MATLAB Coding | matlabcoding.com
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Everything Free. BOOKS, MATLAB PROGRAMS, CODES and Study Materials. Also Questions and Answers. For older/archived post visit matlabcoding.com Books - https://amzn.to/3PnfYnN Reach us - info.matlabcoding@gmail.com
显示更多📈 Telegram 频道 MATLAB Coding | matlabcoding.com 的分析概览
频道 MATLAB Coding | matlabcoding.com (@matlabcastor) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 10 743 名订阅者，在 教育 类别中位列第 18 782，并在 印度 地区排名第 35 173 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 10 743 名订阅者。
根据 11 十一月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 10，过去 24 小时变化为 2，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 16.78%。内容发布后 24 小时内通常能获得 3.48% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 1 803 次浏览，首日通常累积 374 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 6。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Everything Free. BOOKS, MATLAB PROGRAMS, CODES and Study Materials. Also Questions and Answers. For older/archived post visit matlabcoding.com
Books - https://amzn.to/3PnfYnN
Reach us - info.matlabcoding@gmail.com”
凭借高频更新（最新数据采集于 12 十一月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 教育 类别中的关键影响点。
10 743
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+224 小时
+57 天
+1030 天
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频道帖子
Repost from Python Coding (CLCODING)
Python for AI Bootcamp 2026 – Day 4 is LIVE!
We're moving forward on our journey to learn Python and explore Artificial Intelligence!
Join Day 4 of the CLCODING Python for AI Bootcamp and keep building the skills needed to work with modern AI technologies.
📺 Watch Day 4 LIVE on YouTube:
https://youtube.com/live/XdtfXs2jtns?feature=share
Learn. Code. Build. Grow.
Share this session with aspiring Python developers and AI enthusiasts!
| 2 |  AI DOES NOT FIX BAD DATA.
It just makes the output faster, shinier, and more autonomous.
Look at what happens when you feed bad data into different AI systems:
🔹 Machine Learning → Learns patterns from bad data.
🔹 Artificial Intelligence → Makes decisions based on bad inputs.
🔹 Generative AI → Generates convincing outputs from bad information.
🔹 Agentic AI → Autonomously executes tasks using bad information.
The technology gets more advanced, but the underlying problem remains the same.
Garbage In, Garbage Out.
Even the most powerful AI model cannot magically turn unreliable data into reliable intelligence.
Before investing in bigger models, smarter agents, or complex AI pipelines, invest in clean data, validation, reliable pipelines, and proper evaluation.
📚 Want to learn AI? Start here:
AI Fundamentals for Beginners – Learn LLMs
https://www.clcoding.com/2026/04/ai-fundamentals-for-beginners-learn-llm.html | 426 |
| 3 |  Life of a Data Analyst!
Every Data Analyst knows this journey!
1️⃣ Excited about a new project
2️⃣ Wait... where is the data?
3️⃣ This data makes no sense.
4️⃣ Everything is broken!
5️⃣ Maybe it's not that bad.
6️⃣ I see a pattern.
7️⃣ They will love my insights!
8️⃣ Nobody read my report.
Behind every beautiful dashboard is a lot of data cleaning, debugging, SQL queries, Python scripts, and patience!
Want to become a Data Analyst? 🚀
Recommended Course: Google Data Analytics Professional Certificate
Learn data cleaning, SQL, spreadsheets, data visualization, R programming, and real-world analytics.
🔗 https://www.clcoding.com/2025/04/google-data-analytics-professional.html | 658 |
| 4 |  Free Logic & Mathematics Textbook!
Want to understand the foundations of logic, sets, and computation?
Explore Sets, Logic, Computation: An Open Introduction to Metalogic from the Open Logic Project.
This open-access textbook is a valuable resource for students, researchers, mathematicians, and computer science enthusiasts.
Topics covered:
Set Theory and Mathematical Foundations
Propositional Logic
Predicate Logic
Formal Systems
Computability and Computation
Metalogic and Mathematical Reasoning
Who should read it?
Computer Science Students
Mathematics Students
Logic and Philosophy Enthusiasts
AI and Theoretical Computer Science Learners
Get the Free PDF: https://www.clcoding.com/2026/09/sets-logic-computation-open.html | 725 |
| 5 |  Git Workflow Explained!
Understanding Git becomes much easier when you know how code moves between these four areas:
https://www.facebook.com/share/p/19zSfwpmEE/ | 964 |
| 6 |  If you could choose only ONE tech ecosystem for the next 5 years, which would it be?
Apple — Premium design, seamless ecosystem, and powerful performance.
Samsung — Customization, flexibility, and a wide range of devices.
Google — Smart AI features, Android freedom, and connected services.
But here's the real question…
Which ecosystem gives you the BEST value for your money?
Apple, Samsung, or Google?
Drop your choice in the comments and tell us WHY you would choose it!
Let's see which tech giant wins this debate.
Official Community: https://whatsapp.com/channel/0029Vb7XPJyFcowArg0Zy544 | 1 838 |
| 7 |  📚 Introduction to Theoretical Computer Science (Free PDF)
Explore the foundations of theoretical computer science, including algorithms, computation, logic, and mathematical concepts.
📖 Topics Covered:
✅ Algorithms & Complexity
✅ Formal Languages & Automata
✅ Turing Machines
✅ Computability & Decidability
✅ P vs NP
✅ Mathematical Proofs
Download Free PDF: https://www.clcoding.com/2026/08/introduction-to-theoretical-computer.html | 1 189 |
| 8 |  📘 Elementary Probability for Applications — Free PDF
Want to understand probability and its real-world applications? 🎲
📚 163 Pages | Free PDF
✅ Learn Probability Fundamentals
✅ Explore Practical Applications
✅ Useful for Data Science & Machine Learning
Download Free PDF Book: https://www.clcoding.com/2026/07/elementary-probability-for-applications.html | 1 311 |
| 9 |  Happy Programmer’s Day!
Everyone wants to become a programmer…
but not everyone wants to spend hours actually coding!
Some come for the Coding Memes,
some come for the Coding.
But whether you write 100 lines of code or spend 2 hours fixing one missing bracket — today is your day!
Happy Programmer’s Day to all the coders, developers, students, and tech enthusiasts!
Keep coding. Keep learning. Keep debugging.
@pythonclcoding | 1 538 |
| 10 | Python BootCamp Group
https://chat.whatsapp.com/LPxRJGoCr3hIFCu2nrBmHE?s=cl&p=i&mlu=4&ilr=4 | 1 859 |
| 11 | t.me/matlabcastor?direct | 1 805 |
| 12 |  📘 Probability and Statistics for Computer Scientists — Free PDF
A practical resource for learning the fundamentals of probability and statistics with applications relevant to computer science.
📄 264 pages
If you're learning Data Science, Machine Learning, AI, or Computer Science, probability and statistics are essential foundations.
Read / Get the Free PDF:
https://www.clcoding.com/2026/09/probability-and-statistics-for-computer.html | 2 024 |
| 13 |  Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures (Free PDF)
PDF: https://www.clcoding.com/2026/07/fundamentals-of-data-visualization.html | 1 773 |
| 14 |  🚀 Learn Git and GitHub in One Day!
Want to stop worrying about losing code, collaborate with other developers, and manage your projects like a professional?
This Learn Git and GitHub in One Day resource covers the essentials you need to get started:
✅ Git basics and version control
✅ Initialize, stage, commit & track changes
✅ Branching and merging
✅ GitHub repositories
✅ Push projects online
✅ Pull requests & collaboration
✅ Open-source workflow
✅ Build a professional developer portfolio
Whether you're a beginner, student, or developer, Git and GitHub are essential skills for modern software development.
📚 Learn Git and GitHub in One Day:
https://www.clcoding.com/2025/10/learn-git-and-github-in-one-day.html | 1 912 |
| 15 | Matlab/Simulink Modeling of SiC Power MOSFETs | 2 298 |
| 16 |  Statistical Divergences between Densities of Truncated Exponential Families with Nested Supports: Duo Bregman and Duo Jensen Divergences (Free PDF)
Download the Free PDF: https://www.clcoding.com/2026/08/statistical-divergences-between.html | 1 987 |
| 17 |  Machine Learning Projects — Free PDF
📘 Machine Learning Projects (Free PDF)
Looking for practical machine learning projects to strengthen your skills? This 135-page free PDF is a useful resource for students, beginners, and aspiring machine learning developers who want to learn by working on real-world project ideas.
🚀 What you’ll find:
Machine Learning project ideas
Python-based ML projects
Practical implementation concepts
Machine learning techniques and workflows
Projects for hands-on practice
Useful resource for students and learners
Pages: 135
Price: Free PDF
👉 Read or download the free PDF here:
https://www.clcoding.com/2026/08/machine-learning-projects-free-pdf.html | 1 776 |
| 18 |  +1📘 Advanced Statistics from an Elementary Point of View — Free PDF*
📖 Author: Michael J. Panik
📄 Pages: 905
📚 Topics: Probability, descriptive statistics, distributions, sampling, estimation, hypothesis testing, nonparametric statistics, regression, and correlation.
Free PDF: https://www.clcoding.com/2026/07/advanced-statistics-from-elementary.html | 1 975 |
| 19 |  Understanding Statistics and Experimental Design: How to Not Lie with Statistics — Free Book
Read the full post and access the book
https://www.clcoding.com/2026/08/understanding-statistics-and.html
📘 Pages: 142
A useful resource for students, researchers, data scientists, and anyone who wants to understand statistics and experimental design more effectively.
The book focuses on statistical thinking, experimental design, interpreting data, and avoiding common ways statistics can be misleading.
If you're learning Data Science, Machine Learning, Research Methodology, or Statistics, this can be a valuable addition to your learning resources. | 2 028 |
| 20 |  97 Things Every Programmer Should Know: Collective Wisdom from the Experts — Free PDF
A great resource for programmers looking for practical advice, lessons, and wisdom from experienced software developers.
📖 97 Things Every Programmer Should Know
💡 Collective wisdom from programming experts
📄 Free PDF
🔗 Download: https://www.clcoding.com/2026/08/97-things-every-programmer-should-know.html | 2 593 |
