T

Cinephile, Foodie, Gamer, Travel Enthusiast!

[T @toshki]

He looked like @Justin_Willman for a bit 🫣

#appleevent #apple

[T @toshki]

@Bonemantle @ManningBooks They develop books in Early access for months with multiple reviewers, but okay. Lol!

[Manning Publications @ManningBooks]

Most of what people call an "AI agent" is really just a chatbot wearing a tool belt.

That's not an AI agent.

A real agent plans, uses tools, remembers, recovers, and can be evaluated.

Learn to build one you can ship in Micheal Lanham's AI Agents in Action, 2nd Ed.

[Manning Publications @ManningBooks]

What info AI shares has always been murky. Perhaps intentionally. But when you run your AI locally, you know exactly where your info is going — nowhere you don't want it to.

Build Apps with Local AI Models on a Mac teaches you how to build one. For 50% off use code golocal

[Manning Publications @ManningBooks]

Ship Distributed Systems with Confidence https://t.co/9rIgayJ7Im

[Manning Publications @ManningBooks]

AMA with Luis Serrano https://t.co/Jq8vFeUAaG

[T @toshki]

Such mediocre captaincy by Patidar.. DC were 8/6.. why not continue Bhuvi and Hazelwood? How was Kohli on board with it? RCB could have wrapped them under 30

[Kirk Borne @KirkDBorne]

2nd Edition — now at https://t.co/AnWbwkheUN v/ @PacktDataML

Graph Machine Learning — Latest advancements in Graph Data to build robust #MachineLearning algorithms

𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
🟠Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library (DGL)
🔵Explore GML frameworks and their main characteristics
🟠Leverage LLMs for machine learning on graphs and learn about temporal learning
🔵Purchase of the print or Kindle book includes a free PDF eBook

[Bojan Tunguz @tunguz]

Kaggle Book Live https://t.co/6CuGmiu4El

[T @toshki]

@gheorgheiuga @tunguz Massive difference!! If only I had more followers on X, I would host the live session here.

[Kirk Borne @KirkDBorne]

Get "Mathematics of Machine Learning" here: https://t.co/07exFk5LqL by @TivadarDanka v/ @PacktDataML
—
Author’s GitHub: https://t.co/2ENjzhr35C
—
Here is my review:

𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

This massive book is incredible, with its comprehensive coverage of numerous fields of mathematics and their intersection with the world of AI, data science, and machine learning (AI+DSML). I remember the very first time that I encountered machine learning. This was 20+ years ago, and that was already after 20+ years of being drenched in advanced mathematics as an astrophysicist.

That first encounter of mine with ML was this definition: "Machine learning is the set of mathematical algorithms that learn from experience" (slightly paraphrased from the original quote by Tom Mitchell, CMU). That definition surprised me, confused me, motivated me, and changed the course of my career from astrophysics into AI+DSML.

This book by Tivadar Danka captures the full meaning of that definition. The book covers thoroughly the many areas and domains of mathematics through which patterns in data are detected, described, learned, and recognized - all for the benefit of powering ML and AI algorithms, applications, and aspirations.

This book will motivate you, surprise you, and inspire you in many ways, no matter what level of mathematics has (or has not) already propelled your career journey. There is room for all of us to grow.

This is a great book, worthy to sit on everyone's desktop, ready to help you explore and exploit the full set of mathematical algorithms that learn from experience.

The book is accompanied by a rich GitHub code repository of Jupyter notebooks. Learn by doing! Do by learning!

Disclosure: the publisher provided me with a free review copy of the book.

[Packt Data Science & Machine Learning @PacktDataML]

Go beyond https://t.co/VfyHp1mXLc and master the math powering modern ML. Tivadar Danka teaches it live on Jan 24. Sign up → https://t.co/Zr6hbcC7aT

[T @toshki]

@JABDE6 Preordered it, received my book last evening!

[T @toshki]

@TivadarDanka Love this @TivadarDanka
Cc: @ProfTomYeh

[T @toshki]

@haifah_er_abba 042 is the answer!

738 are eliminated by the fourth hint.
6 gets eliminated by first and second hint.

0 & 2 are worked out along with its placement with first, third and last hint.

Leaving 4 as the only number from the second hint.

Ergo, 042!

[T @toshki]

@PR0GRAMMERHUM0R Surprised she still works there. Not so surprised her name is Karen! 🫠

[T @toshki]

@comfortcafex Bilinguals and multilinguals have lots of solutions for this.. plus, I am Indian. I can just bobble my head and that would be enough! 😁

[T @toshki]

@elonmusk Would love a Tesla someday! Can’t afford one now :)

[T @toshki]

@ADHDForReal 27 + 8 =35

35 + 40=75

[T @toshki]

@twitheadfolwr @elsleightholm @maths_week It may have, I’m sorry, I don’t know. If you find out please do let me know as well :)