Machine Learning

Forwarded from Python | Machine Learning | Coding | R

✅ Free ML Books You Should Know!

1⃣ Dive into Deep Learning: https://d2l.ai

🔢 Deep Learning: https://deeplearningbook.org

🔢 Interpretable Machine Learning: https://christophm.github.io/interpretable-ml-book/

🔢 Machine Learning Yearning: https://info.deeplearning.ai/machine-learning-yearning-book

🔢 Mathematics for Machine Learning: https://mml-book.github.io

🔢 An Introduction to Statistical Learning: https://statlearning.com

Please open Telegram to view this post

VIEW IN TELEGRAM

👍6🔥5

3.76K views13:35

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

🗂

10 “Real Data Science Portfolio” Examples

1️⃣

Ken Jee Portfolio | Data Scientist

▶️

Field: Sports data analysis

👤

Link: Portfolio

2️⃣

Yassine Alouini's Portfolio | Kegel Master

▶️

Domain: Machine Learning and Kegel Competitions

👤

Link: Portfolio

3️⃣

Tatman Portfolio | Data Scientist

▶️

Domain: Natural Language Processing (NLP)

👤

Link: Portfolio

4️⃣

Robinson Portfolio | Data Scientist

▶️

Field: Statistical analysis and R programming

👤

Link: Portfolio

5️⃣

Siraj Raval's Portfolio | AI Instructor

▶️

Field: Machine Learning and Artificial Intelligence

👤

Link: Portfolio

6️⃣

Julia Silge's Portfolio | Data Scientist

▶️

Domain: Organized data and data visualization

👤

Link: Portfolio

7️⃣

Mueller Portfolio | Developer Scikit-Learn

▶️

Field: Machine learning and open source projects

👤

Link: Portfolio

8️⃣

Wickham Portfolio | Data Scientist

▶️

Area: R programming and data visualization

👤

Link: Portfolio

9️⃣

Portfolio of François Puget | Kegel Master

▶️

Domain: Advanced Machine Learning Techniques

👤

Link: Portfolio

🔟

Emily's Portfolio | Data Analyst at Disney

▶️

Domain: Data visualization and storytelling

👤

Link: Portfolio

Please open Telegram to view this post

VIEW IN TELEGRAM

👍7❤1

3.96K views08:59

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

Machine Learning Glossary

Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.

Link: https://ml-cheatsheet.readthedocs.io/en/latest/index.html

👍6

4.78K views13:04

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

1:09:25

Media is too big

VIEW IN TELEGRAM

🔥

MIT has updated its famous course 6.S191: Introduction to Deep Learning.

.

All slides, #code and additional materials can be found at the link provided.

📌 Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew

Please open Telegram to view this post

VIEW IN TELEGRAM

👍10

4.79K views02:31

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

Numpy @CodeProgrammer.pdf

813.2 KB

🏳️‍🌈 "NumPy Library" Tutorial

👨🏻‍💻 For the past few days, I've been busy preparing this comprehensive tutorial on the NumPy library for data science, trying to cover all the tips and tricks of this library.

✅

Why is this booklet different? Because it is not written based on just theoretical concepts, but is the result of my own experiences and learning. It has real and practical examples that will help you better understand #NumPy concepts and use them in your projects.💯

Please open Telegram to view this post

VIEW IN TELEGRAM

👍9🔥4❤2

4.16K views18:00

Machine Learning

👩‍💻 Prompt Engineering: A Practical Example

This real-world project tutorial covers zero-shot and few-shot prompting, delimiters, numbered steps, role prompts, chain-of-thought prompting, and more. Improve your LLM-assisted projects today.

Link: https://realpython.com/practical-prompt-engineering/

Please open Telegram to view this post

VIEW IN TELEGRAM

👍6

5.21K viewsedited 11:12

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

🔖 The book that paved the way for me to "data science"!

👨🏻‍💻 "Where do I start now?" This was the first and biggest question I faced when I started my Data Science learning journey!

⏪ I was really overwhelmed by the large number of scattered sources, long courses, and specialized books full of heavy terminology. I didn't know how to start and move forward in this direction...

✔️ But the book Intro to Data Science with Python changed everything for me and gave me a new perspective!

✏️ This book is a complete guide to starting from scratch and is great for both beginners and professionals in this field!! From coding with Python to working with data, visualization, and even AI tools, it explains everything in the simplest and most practical way possible.

💸 A great start for anyone looking to learn data science with Python!👇

┌ 🏳️‍🌈 Intro to Data Science with Python
├ 📄 E-book
└ 🐱 GitHub-Repos

Please open Telegram to view this post

VIEW IN TELEGRAM

👍9❤1

5.27K views04:38

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

course lecture on building Transformers from first principles:
https://www.dropbox.com/scl/fi/jhfgy8dnnvy5qq385tnms/lectureattentionneuralnetworks.pdf?rlkey=fddnkonsez76mf8bzider3hrv&dl=0

The #PyTorch notebooks also demonstrate how to implement #Transformers from scratch:
https://github.com/xbresson/CS52422025/tree/main/labslecture07

Please open Telegram to view this post

VIEW IN TELEGRAM

Please open Telegram to view this post

VIEW IN TELEGRAM

👍8

4.89K views21:09

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

Pandas Introduction to Advanced.pdf

854.8 KB

📄

"Pandas Introduction to Advanced" booklet

👨🏻‍💻 You can't attend a #datascience interview and not be asked about Pandas! But you don't have to memorize all its methods and functions! With this booklet, you'll learn everything you need.

✔️ One of the most useful and interesting combinations is using #Pandas with #AWS Lambda, which can be very useful in real projects.

Please open Telegram to view this post

VIEW IN TELEGRAM

👍13

4.64K views20:09

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

Please open Telegram to view this post

VIEW IN TELEGRAM

👍8

4.17K views08:19

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

Exercises in Machine Learning

This book contains 75+ exercises

Download, read, and practice:
arxiv.org/pdf/2206.13446

GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises

👍9

3.27K views01:00

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

Linear Algebra

The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & Machine Learning.

Completely FREE.

Download it: https://www.cs.ox.ac.uk/files/12921/book.pdf

Please open Telegram to view this post

VIEW IN TELEGRAM

Please open Telegram to view this post

VIEW IN TELEGRAM

👍4❤2

3.09K views05:44

Machine Learning

#MachineLearning Systems — Principles and Practices of Engineering Artificially Intelligent Systems: https://mlsysbook.ai/

open-source textbook focuses on how to design and implement AI systems effectively

Please open Telegram to view this post

VIEW IN TELEGRAM

❤5👍3

9.56K viewsedited 06:47

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

🔗 Machine Learning from Scratch by Danny Friedman

https://dafriedman97.github.io/mlbook/content/introduction.html

Please open Telegram to view this post

VIEW IN TELEGRAM

👍4❤2

3.76K views05:29

Machine Learning

Forwarded from Python | Machine Learning | Coding | R

"Introduction to Probability for Data Science"

One of the best books on #Probability. Available FREE.

Download the book:
probability4datascience.com/download.html

Please open Telegram to view this post

VIEW IN TELEGRAM

Please open Telegram to view this post

VIEW IN TELEGRAM

👍7❤2

4.19K views20:50

Machine Learning

Python Commands for Data Cleaning

#Python #DataCleaning #DataAnalytics #DataScientists #MachineLearning #ArtificialIntelligence #DataAnalysis

https://t.iss.one/DataScienceM

⭐

Please open Telegram to view this post

VIEW IN TELEGRAM

❤2

2.85K viewsedited 08:26

Machine Learning

🤖🧠 Wren AI: Transforming Business Intelligence with Generative AI

🗓️ 28 Oct 2025
📚 AI News & Trends

In the evolving world of data and analytics, one thing is certain — the ability to transform raw data into actionable insights defines success. Organizations today are generating more data than ever before, yet accessing and understanding that data remains a significant challenge. Traditional business intelligence tools require technical expertise, SQL knowledge and manual configuration. ...

#WrenAI #GenerativeAI #BusinessIntelligence #DataAnalytics #AI #Insights

636 views01:16

📖 Read More

📣 BEST TELEGRAM CHANNELS

Machine Learning

📌 What Building My First Dashboard Taught Me About Data Storytelling

🗂 Category: DATA SCIENCE

🕒 Date: 2025-11-04 | ⏱️ Read time: 7 min read

The experience of building a first data dashboard offers a powerful lesson in data storytelling. The key takeaway is that prioritizing clarity over complexity is crucial for turning raw data into a compelling and understandable narrative. Effective dashboards don't just display metrics; they communicate insights by focusing on a clear story, ensuring the audience can easily grasp and act upon the information presented.

#DataStorytelling #DataVisualization #DashboardDesign #DataAnalytics

❤1

547 views08:47

📖 Read and Learn

🧪 Explore Data Science

Machine Learning

📌 Data Culture Is the Symptom, Not the Solution

🗂 Category: DATA SCIENCE

🕒 Date: 2025-11-10 | ⏱️ Read time: 22 min read

Your data investments are failing, and the common advice to "build a better data culture" might be wrong. This article posits that a flawed data culture is not the root cause but a symptom of a more fundamental, often overlooked issue. To achieve real ROI from data initiatives, organizations must look beyond cultural fixes and address the hidden problems that truly undermine success.

#DataCulture #DataStrategy #DataAnalytics #DataROI

884 views18:28

📖 Read and Learn

🧪 Explore Data Science

Machine Learning

📌 Struggling with Data Science? 5 Common Beginner Mistakes

🗂 Category: DATA SCIENCE

🕒 Date: 2025-11-24 | ⏱️ Read time: 6 min read

New to data science? Accelerate your career growth by steering clear of common beginner pitfalls. The journey into data science is challenging, but understanding and avoiding five frequent mistakes can significantly streamline your learning curve and set you on a faster path to success. This guide highlights the key errors to watch out for as you build your skills and advance in the field.

#DataScience #MachineLearning #CareerAdvice #DataAnalytics

❤1

455 views02:41

📖 Read and Learn

🧪 Explore Data Science

About

Blog

Apps

Platform