Sangam

[PyMC Labs @pymc_labs]

Meet our AI-driven MMM Agent, powered by PyMC-Marketing, to turn months of modelling into hours ⏳ with little data prep, no adstock guesswork, just fast insights.

👉Read more: https://t.co/ygvg9MAIrq

📩Looking for early access? Contact: [email protected]

#GenAI #AiAgents

[PyMC Labs @pymc_labs]

Are synthetic respondents, digital twins & multi-agent simulations the future of market research?

Each week, we’ll break down the latest research at the intersection of AI and market research.

Stay tuned for #FocusedExplorations

📩Subscribe to: https://t.co/AGFsYRlzmZ

#ai

[PyMC Labs @pymc_labs]

📢 In case you missed the live webinar on MMM with PyMC-Marketing and @databricks featuring Corey Abshire, Will Dean and @twiecki , the recording is now available on our YouTube channel!

👉 Check it out here: https://t.co/NQ6glQHYka

#PyMCMarketing #DataBricks #MMM

[PyMC Labs @pymc_labs]

⚖️ Bayesian methods give us a robust way to measure uncertainty

👀 By integrating them with genAI, we are building systems that go beyond simple predictions

🔔Stay tuned for deep-dives on Bayesian agents, causal AI & sound synthetic data: https://t.co/AGFsYRl1xr

#genai #PyMC

[PyMC Labs @pymc_labs]

🎙️ In a recent discussion, @twiecki and @1010is10 reflected on their experiences building high-performing remote teams at @pymc_labs , sharing successes, challenges, and lessons learned. Here’s a glimpse:

🔗 https://t.co/GzqNtvyWW7

#Interview #PyMCMarketing #CausalPy

[Pierre-Simon Laplace @LearnBayesStats]

👋 Farewell, X!

After much thought, we’ve decided to move on. Thank you for being part of our X community, your support and conversations have meant so much💙

We’re still around! You can now follow us on:
👉LinkedIn: https://t.co/PDVEGtHpma
👉Mastodon: https://t.co/9QzYT8tXhc

[Pierre-Simon Laplace @LearnBayesStats]

📢 Episode 119 is live!

🎙️ In this 𝑳𝑩𝑺 episode, @alex_andorra & @rmkubinec discuss corruption research, the challenges of measuring it, and survey techniques like randomized response and more!

🎧 https://t.co/Io3MJzjEv4

#LearningBayesianStatistics #Bayesian #Causal

[PyMC Labs @pymc_labs]

🎙️ In a recent chat, @ulfaslak reflected with @twiecki on moving from academia to industry.

🔗Watch the full interview here: https://t.co/jN9aHx8NoO

#interview #PyMCMarketing #CausalPy

[PyMC Labs @pymc_labs]

👉Join @alex_andorra and Chris Fonnesbeck at @pydatanyc for a focused tutorial on Gaussian Processes (GPs) in @pymc_devs

👇Join us:
🎟️Tickets: https://t.co/UW0sw7niiF
📄Event Info: https://t.co/Nc5RJnHaDM

#Gaussianprocess #PyMC

[PyMC Labs @pymc_labs]

🤔If you're curious about tackling complex marketing questions with Bayesian modelling, don’t miss @1010is10 's session on 𝐏𝐲𝐌𝐂-𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 at @pydatanyc

🎟️Tickets: https://t.co/UW0sw7niiF
📄Event: https://t.co/nArBrYpk4O

#PyMCMarketing #PyData

[PyMC Labs @pymc_labs]

📢In case you missed our webinar, Bayesian vs. Causal Modeling: Same, Similar, or Different? with @AleksanderMolak, @cetagostini, and @twiecki, the recording is now on YouTube!

👉 Check it out here: https://t.co/lOD2n08EyB

#BayesianModeling #CausalModeling

[Pierre-Simon Laplace @LearnBayesStats]

👉 If you’re diving into amortized inference, check out BayesFlow's Awesome Amortized Inference repository
🔗 https://t.co/DAFnM5F6we

📘 @MarvinSchmittML has spearheaded a valuable effort to put together a repository that invites contributions, making it a go-to resource.

[PyMC Labs @pymc_labs]

We’re going live in just 2 hours! 🔥

RSVP now 👉 https://t.co/aFwrY57kHc

Join us here 👉 https://t.co/MNSP0sA40s

[PyMC Labs @pymc_labs]

🚨 Heads up! Our latest Bayesian Newsletter just dropped! 📬
👉 https://t.co/ywm5bWHbGA

🤯 This month’s edition is packed with exciting news! From our work with @CP_News to updates on PyMC-Marketing, CausalPy, upcoming events, and more!

#Newsletter #PyMCMarketing #CausalPy

[PyMC Labs @pymc_labs]

📈 In a recent interview, @1010is10 chats with Jesse Grabowski about his journey into Bayesian statistics and the @pymc_devs project

👉 Here’s what he had to say!
🔗 https://t.co/6huStGn1UE

#interview #ExpertInsights #PyMCMarketing #CausalPy

[Pierre-Simon Laplace @LearnBayesStats]

📅 We’re bringing LBS to @pydatanyc on Nov 7 & 8!

🎤 Be part of the live experience, join the Q&As, connect with the speakers and host @alex_andorra afterwards.

🎟️Get your tickets: https://t.co/7B0H9d2eS4

#LearningBayesianStatistics

[PyMC Labs @pymc_labs]

🤔Causal sales analytics: Are my sales incremental or cannibalistic?
🔗 https://t.co/yMCt4rEMJv

In our recent blog post by @inferencelab featuring a @CP_News case study 📊, we dive into the complexities of distinguishing incremental sales from cannibalization.

#PyMCMarketing

[PyMC Labs @pymc_labs]

🔍 Traditional models like Pareto/NBD often struggle with seasonality & cohort differences in CLV prediction.

📊 In our recent blog post, @juanitorduz explores how hierarchical Bayesian models can enhance CLV predictions beyond classic baselines.

🔗https://t.co/sCffbF1TDB

[PyMC Labs @pymc_labs]

🌊 Looking to dive deep into CLV? Join us for an upcoming webinar "CLV Modelling in the Marine Industry" with experts Alexander Bor(Wärtsilä) and Colt Allen(@pymc_labs)

📅 May 8th 2024, 16:00 UTC / 9:00 am PT / 12:00 pm ET

💻 Register : https://t.co/MYMwmM6sEP

[PyMC Labs @pymc_labs]

🎉 PyMC-Marketing 0.5.0 now supports lift calibration!

✅ Pass one or more lift test results to the model via custom likelihoods to calibrate your MMM estimations

👀 Checkout the notebook: https://t.co/PNacKFe7gz

🙏 Special thanks to all our contributors