Check out, Math of Machine Learning: https://t.co/XwpnuQZwDP

Tomorrow! 🎓 Join Packt’s free “Statistics for Machine Learning” workshop with Thomas Nield — the essential foundation before our advanced ML workshop in November. Don’t miss it! https://t.co/ygqVL5qFgN #ML #Data

⏰ 𝟐𝟒 𝐡𝐨𝐮𝐫𝐬 𝐥𝐞𝐟𝐭! 💡 𝐅𝐫𝐞𝐞 𝐭𝐨 𝐚𝐭𝐭𝐞𝐧𝐝 | 𝐅𝐞𝐰 𝐬𝐞𝐚𝐭𝐬 𝐥𝐞𝐟𝐭 👉 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://t.co/DAnTGhS027 🎓 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐟𝐨𝐫 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 with @thomasnield76

🧠 Turn your Python models into real apps with Getting Started with Taipy by Eric Narro — 30% off eBook, 10% off print this week! https://t.co/AKPrBCJGFT

In the age of AI, understanding statistics isn’t optional, it’s your edge. Join Packt’s free “Statistics for Machine Learning” session on Oct 14. 🎓 https://t.co/kIC9GIXUcw

AI learns like a Bayesian — start with belief, see evidence, update the truth. 🎯📊📘 Essential Math for ML – Part 2 -> Sign up here to get it first: https://t.co/3j9MKbDF2n

The chain rule links every layer of learning — it’s how gradients flow and models truly learn. 🔗📉 📘 Essential Math for ML – Part 2 -> Sign up here to get it first: https://t.co/3j9MKbDF2n #ChainRule #LeibnizRule 📘 Mathematics of Machine Learning → https://t.co/CLAwbufp0y

It’s free. It’s one hour. Learn the stats shaping modern ML, and connect with hundreds of data pros who get it. 🧠💡 Join the Statistics for Machine Learning workshop on Oct 14. https://t.co/h2GhhttpZk #MachineLearning #DataScience

Sign up Now, Free Workshop: Statistics for Machine Learning! https://t.co/DAnTGhS027

First derivatives show direction, higher-order derivatives reveal the story behind stability, curvature, and learning. 📈🔍 📘 Essential Math for ML – Part 2 will be out by the end of this week. Sign up here to get it first: https://t.co/3j9MKbD7cP

What’s new in the latest edition of @GregDeckler’s Learn Microsoft Power BI? #data #books #book

The Monty Hall paradox proves it: math beats intuition—switching doubles your odds. 🚪🐐🚗 📘 Essential Math for ML – Part 2 will be out by the end of this week. Sign up here to get it first: https://t.co/3j9MKbDF2n 📘 Mathematics of Machine Learning → https://t.co/CLAwbufp0y

Cauchy–Schwarz is the guardrail of geometry—bounding dot products so embeddings, similarities, and ML models make sense. 📐 📘 Essential Math for ML – Part 2 will be out by the end of this week. 👉 Sign up here to get it first: https://t.co/3j9MKbDF2n #CauchySchwarz

How should #beginners approach #powerbi without feeling overwhelmed? #datavisualization #ai #books

@TivadarDanka "Mathematics of Machine Learning" See it here: https://t.co/Ij86JRjefo by @TivadarDanka via @PacktDataML

⏱️ Final Countdown: Tomorrow, Sep 27 — only 10 seats left to join Jason Strimpel live for the Python Algo Trading Workshop! https://t.co/Ll9TqEDisF🚀 #AlgoTrading #Python #PacktLive

Cookbook — Practical recipes for scientific computing, time series and exploratory data analysis using #Python: https://t.co/EaWUq779hV v/ @PacktDataML [3rd ed.] What you will learn: 🟠The PANDAS type system - how to best navigate it 🟢Import/export DataFrames to/from common

🚀 Join Jason Strimpel Live Sept 27 — get the AlgoTrading eBook, setup guides, Discord access, 90-day replays & certificate. Don’t miss out! #AlgoTrading #DataScience #PacktLive Live with Jason: https://t.co/Ll9TqEDisF

Every ML system starts with a coin flip—Bernoulli is the DNA of decisions, from logistic regression to agentic AI. 🎲🤖 Coming soon: Essential Math for ML – Part 2 drops this week! https://t.co/3j9MKbDF2n 📘 Mathematics of Machine Learning → https://t.co/CLAwbufp0y #Bernoulli

Conditional probability is the single most important concept in statistics. Why? Because without accounting for prior information, predictive models are useless. Here is what conditional probability is, and why it is essential.

📊 Data pros: Turn insights into trading systems, join @jasonstrimpel live Sept 27 🚀-> https://t.co/Ll9TqEDisF #AlgoTrading #DataScience #PacktLive