Kyo Harada

a Freelancing MBA Data Science Consultant and Marketer

[Kyo Harada @KyoHarada]

**Visage AI v1.1.0 is now live!** 🌟

✅ 9-Metric Skin Analysis
✅ Data-Driven Age Estimation
✅ Modern Design
✅ Complete Privacy

👉 [App Store](https://t.co/nDwnmHn97M)

Built in Tokyo, designed for the world. 🇯🇵

#VisageAI #AI #Skincare #AppStore #MadeInTokyo

[Kyo Harada @KyoHarada]

🎯 Personal skincare recommendations just got smarter!

Our new CrystalAI system analyzes your skin type and delivers tailored product recommendations using an 82-model ensemble approach. Now running 24/7 ✨
https://t.co/AtGzU5eMtZ
#PersonalizedSkincare #AI #BeautyTech

[Kyo Harada @KyoHarada]

‘Instead of requiring data scientists…do a laborious data collection exercise before training a single domain specific model that is then put into production…[AI engineer] can prompt an LLM, and build…a product idea, before getting specific data’ https://t.co/ULEywSUlrt

[Kyo Harada @KyoHarada]

Introducing English as the New Programming Language for Apache Spark | Databricks Blog

In the ChatGPT, it must be the same https://t.co/vSvarXov9I

[Kyo Harada @KyoHarada]

HSBC Quitting Canary Wharf for the City Rocks Docklands District - Bloomberg

Back to home https://t.co/xx18suukY0

[Kyo Harada @KyoHarada]

OpenAI's plans according to Sam Altman
Rare but vital material determines firm’s strategy https://t.co/iDiN0WnE9Z

[Kyo Harada @KyoHarada]

“the U.S. economy has ... incentives ... to… overemphasize consumption. Much of what we purchase are called "positional goods" — goods whose value is measured in relation to the purchases of others” it’s understandable reason https://t.co/OClxIcQI2q

[Kyo Harada @KyoHarada]

“We can’t completely specify goals to an AI. And AIs won’t be able to completely understand context…Jeff Bezos: “Alexa, buy me something on Whole Foods.” Alexa: “OK, buying Whole Foods.”)” https://t.co/NM4b6LEKop

[Kyo Harada @KyoHarada]

“PyTorch is still growing, while TensorFlow’s growth has stalled”
Ohh it might be due to cross validation methods? It’s difficult to use in a occasion https://t.co/ACBDbexs7f

[Kyo Harada @KyoHarada]

“Using virtual reality to get humans into these simulated environments and enable them [embodied AI] to demonstrate things and interact with the robots is going to be very powerful”. They may recognize the ideas like a human. https://t.co/oWDvwV7Hy3

[Kyo Harada @KyoHarada]

“You should not be limited by the capabilities of the tool you are most comfortable with; your job is to provide true insight, not apply a particular tool.”
Tools should be chosen by the purpose of analysis, not by how familiar it is. Good article! https://t.co/M2HrepmDLb

[Kyo Harada @KyoHarada]

Explaining Machine Learning Models: A Non-Technical Guide to Interpreting SHAP Analyses https://t.co/K8jmv37DJ5
Good introduction about SHARP Value for model interpretation. #machinelearning #AI

[Kyo Harada @KyoHarada]

“One place AI has really shined, though, is in content recommendation. It turns out that computers are frighteningly effective at targeting and disseminating content”
Then we need to consider both aspects which are creepy and comfortable. https://t.co/uQXqj2VWw7

[Andrej Karpathy @karpathy]

The ongoing consolidation in AI is incredible. Thread: ➡️ When I started ~decade ago vision, speech, natural language, reinforcement learning, etc. were completely separate; You couldn't read papers across areas - the approaches were completely different, often not even ML based.

[Kyo Harada @KyoHarada]

Python open source libraries for scaling time series forecasting solutions | by Francesca Lazzeri | Data Science at Microsoft | Nov, 2021 | Medium
It’s useful for time series #machinelearning https://t.co/6MVWpdAvTP

[Kyo Harada @KyoHarada]

‘the theoretical prospects of QML are numerous. However, current QML systems are resource-intensive and show subpar performance compared to classical ML systems’
#MachineLearning #ai
https://t.co/Zwk5zwu8AZ

[Kyo Harada @KyoHarada]

‘AI could be a powerful tool, enabling forecasters to spend less time trawling through ever growing piles of prediction data and instead focus on better understanding the implications of their forecasts’
#ai #machinelearning is applied to rain forecast
https://t.co/eOuM8Lmg7R

[Kyo Harada @KyoHarada]

In the professional service industry such as consultancy, MVP can be consultants themselves, which might be called as wizard of oz MVP
#business #Consultant #startups

[Kyo Harada @KyoHarada]

A Big Study About Honesty Turns Out To Be Based On Fake Data https://t.co/zEa3piIlUb via @stephaniemlee
Data accuracy and storytelling can be quite hard to hold…

[Kyo Harada @KyoHarada]

https://t.co/SSyBTqs9ot
‘AI program aimed at achieving system 2 abilities, such as reasoning, being able to factorize knowledge into pieces which can easily recombined in a sequence of computational steps, and being able to manipulate abstract variables, types, and instances’ #AI