Arkid’s Newsletter | Revenue & Trends

The hottest Substack posts of Arkid’s Newsletter

And their main takeaways

AI and machine learning are creating a lot of hype, but it's important to separate the noise from the real value. Just like in the dot-com boom, there will be winners, but it won't be easy to find them.
Many companies are wasting money on consultants who offer little help without delivering real results. To succeed in AI, businesses need to focus on building intelligent products that can learn and iterate based on user feedback.
There's concern about AI taking over jobs in software and machine learning, but skilled professionals will still be needed. It’s crucial for entry-level workers to build solid expertise in their field and adapt to new developments in AI.

Fast AI courses are great for learning computer science basics like programming and linear algebra
Social pressure can be a helpful motivator to keep learning and progressing in courses
Joining forums like Fast AI forums can provide valuable support and solutions when encountering difficulties

Federated Learning is a decentralized form of machine learning that ensures privacy and data security.
Federated Averaging is a technique used in Federated Learning to update global models with local changes.
Federated Learning allows for on-device training while maintaining privacy and improving model performance.

The Markov Inequality helps predict unlikely extreme events based on distribution info
The Chebyshev Inequality shows that a small variance means a random variable is close to the mean
The Weak Law of Large Numbers and Central Limit Theorem are essential for understanding probability and statistics in ML