What’s music to the ears? Can you distinguish between music made by humans vs that made by AI? I can’t tell, to be honest. Have a listen to the below:
AI in the music industry is nothing new. AI tools such as Google’s NSynth Super, Shutterstock’s Amper Music and Sony’s Flow Machines have been used by musicians to make music or simplify their music-making process.
Known as Xiao’an — Composer, Life Science Husband on LinkedIn, his headline says “Music For Whatever The Hell You Want | AI Solutions To Music Industry Problems”. That got me really curious. What has a composer got to do with AI solutioning?
By trade, he’s not a data scientist, nor is he a machine learning engineer. What’s more, you may also notice that his Linkedin profile credentials don’t relate to STEM at all. So you’re probably wondering, how has Ravit Jain has become a prominent figure in the data science space?
We’ve got all the answers for you!
There is a common assumption that an influencer in the data science community will have a specific type of background. Whether it be a job title or degree qualification.
However, Ravit renders this assumption irrelevant by completely crushing this stereotype. His illustrious career proves…
Like everyone else, Google is my best friend. Pratham Prasoon has shown me how the internet has liberated learning for everyone. Machine learning is no longer a complex subject limited to academic folks. Young and old alike, can have access to the common resources and are free to learn what they like.
Be sure to follow the real @PrasoonPratham on Twitter.
Read on to find out how Pratham picked up his skill sets and what it’s like to be a young person in data science in current times.
Pratham: I’m not quite sure why, but I was always on…
A lot of us from the ‘older generation’ commonly tell ourselves “what I wouldn’t give to be young again”. In an era with information available with a touch of a button, you’d think the possibilities are endless. Easy for me to say. If I were 16 at this very moment, instead of learning about data science, I’d probably be procrastinating by watching too many TikTok dances.
If you were to peruse through Tech With Pratham, you wouldn’t have guessed the website creator has celebrated his sweet 16th birthday this year. What’s more, Pratham Prasoon has officially become a researcher with…
‘One of the benefits of growing an open-source product is the community around it. They contribute to the code and grow their skills together.’
I have now interviewed quite a few inspiring members of the data science community, and I have noticed that they all have one thing in common: they are not afraid to take a break from their corporate jobs and spend their time exploring what they like.
Philip Vollet is one of them. We had a chat to talk about his career path, his passion for communication and NLP, and his participation in the open-source community.
Many African’s leave the country to obtain a more ‘global’ platform to try their hand at becoming among the best in their fields. Many couldn’t find a viable way to apply their AI and machine learning expertise in Africa.
Instead of waiting hopefully for new opportunities to arise, Mabu Manaileng actively looked for ways to open them up for himself instead.
Read on to find out more about the movie-like journey that he embarked upon. We’ll explore how he got to where he is now, and where he seeks to be heading next.
Mabu: We actually started Datawizzards out of…
As the old Chinese saying goes:
Give a man a fish, and you’ll feed him for a day.
Teach a man to fish, and you’ve fed him for a lifetime.
Big tech has been heading to Africa in recent years, as reported by Forbes Africa. This inevitably creates job opportunities for the locals. Which, on a surface level, sounds great. Some people think that the tech giants recognise the continent as a source of innovation and talent. Others believe that Africa is mulling the taxing of Big Tech.
Mabu Manaileng (who has a Chinese name 马奔腾) looks up to China…
2021 is a year of harvesting for Susan Walsh — the fixer of dirty data!
Follow us in part one of this interview with Susan as we understand more about ‘dirty data’ and how the ‘classification guru’ ensures that data has its COAT on.
When times get tough: Susan Walsh shares her ups and downs transparently during her path to success.
I feel the responsibility not to make it seem like I am super successful, with a great, amazing and glamorous life. Some days are great and some days are not so great. I want everyone to see my whole journey.
In case you don’t know her, Susan is: