Edwardus Dody Irawan

Seorang PENDENGAR yg BAIK bagi CURHATmu | Pembelajar Internet Marketing | HealthyPreneur #EnagicKanGenWater @TukangAerKangen
Ph: [phone]

[Bintang @tang__kira]

Lee Haeshin (50) adalah profesor kimia KAIST. Pada April tahun ini, ia mendirikan sebuah start-up, Polyphenol Factory. Perusahannya mengembangkan shampoo yang dapat mengatasi kerontokan dan menambah volume rambut.

Saking populernya, shampoo tersebut selalu sold out. Bahkan shampoo tersebut akan segera diimpor ke Jepang, Amerika, dan Kanada.

[Roni Rahman @heyronir]

AI is now inside Google Maps!

Prepare to be blown away by these 5 mind-blowing AI features!

(number 2 is my favorite)

[Edwardus Dody Irawan @Edo_Bojiro]

Thanks to Isabela Kronemberger for making this photo available on @unsplash 🎁 https://t.co/wXayZ7Du2G

[Kirk Borne @KirkDBorne]

#ChatGPT Prompt Cheat Sheet
via @jblefevre60

[Wise Philosophy @Wise1Philosophy]

The five laws you need to know.

[Jose Robinson @theaipreneursof]

ANYONE can now have their own personal data analyst

Successfully analyzing your business KPIs could be the difference between winning or failing

Below are 20 ChatGPT code interpreter prompts to analyze your business

[Bookmark to save🔖]

1. Descriptive Statistics:

Prompt: "Using our sales dataset, provide measures of central tendency (mean, median) and dispersion (variance, standard deviation) to summarize its key features."

2. Time Series Analysis:

Prompt: "Given our monthly revenue data over the past five years, can you apply ARIMA modeling to forecast the next 12 months?"

3. Hypothesis Testing:

Prompt: "Given the A/B test results from two different webpage designs, can we statistically determine if one design led to more conversions than the other?"

4. Regression Analysis:

Prompt: "Using our advertising spend and monthly sales data, can we build a regression model to predict the effect of increasing our advertising budget by [X%]?"

5. Cluster Analysis:

Prompt: "Given a dataset of our customer demographics and purchase behaviors, can we use k-means clustering to segment our customer base?"

6. Principal Component Analysis (PCA):

Prompt: "Considering our extensive customer survey data with multiple variables, can PCA be applied to reduce dimensionality while retaining most of the data's variance?"

7. Chi-Squared Test:

Prompt: "Given observed frequencies of product returns across different categories, can we employ a chi-squared test to see if product category affects return rates?"

8. Survival Analysis:

Prompt: "Using our subscription data, can survival analysis help understand the median time until a user cancels their subscription?"

9. Path Analysis:

Prompt: "Using the data from our user journey on our website, can we employ path analysis to determine which sequences of interactions lead most effectively to conversions?"

10. Logistic Regression:

Prompt: "Given customer attributes and purchase histories, can we create a logistic regression model to predict the likelihood of a customer making a purchase in the next month?"

11. Factor Analysis:

Prompt: "In the context of our market research survey with multiple correlated variables, how might factor analysis help in identifying underlying factors?"

12. Bayesian Analysis:

Prompt: "Given prior data on marketing campaign successes and new campaign data, can we apply Bayesian methods to update our beliefs about the efficacy of certain marketing strategies?"

13. Non-Parametric Tests:

Prompt: "If our data isn't normally distributed, which non-parametric tests can we apply, like the Mann-Whitney U test, to compare two independent samples?"

14. Power Analysis:

Prompt: "Before launching a new A/B test, can we conduct a power analysis to determine the required sample size ensuring meaningful results?"

15. Cross-Validation:

Prompt: "When building our predictive machine learning models, how can we implement k-fold cross-validation to assess their performance reliably?"

16. Sentiment Analysis:

Prompt: "Given the customer reviews and feedback from our digital products, can sentiment analysis help categorize and quantify the sentiments into positive, negative, or neutral?

17. Multivariate Testing:

Prompt: "If we're considering multiple changes to our website, how can we set up and analyze a multivariate test to assess the combined effect of these changes on conversions?"

18. Cohort Analysis:

Prompt: "Using sign-up data, can we group users into cohorts based on their join date and analyze their behavior over time to detect patterns or trends?"

19. Multilevel (Hierarchical) Models:

Prompt: "Given sales data from individual salespeople within different regional teams, how can multilevel models help account for both individual and group-level variations?"

20. Correlation Analysis:

Prompt: "With data points across various business metrics, can we determine which pairs of metrics are strongly correlated, and might one be influencing the other?"

[Ismail Fahmi @ismailfahmi]

TEKNIK TANAM MELON HIDROPONIK JEPANG ALA DRONE EMPRIT

Hanya dengan 6 pohon melon, setelah 2.5 bulan, anda bisa panen 80 buah melon selama 2 bulan berikutnya. Seru kan?

Ingin tahu rahasianya? Simak sampai akhir. Semua dikupas tuntasss...

>>

[Яizal do @afrkml]

CATET! Jangan sampai salah lagi.
1. Demam >38 °C? Pamol
2. Meriang >37,5-38 °C? Bnyk minum air, kompres anget, istirahat
3. Terkilir? PRICE
4. Memar? Kompres es
5. Perdarahan? Hentikan perdarahan tutup&tekan luka, angkat luka, balut
6. Luka bakar? Aliri air 10-20 menit

Ada tambahan?

[Aakash Kanojiya @Kanojiyaaakash1]

Free Certification Courses from Google to try in 2023:

🔸Google Analytics for Beginners
https://t.co/wMvDemjetS

🔸Advanced Google Analytics
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🔸Google Ads Search Certification
https://t.co/tB7q1PATZ4

🔸Google Ads Display Certification
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🔸Google Ads Video Certification
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🔸Flutter Development
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🔸Application Development - Java
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🔸Flutter Essentials
https://t.co/4oHUVoiMeh

🔸Intro to ML: Language Processing
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🔸Dart Essentials
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🔸DevOps Essentials
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🔸Build Apps & Websites with Firebase
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Follow @Kanojiyaaakash1 for such free resources.

[Paul Couvert @itsPaulAi]

Replace your old apps with free AI tools.

Here is a table of the best AI alternatives to increase your productivity:

[Paulius 🏴‍☠️ @0xPaulius]

Turn Prompts into $1,000/Mo+ Products

Here’s how I built, shared and monetized my own $100M Offer Generator App in under 10 mins

Oh, and it's ZERO code

[Tansu Yegen @TansuYegen]

🔦🪨 Bring your stone and pick a design, and this laser machine will carve it onto the stone surface. Awesome result…

[Life Pad @The_Life_Pad]

10 poses with numerous benefits!

1.

[World of Statistics @stats_feed]

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[L.A.M.Z @OlamideTowobola]

If you’re looking to learn GRAPHIC DESIGN, LOGO DESIGN, PHOTOSHOP, ADOBE ILLUSTRATOR, PORTFOLIOS CREATION

Here’s a fully loaded MATERIAL for you, all for FREE. Share with DESIGNERS on the TL.

https://t.co/glSwrSzKWS

[Edwardus Dody Irawan @Edo_Bojiro]

@kokokdirgantoro @zanatul_91 @psi_id Gaaassssss......

[Hasan Toor @hasantoxr]

10 New AI tools to boost productivity:

1. Write Emails ➝ https://t.co/qWMA7VAuKk

2. Meeting Summarizer ➝ https://t.co/zLVwoN681S

3. Images ➝ https://t.co/5giubwU2B5

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7. Paraphrasing tool ➝ https://t.co/YyW8a4uBdO

8. Storytelling ➝ https://t.co/NQDJlUkkw5

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10. Generate Music ➝ https://t.co/yhDnJz8AHH

Try them Today!!

[Moritz Kremb @moritzkremb]

Companies are paying $10k+ for graphic designs.

But AI can create designs for free.

Here's how to create any design for free using AI:

[Edwardus Dody Irawan @Edo_Bojiro]

Excel Rose.....

[Maxwell 🕊 @MindWisdomMoney]

Excel is the most used analytics software of the last 37 years.

But most aren't using it to their Full potential.

8 hacks I guarantee you don't know: