Dr. Ari Zelmanow’s Post

Why has research become impotent? Here's one reason 👇 I have come to realize that research teams are focused less on adding value... And more on providing validation. Rather than being asked to test hypotheses... They are being asked to defend them. They have become the defenders of cherry-picked data that supports a narrative... Rather than the interrogators of data, helping to inform a narrative. So I ask... What the hell are we doing here? ~fin~ ===== 👋 I'm Ari... I write a short email to 700+ people every Saturday on how to leverage Customer Forensics™ to make better growth bets by: 🔎 Collecting and interrogating evidence like a detective 🎤 Reporting insights like a primetime news anchor ⚖️ Building business cases like a trial attorney Want me to send it to you? Link in the comments below 👇

"What I’d like is an easy-to-use system that gives good performance for both seen and unseen codes, with low overfitting risk." In a new practical deep dive, Valerie Carey experiments with different methods for encoding hierarchical categoricals.

"What I’d like is an easy-to-use system that gives good performance for both seen and unseen codes, with low overfitting risk." In a new practical deep dive, Valerie Carey experiments with different methods for encoding hierarchical categoricals.

Don't let clients make life difficult! Learn once and for all how to get client data on a 24/7 basis. And it is not rocket science! Registration link in top comment below!

🤔 While going through documents to create our supervised fine-tuning (SFT) and direct preference optimization (DPO) data, I came across this clause. At first, I was 100% convinced that it was an LLM-generated contract. This is a classic example of what happens when next-token generation gets stuck in a loop. Then I realized the doc was from 2000. Time machine? 🚀🕢 Or more likely, someone accidentally hit ctrl+v twice. In reality, it's just another example of what's really happening every day, even today in 2024. So much of what we do is mindless text generation. Even worse, much of this text is written at the end of a very long day (or week...or month). Fatigue and boredom end up creating an environment where even the best humans have uncomfortably high error rates. That's where our contract-specific sampling techniques are going to help. 😁

I'm excited to share our latest blog post, which delves into the complexities of automated smooth N'th order derivatives applied to noisy, non-uniformly sampled data. This insightful piece explores innovative techniques that enhance data analysis and improve the accuracy of derivative calculations. Whether you're a data scientist or a researcher, you'll find valuable information that can elevate your work. Read the full blog post here: https://ift.tt/tbeJuSf.

Who Wants to Talk Solutions? The message is clear: Who wants to talk solutions? As W. Edwards Deming wisely stated, "Without data, you are just an opinion." To Address the Unseen, You Need: - Data - Not Opinions If you're eager to learn how to gather data and eliminate opinions, the path is simple. Here’s How to Get Started: Reach out and ask about how Humanixs help you talk safely about what is unspoken. Take teh opportunity to learn that bullying is merely a symptom of a poor understanding of complexity and systems. The solution is already present in the room; we just need to know what to look for and how to listen. This solution doesn’t require rocket science. It becomes easier when we fill in the spaces between the dots to make meaningful connections. Let’s gets talking about solutions! Email us at [email protected] to find out more and speak to David Howell or Junior Schoeman

Interesting period of transition is just happening and we hope the new policies influences these thinking. Great to higlight it. However, we always says its employees are being neglected.. How about the employers that is responsbile for employees and catching up with the potential huge political responsibilities coming up for them? There might be a possibility that we look after the employers, so they can take care of their employees that in turn look after the communities. Huge support for each other .. Leave us a like if you agree. #wellbing #workplace #employers #employees

Whatever complexity involved is seldom really complex, rather a matter of not having a right context from where to listen and speak to, and being in the wrong place in the wrong town for wrong reason despite being considered the right person right qualification skills and experience, as seldom truly reflect the talent and sensitivity of individual to complex changes. There is simplicity involved with humans in state of stress will overthink and miss the simple that's hidden inside, especially if part of that stress is struggling with our competence and alignment with jobs with engage with working in unrelenting systems that do not include how humans at an innate level are talented to function organically in any environment. It is so easy to get a mix of people environment and complexity wrong and the result is seldom good for human experiences. It is equally simple to get it right having the right data taken from an individual human level, where we do not fix site on visible actions, or human behaviour traits which has been further confused by algorithms we used to put people in boxes. Humanixs offers an opportunity to sidestep all of those pitfalls. Why not reach out be curious and find out how it gets done?

In my latest publication, my co-authors and I present a method to effectively implement the Filtered Historical Simulation in cases where the (residual) returns exhibit hidden dependencies. These dependencies persist even after applying all available filters to the original series, offering a new approach to handle such complexities in financial data. https://lnkd.in/dBimBSNX