 20th century, during the industrial revolution, but a rethink for the demands of the 21st century is long due.