Alireza Tavakkoli

[Anuj @anujcodes_21]

🚨Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Alireza Tavakkoli @XponentialART]

@PooriaPooria #freedom

[Alireza Tavakkoli @XponentialART]

The big problem hierarchical thinking brings is that people influence / get influenced by power not by their authentic being which creates uniquely valuable ideas, and products.
It's obvious in both companies and the society.
It kills independent thinking / diversity.

[Alireza Tavakkoli @XponentialART]

@signulll super 👌

[Alireza Tavakkoli @XponentialART]

@jesusology1 تراپی واسه آدم چیکار میکنه ؟!

[Alireza Tavakkoli @XponentialART]

War is the product of a zero-sum mindset and the struggle of the losers.

[Alireza Tavakkoli @XponentialART]

@Shreyas Doshi's Product Sense course is a unique and unbelievably valuable unlearning experience.
It's not only an in-depth product course but also helps you to remove huge amount of noise from your life.
Absolutely practical !

[Shreyas Doshi @shreyas]

So, here’s the Antithesis Principle:

You might need to understand a certain thing about how the world works & apply it, so you can be effective.

But you may need to adopt the antithesis of that to yourself so you can be a wiser, kinder, happier, more effective person yourself.

[Dr Milan Milanović @milan_milanovic]

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺?

The Data Platform is an analysis platform that enables you to ingest, transform, and extract value from your data.

Everything starts from different data sources, which you can connect using data loaders that serve as connectors. You can then use these connectors to ingest your data into a data lake.

When data arrives, it goes to different layers, where it is transformed, and then it can be visualized for machine learning development.

Who can use a data platform?

𝟭. 𝗡𝗼𝗻-𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘂𝘀𝗲𝗿

Typically, non-technical users can utilize these platforms to extract value from data and visualize it.

𝟮. 𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿

They will use everything that the non-technical user does, but get deeper into the features of a visualization tool.

𝟯. 𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁

They will delve even deeper into every feature, utilizing the data already made available by the Data Engineer through their Python algorithms in notebooks.

An example of a Data platform is shown in the image (Semantix Data Platform). Other examples include Google BigQuery, Azure HDInsight, and Apache Hadoop.

Image credits: Semantix Data Platform.

[Alireza Tavakkoli @XponentialART]

@SimiaRoom ورزش جدی

[Alireza Tavakkoli @XponentialART]

@Rich_Belt Hi Richard,
I'm so curious about your product

[Alireza Tavakkoli @XponentialART]

@holy_katsumoto @SimiaRoom

[Alireza Tavakkoli @XponentialART]

Convert your curiosity into creation.

[Alireza Tavakkoli @XponentialART]

You Fall to Climb.
It’s how it is designed.

[Alireza Tavakkoli @XponentialART]

@adameaval سنایی

[Alireza Tavakkoli @XponentialART]

@iman0164 Traveling, like any other activity is measured by its purpose.
I mean our purpose of doing things differentiates the impact of the experience.
I really like Airbnb’s slogan : “Live Like a Local”

[Alireza Tavakkoli @XponentialART]

@Reyhnnn__ ممکنه لطفا یکم اطلاعات بدین راجع به دوره ؟
خیلی ممنون

[Alireza Tavakkoli @XponentialART]

@SimiaRoom اینکه تو عروسی و مراسم رسمی لباس رسمی پوشید.
بنظرم شلوار ورزشی و تیشرت و هودی مناسبترین لباس برای همه جا و همه مدل مراسم و مهمونیه

[Alireza Tavakkoli @XponentialART]

@SimiaRoom ترسیدن
کمک‌ نگرفتن

[Alireza Tavakkoli @XponentialART]

@siavashtwt 50