Wilson D'souza

Works at a leading IT Publishing Firm. Avid follower of technology updates and Indian politics. Views expressed here are personal.

[Wilson D'souza @wilsstar007]

@Jacobsklug @openclaw @Lovable OS

[Hasan Toor @hasantoxr]

🚨BREAKING: Someone just solved Claude Code's biggest problem.

It's called Claude-Mem and it gives Claude persistent memory across sessions.

- You can use up to 95% fewer tokens each time.
- Make 20 times more tool calls before reaching limits.

100% Opensource.

[Packt Data Science & Machine Learning @PacktDataML]

🧠 ML isn’t magic—it’s math. Join @TivadarDanka at #PacktMLSummit2025 to explore how understanding math unlocks real machine learning insight.🔗 25% off combo ticket for 𝐌𝐋 𝐒𝐮𝐦𝐦𝐢𝐭 𝟐𝟎𝟐𝟓 + 𝐌𝐂𝐏 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 🎟️ Use code 𝐌𝐂𝐏𝟐𝟓 → [https://t.co/xIZWi7A2DC]

[Packt Data Science & Machine Learning @PacktDataML]

Your optimizer isn’t broken—your gradient math is.
📘 Mertens’ Theorem explains why updates can diverge → https://t.co/CLAwbufp0y
#MathematicsOfML #OptimizerMath #MertensTheorem #MachineLearning #100DaysChallenge

[Packt Data Science & Machine Learning @PacktDataML]

If you’ve ever wondered how linear algebra, calculus, and probability power today’s AI revolution.. this is your sign to dive deeper.

Check out the book here: https://t.co/XwpnuQYYOh

#MachineLearning #Math #AI #ML #Data

[Tivadar Danka @TivadarDanka]

Four years ago, I started a project that turned out to be life-altering, and it has just passed a huge milestone.

I'm happy to announce that my Mathematics of Machine Learning book will soon be published by Packt Publishing! Yes, there will be a physical version.

[Maxime Labonne @maximelabonne]

Super proud to announce my new book: the LLM Engineer's Handbook 👷

I think we've built something special with @iusztinpaul and Alex Vesa, focused on best engineering practices, reproducible pipelines, and end-to-end deployment. Basically everything that is currently lacking in the ecosystem.

Our goal is simple: to provide everything you need to know to build LLM applications, all in one book.

Kudos to Paul and Alex for the extra smooth collaboration! These guys have created the excellent LLM Twin Course on GitHub (https://t.co/0MmSW1hdfy), an amazing resource for learning about LLMOps.

Everything I do online is free, but if you want to support this work, please pre-order our book. It greatly helps our visibility on Amazon.

📙 Pre-order: https://t.co/xfNrloHCmn

[वरुण 🇮🇳 @varungrover]

Jai Shri Ram. BJP loses Ayodhya/Faizabad seat. Divine justice.

[Santiago @svpino]

This book is gold!

Everything you need to understand about Transformers, Large Language Models, and Generative AI is here.

You'll learn to fine-tune and deploy models, build RAG systems, and understand vision transformers.

And lots of code!

https://t.co/0jxLsZTh4g

[Santiago @svpino]

Here is a 2-day LLM summit for people who want to learn about LLM development and deployment.

April 9 and 10.
Attendance is virtual.

There will be panel discussions, hands-on workshops, and Q&A sessions.

Here are some of the topics that will be covered:

• How to choose the right LLM model to solve your business problem.
• How to ensure model performance, transparency, oversight, and trust?
• Should you buy or build a model for your problem?
• What are the latest techniques available for training LLMs?
• How to leverage custom LLMs with your data?

You can register at the link below:

https://t.co/iwvaI3DIna

Use the code LLM425 for a 25% off!

[Python Coding @clcoding]

Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling

https://t.co/lhIsYXkd9W

[Santiago @svpino]

Here are 50 algorithms every programmer should know:

Let's start with my top favorite 10. If nothing else, you should read about these algorithms and have a good idea of how they work:

1. Linear search to find an element in a list
2. Binary search to find an element on a sorted list
3. Bubble sort to sort a list
4. Merge sort will also sort lists
5. Quicksort to sort the list and do it fast
6. Dijkstra to find the shortest path in a graph
7. Breadth-first Search (BFS) for trees or graphs
8. Depth-first search (DFS) for trees or graphs
9. Huffman for doing data compression
10. Anything related to dynamic programming

Learning about algorithms is like getting tattoos: you never have enough. Here are another 5 algorithms that will help you go beyond the basics:

11. Kruskal for the finding minimum spanning tree
12. Floyd Warshall, shortest paths in a graph
13. Union Find to detect cycles in a graph
14. Bellman-Ford, shortest path in a graph
15. Lee for finding the shortest path in a maze

If you are serious about this topic, I recommend learning about algorithms' space and time complexity. People usually refer to this topic as "Big O" notation. You should build a good intuition about the performance of different algorithms and learn how to evaluate them.

Machine Learning will rule the next 50 years, so the next 10 algorithms you can't ignore are the following:

16. Linear Regression
17. Logistic Regression
18. Decision Trees
19. Bayes' theorem
20. k-Nearest Neighbors (kNN)
21. Every algorithm related to neural networks
22. K-means
23. Random forest
24. Gradient boosting algorithms
25. Any dimensionality reduction algorithm (PCA, for instance)

There are many more mind-blowing algorithms! I haven't found a better way to understand how computers work from a first-principles point of view than reading about different algorithms.

I only mentioned 25 algorithms here, so here is a book if you want to learn a bit more:

https://t.co/M4nd2p3Gbq

[Kirk Borne @KirkDBorne]

"Streamlit for #DataScience" (Second Edition) Step-by-step guide to building interactive data apps in #Python: https://t.co/2XXoXuzDqG by @tylerjrichards @streamlit via @PacktPublishing
——————
#Coding #DataScientists #MachineLearning #AI #DataViz #BigData #Analytics

[Santiago @svpino]

This is one of the books I recommend to my students at https://t.co/iZifcK7n47:

Machine Learning Engineering with Python.

I like the book for three reasons:

1. It's full of practical examples. This is not a theoretical book. Its main goal is to teach you how to accomplish things.

2. It doesn't focus on a specific tool. The book gives you an overview of many ways to accomplish what you need using open-source and proprietary tools.

3. The book is a great companion for my "Building Machine Learning Systems" program.

Recommended: https://t.co/XAXuAzeLjw

[Data Science Dojo @DataScienceDojo]

#ConferenceAlert: Data Science Dojo has partnered with @PacktPublishing! Along with many other AI experts, our CEO and founder, @Z_Score will be speaking at the conference on how enterprise LLM applications are not just a technological challenge but also s UX design, human behavior, ethical, social, legal, and cultural challenge as well.

Join us on October 11-13 and put the power of Generative AI to work with hands-on tech sessions, captivating talks, and direct interactions with industry experts—3 action-packed days, all from the comfort of your home or workplace.

Why should you attend?
🔥 Connect with 20+ top AI experts.
🎤 Explore 25+ tech sessions and workshops.
🎯 Engage, share your expertise, and learn from the best minds in the field.

Use the code BIGSAVE40 at the checkout to avail 40% OFF your tickets: https://t.co/4hHFpo8iGd

#llm #largelanguagemodels #generativeai #llmbootcamp #llmdojo

[Yuri Diogenes @yuridiogenes]

Spring sales of our Cybersecurity book!

https://t.co/e904PWWVYz

@Erdal_Ozkaya

[Packt Publishing @PacktPublishing]

Spring into a #newcareer with some of our best hand-picked books to help you take the next step in your career and learn #newskills.

Get up to 25% off before 29th March exclusively on Amazon (US).

Shop now at https://t.co/fSUNoEqRNZ.

#PacktSpringSale

[Shail Bhatnagar @shail_bhatnagar]

Ladies and Gentlemen, this kid -- Nirvaan -- requires your love and your generosity. I have done my bit. If you could do yours ---

https://t.co/K4YRxoZu9G

https://t.co/GcELgHBZvy

[Abira Dhar @AbiraDhar]

PLEASE HELP: At 14 months Nirvaan got diagnosed with a rare genetic disorder (SMA) type 2. There is a medicine that can help him but it is it the most expensive drug in the world, costing $2.1 million dollars nearly
17.3 CRORE RUPEES https://t.co/fNof94yURm

[Neha Dhupia @NehaDhupia]

Pls help little baby Nirvaan ♥️