Searched 35 free courses, so you don't have to! ๐โจ
Here are the 35 best free courses: ๐
1. Data Science: Machine Learning ๐ค
Link: https://lnkd.in/gUNVYgGB
2. Introduction to computer science ๐ป
Link: https://lnkd.in/gR66-htH
3. Introduction to programming with scratch ๐งฉ
Link: https://lnkd.in/gBDUf_Wx
4. Computer science for business professionals ๐ผ
Link: https://lnkd.in/g8gQ6N-H
5. How to conduct and write a literature review ๐
Link: https://lnkd.in/gsh63GET
6. Software Construction ๐
Link: https://lnkd.in/ghtwpNFJ
7. Machine Learning with Python: from linear models to deep learning ๐๐ง
Link: https://lnkd.in/g_T7tAdm
8. Startup Success: How to launch a technology company in 6 steps ๐
Link: https://lnkd.in/gN3-_Utz
9. Data analysis: statistical modeling and computation in applications ๐
Link: https://lnkd.in/gCeihcZN
10. The art and science of searching in systematic reviews ๐
Link: https://lnkd.in/giFW5q4y
11. Introduction to conducting systematic review ๐
Link: https://lnkd.in/g6EEgCkW
12. Introduction to computer science and programming using python ๐ฅ
Link: https://lnkd.in/gwhMpWck
13. Introduction to computational thinking and data science ๐ก
Link: https://lnkd.in/gfjuDp5y
14. Becoming an Entrepreneur ๐ธ
Link: https://lnkd.in/gqkYmVAW
15. High-dimensional data analysis ๐
Link: https://lnkd.in/gv9RV9Zc
16. Statistics and R ๐
Link: https://lnkd.in/gUY3jd8v
17. Conduct a literature review ๐
Link: https://lnkd.in/g4au3w2j
18. Systematic Literature Review: An Introduction ๐ง
Link: https://lnkd.in/gVwGAzzY
19. Introduction to systematic review and meta-analysis ๐งฎ
Link: https://lnkd.in/gnpN9ivf
20. Creating a systematic literature review โ๏ธ
Link: https://lnkd.in/gbevCuy6
21. Systematic reviews and meta-analysis ๐
Link: https://lnkd.in/ggnNeX5j
22. Research methodologies ๐ต๏ธโโ๏ธ
Link: https://lnkd.in/gqh3VKCC
23. Quantitative and Qualitative research for beginners ๐๐ฌ
Link: https://shorturl.at/uNT58
24. Writing case studies: science of delivery ๐
Link: https://shorturl.at/ejnMY
25. research methodology: complete research project blueprint ๐บ
Link: https://lnkd.in/gFU8Nbrv
26. How to write a successful research paper ๐
Link: https://lnkd.in/g-ni3u5q
27. Research proposal bootcamp: how to write a research proposal ๐โโ๏ธ
Link: https://lnkd.in/gNRitBwX
28. Understanding technology ๐ฑ
Link: https://lnkd.in/gfjUnHfd
29. Introduction to artificial intelligence with Python ๐ค๐
Link: https://lnkd.in/gygaeAcY
30. Introduction to programming with Python ๐ป
Link: https://lnkd.in/gAdyf6xR
31. Web programming with Python and JavaScript ๐
Link: https://lnkd.in/g_i5-SeG
32. Understanding Research methods ๐ฌ
Link: https://lnkd.in/g-xBFj4v
33. How to write and publish a scientific paper ๐ข
Link: https://lnkd.in/giwTe2is
34. Introduction to systematic review and meta-analysis ๐
Link: https://lnkd.in/gnpN9ivf
35. Research for impact ๐
Link: https://lnkd.in/gRsWsUsq
Here are the 35 best free courses: ๐
1. Data Science: Machine Learning ๐ค
Link: https://lnkd.in/gUNVYgGB
2. Introduction to computer science ๐ป
Link: https://lnkd.in/gR66-htH
3. Introduction to programming with scratch ๐งฉ
Link: https://lnkd.in/gBDUf_Wx
4. Computer science for business professionals ๐ผ
Link: https://lnkd.in/g8gQ6N-H
5. How to conduct and write a literature review ๐
Link: https://lnkd.in/gsh63GET
6. Software Construction ๐
Link: https://lnkd.in/ghtwpNFJ
7. Machine Learning with Python: from linear models to deep learning ๐๐ง
Link: https://lnkd.in/g_T7tAdm
8. Startup Success: How to launch a technology company in 6 steps ๐
Link: https://lnkd.in/gN3-_Utz
9. Data analysis: statistical modeling and computation in applications ๐
Link: https://lnkd.in/gCeihcZN
10. The art and science of searching in systematic reviews ๐
Link: https://lnkd.in/giFW5q4y
11. Introduction to conducting systematic review ๐
Link: https://lnkd.in/g6EEgCkW
12. Introduction to computer science and programming using python ๐ฅ
Link: https://lnkd.in/gwhMpWck
13. Introduction to computational thinking and data science ๐ก
Link: https://lnkd.in/gfjuDp5y
14. Becoming an Entrepreneur ๐ธ
Link: https://lnkd.in/gqkYmVAW
15. High-dimensional data analysis ๐
Link: https://lnkd.in/gv9RV9Zc
16. Statistics and R ๐
Link: https://lnkd.in/gUY3jd8v
17. Conduct a literature review ๐
Link: https://lnkd.in/g4au3w2j
18. Systematic Literature Review: An Introduction ๐ง
Link: https://lnkd.in/gVwGAzzY
19. Introduction to systematic review and meta-analysis ๐งฎ
Link: https://lnkd.in/gnpN9ivf
20. Creating a systematic literature review โ๏ธ
Link: https://lnkd.in/gbevCuy6
21. Systematic reviews and meta-analysis ๐
Link: https://lnkd.in/ggnNeX5j
22. Research methodologies ๐ต๏ธโโ๏ธ
Link: https://lnkd.in/gqh3VKCC
23. Quantitative and Qualitative research for beginners ๐๐ฌ
Link: https://shorturl.at/uNT58
24. Writing case studies: science of delivery ๐
Link: https://shorturl.at/ejnMY
25. research methodology: complete research project blueprint ๐บ
Link: https://lnkd.in/gFU8Nbrv
26. How to write a successful research paper ๐
Link: https://lnkd.in/g-ni3u5q
27. Research proposal bootcamp: how to write a research proposal ๐โโ๏ธ
Link: https://lnkd.in/gNRitBwX
28. Understanding technology ๐ฑ
Link: https://lnkd.in/gfjUnHfd
29. Introduction to artificial intelligence with Python ๐ค๐
Link: https://lnkd.in/gygaeAcY
30. Introduction to programming with Python ๐ป
Link: https://lnkd.in/gAdyf6xR
31. Web programming with Python and JavaScript ๐
Link: https://lnkd.in/g_i5-SeG
32. Understanding Research methods ๐ฌ
Link: https://lnkd.in/g-xBFj4v
33. How to write and publish a scientific paper ๐ข
Link: https://lnkd.in/giwTe2is
34. Introduction to systematic review and meta-analysis ๐
Link: https://lnkd.in/gnpN9ivf
35. Research for impact ๐
Link: https://lnkd.in/gRsWsUsq
โค5
PhD Students - Here are the 8 types of research gaps you must know.
1. ๐๐ง๐จ๐ฐ๐ฅ๐๐๐ ๐ ๐๐๐ฉ
โณ There is no or limited research on your topic.
2. ๐๐ฏ๐ข๐๐๐ง๐๐ ๐๐๐ฉ
โณ Your research contradicts existing research
3. ๐๐๐ญ๐ก๐จ๐๐จ๐ฅ๐จ๐ ๐ข๐๐๐ฅ ๐๐๐ฉ
โณ The existing research methods for your topic are insufficient.
4. ๐๐ฆ๐ฉ๐ข๐ซ๐ข๐๐๐ฅ ๐๐๐ฉ
โณ There is no or limited empirical data for your research topic.
5. ๐๐ซ๐๐๐ญ๐ข๐๐๐ฅ ๐๐ง๐จ๐ฐ๐ฅ๐๐๐ ๐ ๐๐๐ฉ
โณ There is a disconnect between theory and practice in your topic.
6. ๐๐ก๐๐จ๐ซ๐๐ญ๐ข๐๐๐ฅ ๐๐๐ฉ
โณ Theoretical explanation for your topic is inadequate.
7. ๐๐จ๐ฉ๐ฎ๐ฅ๐๐ญ๐ข๐จ๐ง ๐๐๐ฉ
โณ Population is not fully or correctly represented in existing research.
8. ๐๐๐ญ๐ ๐๐๐ฉ
โณ The existing data is insufficient to address the research question.
1. ๐๐ง๐จ๐ฐ๐ฅ๐๐๐ ๐ ๐๐๐ฉ
โณ There is no or limited research on your topic.
2. ๐๐ฏ๐ข๐๐๐ง๐๐ ๐๐๐ฉ
โณ Your research contradicts existing research
3. ๐๐๐ญ๐ก๐จ๐๐จ๐ฅ๐จ๐ ๐ข๐๐๐ฅ ๐๐๐ฉ
โณ The existing research methods for your topic are insufficient.
4. ๐๐ฆ๐ฉ๐ข๐ซ๐ข๐๐๐ฅ ๐๐๐ฉ
โณ There is no or limited empirical data for your research topic.
5. ๐๐ซ๐๐๐ญ๐ข๐๐๐ฅ ๐๐ง๐จ๐ฐ๐ฅ๐๐๐ ๐ ๐๐๐ฉ
โณ There is a disconnect between theory and practice in your topic.
6. ๐๐ก๐๐จ๐ซ๐๐ญ๐ข๐๐๐ฅ ๐๐๐ฉ
โณ Theoretical explanation for your topic is inadequate.
7. ๐๐จ๐ฉ๐ฎ๐ฅ๐๐ญ๐ข๐จ๐ง ๐๐๐ฉ
โณ Population is not fully or correctly represented in existing research.
8. ๐๐๐ญ๐ ๐๐๐ฉ
โณ The existing data is insufficient to address the research question.
โค3
๐ Article link: https://lnkd.in/gMjErJBX
In 2017, eight Google researchers published a paper with a bold title: "Attention Is All You Need."
They were right.
That single paper killed RNNs, LSTMs, and decades of sequential processing and gave us the architecture behind ChatGPT, Claude, Gemini, and every major LLM you use today.
Transformers solved two problems that had haunted NLP for years: they parallelize computation (making training massively faster) and they capture long-range dependencies (so the model can connect "the cat" at the start of a paragraph with "it" at the end).
๐ Time to open the black box. In this article, you'll learn:
๐ The full Transformer architecture - explained step by step
๐ Self-Attention: how a model decides which words matter to each other
๐ Multi-Head Attention: why one attention isn't enough
๐ Positional Encoding: how Transformers know word order without recurrence ๐ Stacked Attention Layers and the role of the Feedforward Layer
๐ The Encoder-Decoder design that started it all
๐ฝ Video walkthrough: building GPT from scratch
๐ก Interview angle: "Explain the Transformer architecture" is one of the most asked ML interview questions in 2026 , and one of the easiest to answer poorly. Most candidates can name the components. Few can explain why self-attention works, what role positional encoding plays, or how multi-head attention adds expressive power. Knowing the why behind each piece is what gets the offer.
https://t.me/CodeProgrammerโ
In 2017, eight Google researchers published a paper with a bold title: "Attention Is All You Need."
They were right.
That single paper killed RNNs, LSTMs, and decades of sequential processing and gave us the architecture behind ChatGPT, Claude, Gemini, and every major LLM you use today.
Transformers solved two problems that had haunted NLP for years: they parallelize computation (making training massively faster) and they capture long-range dependencies (so the model can connect "the cat" at the start of a paragraph with "it" at the end).
๐ Time to open the black box. In this article, you'll learn:
๐ The full Transformer architecture - explained step by step
๐ Self-Attention: how a model decides which words matter to each other
๐ Multi-Head Attention: why one attention isn't enough
๐ Positional Encoding: how Transformers know word order without recurrence ๐ Stacked Attention Layers and the role of the Feedforward Layer
๐ The Encoder-Decoder design that started it all
๐ฝ Video walkthrough: building GPT from scratch
๐ก Interview angle: "Explain the Transformer architecture" is one of the most asked ML interview questions in 2026 , and one of the easiest to answer poorly. Most candidates can name the components. Few can explain why self-attention works, what role positional encoding plays, or how multi-head attention adds expressive power. Knowing the why behind each piece is what gets the offer.
https://t.me/CodeProgrammer
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โค1
Forwarded from Machine Learning with Python
๐ก Level Up Your IT Career in 2026 โ For FREE
Areas covered: #Python #AI #Cisco #PMP #Fortinet #AWS #Azure #Excel #CompTIA #ITIL #Cloud + more
๐ Download each free resource here:
โข Free Courses (Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS)
๐https://bit.ly/4ejSFbz
โข IT Certs E-book
๐ https://bit.ly/42y8owh
โข IT Exams Skill Test
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๐ฒ Need exam help? Contact admin: wa.link/40f942
๐ฌ Join our study group (free tips & support): https://chat.whatsapp.com/K3n7OYEXgT1CHGylN6fM5a
Areas covered: #Python #AI #Cisco #PMP #Fortinet #AWS #Azure #Excel #CompTIA #ITIL #Cloud + more
๐ Download each free resource here:
โข Free Courses (Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS)
๐https://bit.ly/4ejSFbz
โข IT Certs E-book
๐ https://bit.ly/42y8owh
โข IT Exams Skill Test
๐ https://bit.ly/42kp7Dv
โข Free AI Materials & Support Tools
๐ https://bit.ly/3QEfWek
โข Free Cloud Study Guide
๐https://bit.ly/4u8Zb9r
๐ฒ Need exam help? Contact admin: wa.link/40f942
๐ฌ Join our study group (free tips & support): https://chat.whatsapp.com/K3n7OYEXgT1CHGylN6fM5a
โค1
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PhD Students - How to create a poster in seconds.
1. Go to https://lnkd.in/dUiMxgrq
2. Paste the abstract or upload your paper
3. At the top, click on portrait abstract
4. Your poster will be created
5. Download and edit it if needed
Anything you would like to add?
#phd #research
1. Go to https://lnkd.in/dUiMxgrq
2. Paste the abstract or upload your paper
3. At the top, click on portrait abstract
4. Your poster will be created
5. Download and edit it if needed
Anything you would like to add?
#phd #research
โค1๐1
Here are 10 research and writing tools with exactly when and why to use them:
โ ๐๐ง๐ฌ๐ฐ๐๐ซ๐๐ก๐ข๐ฌ - when you need cited literature reviews fast
โ ๐๐๐ฉ๐๐ซ๐ฉ๐๐ฅ - before submitting a manuscript for publication
โ ๐๐ก๐๐ฌ๐ข๐๐ฒ - when your thesis structure needs expert feedback
โ ๐๐ข๐ง๐๐ซ - for deep peer review and complex academic tasks
โ ๐๐๐ข๐๐ฉ๐๐๐ - for systematic reviews and chatting with PDFs
โ ๐๐๐ฌ๐๐๐ซ๐๐ก ๐๐๐๐๐ข๐ญ - when mapping literature from seed papers
โ ๐๐๐ฏ๐ข๐๐ฐ-๐ข๐ญ - for AI-powered review of any academic document
โ ๐๐ฅ๐จ๐๐๐ฅ ๐๐ญ๐ฎ๐๐ฒ ๐๐จ๐๐ - for accurate study abroad guidance
โ ๐๐๐๐ - for life-science and clinical development support
โ ๐๐จ๐ก๐ซ๐ข๐ฎ๐ฆ - free AI to find and analyze papers instantly
This is the cheat sheet I wish I had when I started
โ ๐๐ง๐ฌ๐ฐ๐๐ซ๐๐ก๐ข๐ฌ - when you need cited literature reviews fast
โ ๐๐๐ฉ๐๐ซ๐ฉ๐๐ฅ - before submitting a manuscript for publication
โ ๐๐ก๐๐ฌ๐ข๐๐ฒ - when your thesis structure needs expert feedback
โ ๐๐ข๐ง๐๐ซ - for deep peer review and complex academic tasks
โ ๐๐๐ข๐๐ฉ๐๐๐ - for systematic reviews and chatting with PDFs
โ ๐๐๐ฌ๐๐๐ซ๐๐ก ๐๐๐๐๐ข๐ญ - when mapping literature from seed papers
โ ๐๐๐ฏ๐ข๐๐ฐ-๐ข๐ญ - for AI-powered review of any academic document
โ ๐๐ฅ๐จ๐๐๐ฅ ๐๐ญ๐ฎ๐๐ฒ ๐๐จ๐๐ - for accurate study abroad guidance
โ ๐๐๐๐ - for life-science and clinical development support
โ ๐๐จ๐ก๐ซ๐ข๐ฎ๐ฆ - free AI to find and analyze papers instantly
This is the cheat sheet I wish I had when I started
โค5
How to defend your PhD thesis - Things to remember
Here are key questions you might face, organised by sections:
๐๐ง๐ญ๐ซ๐จ๐๐ฎ๐๐ญ๐ข๐จ๐ง:
โข What motivated you to do this research?
โข What is your main contribution to knowledge?
โข How does your contribution connect to your research goals?
๐๐ข๐ญ๐๐ซ๐๐ญ๐ฎ๐ซ๐ ๐๐๐ฏ๐ข๐๐ฐ:
โข How did you select or exclude sources?
โข What gaps or challenges exist in the literature?
โข How did you address these gaps?
๐๐๐ญ๐ก๐จ๐๐จ๐ฅ๐จ๐ ๐ฒ:
โข What is your understanding of relevant research methods?
โข What other methods did you consider but not use, and why?
โข Why is your chosen method appropriate for this research?
โข How did you develop your research design?
๐๐ฆ๐ฉ๐๐๐ญ & ๐๐ข๐ฆ๐ข๐ญ๐๐ญ๐ข๐จ๐ง๐ฌ:
โข Who benefits most from your research?
โข What are the main limitations?
โข How do these limitations affect your claims to knowledge?
โข How could you do things differently if starting again?
๐๐จ๐ง๐ฎ๐ฌ ๐๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง:
โข Did you achieve your objectives?
โข Did you answer your main research question?
โข What would you do differently (Novelty)?
#phd
Here are key questions you might face, organised by sections:
๐๐ง๐ญ๐ซ๐จ๐๐ฎ๐๐ญ๐ข๐จ๐ง:
โข What motivated you to do this research?
โข What is your main contribution to knowledge?
โข How does your contribution connect to your research goals?
๐๐ข๐ญ๐๐ซ๐๐ญ๐ฎ๐ซ๐ ๐๐๐ฏ๐ข๐๐ฐ:
โข How did you select or exclude sources?
โข What gaps or challenges exist in the literature?
โข How did you address these gaps?
๐๐๐ญ๐ก๐จ๐๐จ๐ฅ๐จ๐ ๐ฒ:
โข What is your understanding of relevant research methods?
โข What other methods did you consider but not use, and why?
โข Why is your chosen method appropriate for this research?
โข How did you develop your research design?
๐๐ฆ๐ฉ๐๐๐ญ & ๐๐ข๐ฆ๐ข๐ญ๐๐ญ๐ข๐จ๐ง๐ฌ:
โข Who benefits most from your research?
โข What are the main limitations?
โข How do these limitations affect your claims to knowledge?
โข How could you do things differently if starting again?
๐๐จ๐ง๐ฎ๐ฌ ๐๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง:
โข Did you achieve your objectives?
โข Did you answer your main research question?
โข What would you do differently (Novelty)?
#phd
โค6๐1
10 FREE Resources for Writing a PhD Thesis
๐ญ. ๐ข๐ฝ๐ฒ๐ป ๐๐ฐ๐ฐ๐ฒ๐๐ ๐ง๐ต๐ฒ๐๐ฒ๐ ๐ฎ๐ป๐ฑ ๐๐ถ๐๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป๐ (๐ข๐๐ง๐)
โณ A global database of open-access graduate theses & dissertations
https://oatd.org
๐ฎ. ๐๐ฒ๐๐๐ฒ๐ฟ ๐ง๐ต๐ฒ๐๐ถ๐
โณ A practical guide that helps you structure and organize your thesis effectively.
http://betterthesis.dk
๐ฏ. ๐๐ฎ๐ง๐ฒ๐ซ ๐ง๐ต๐ฒ๐๐ถ๐ ๐ง๐ฒ๐บ๐ฝ๐น๐ฎ๐๐ฒ๐ (๐ข๐๐ฒ๐ฟ๐น๐ฒ๐ฎ๐ณ)
โณ Free, ready-to-use LaTeX templates for formatting your thesis
https://lnkd.in/dZZiPxP6
๐ฐ. ๐ง๐ต๐ฒ ๐ฃ๐ต๐ ๐๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐๐ฎ๐๐ฒ (๐ง๐ต๐ฒ ๐ฃ๐ต๐ ๐ฃ๐ฒ๐ผ๐ฝ๐น๐ฒ)
โณ Structured articles, guides, and resources for every stage of the PhD journey.
https://lnkd.in/dN4rtNcx
๐ฑ. ๐๐ฐ๐ฎ๐ฑ๐ฒ๐บ๐ถ๐ฐ ๐ฃ๐ต๐ฟ๐ฎ๐๐ฒ๐ฏ๐ฎ๐ป๐ธ (๐จ๐ป๐ถ๐๐ฒ๐ฟ๐๐ถ๐๐ ๐ผ๐ณ ๐ ๐ฎ๐ป๐ฐ๐ต๐ฒ๐๐๐ฒ๐ฟ)
โณ A collection of academic phrases to structure arguments and improve clarity.
https://lnkd.in/dd_WPYq2
๐ฒ. ๐ฃ๐๐ฟ๐ฑ๐๐ฒ ๐ข๐ช๐ (๐ง๐ต๐ฒ๐๐ถ๐ & ๐๐ถ๐๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป ๐ช๐ฟ๐ถ๐๐ถ๐ป๐ด)
โณ Comprehensive graduate writing support covering structure, style, and citations.
https://lnkd.in/dgWH2azB
๐ณ. ๐ ๐๐ง ๐ข๐ฝ๐ฒ๐ป๐๐ผ๐๐ฟ๐๐ฒ๐ช๐ฎ๐ฟ๐ฒ (๐ง๐ต๐ฒ๐๐ถ๐ ๐ช๐ฟ๐ถ๐๐ถ๐ป๐ด ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐)
โณ Free MIT guides, templates, and resources on academic writing.
https://lnkd.in/dKuqvbYs
๐ด. ๐ฃ๐ต๐ ๐ง๐ผ๐ผ๐น๐ธ๐ถ๐ (๐๐ง๐ต๐ถ๐ป๐ธ๐ช๐ฒ๐น๐น)
โณ Free planning tools and templates to help manage your PhD project.
https://lnkd.in/dapEZt9B
๐ต. ๐๐ฒ๐บ๐ถ๐ป๐ด๐๐ฎ๐ ๐๐ฑ๐ถ๐๐ผ๐ฟ
โณ A free tool that checks readability, clarity, and sentence structure.
https://hemingwayapp.com
๐ญ๐ฌ. ๐ฃ๐ฎ๐ฝ๐ฒ๐ฟ๐ฝ๐ฎ๐น ๐ฃ๐น๐ฎ๐ด๐ถ๐ฎ๐ฟ๐ถ๐๐บ ๐๐ต๐ฒ๐ฐ๐ธ๐ฒ๐ฟ
โณ Check up to 7,000 words every month for free against research papers & web sources.
https://bit.ly/3ZriVHI
๐ญ. ๐ข๐ฝ๐ฒ๐ป ๐๐ฐ๐ฐ๐ฒ๐๐ ๐ง๐ต๐ฒ๐๐ฒ๐ ๐ฎ๐ป๐ฑ ๐๐ถ๐๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป๐ (๐ข๐๐ง๐)
โณ A global database of open-access graduate theses & dissertations
https://oatd.org
๐ฎ. ๐๐ฒ๐๐๐ฒ๐ฟ ๐ง๐ต๐ฒ๐๐ถ๐
โณ A practical guide that helps you structure and organize your thesis effectively.
http://betterthesis.dk
๐ฏ. ๐๐ฎ๐ง๐ฒ๐ซ ๐ง๐ต๐ฒ๐๐ถ๐ ๐ง๐ฒ๐บ๐ฝ๐น๐ฎ๐๐ฒ๐ (๐ข๐๐ฒ๐ฟ๐น๐ฒ๐ฎ๐ณ)
โณ Free, ready-to-use LaTeX templates for formatting your thesis
https://lnkd.in/dZZiPxP6
๐ฐ. ๐ง๐ต๐ฒ ๐ฃ๐ต๐ ๐๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐๐ฎ๐๐ฒ (๐ง๐ต๐ฒ ๐ฃ๐ต๐ ๐ฃ๐ฒ๐ผ๐ฝ๐น๐ฒ)
โณ Structured articles, guides, and resources for every stage of the PhD journey.
https://lnkd.in/dN4rtNcx
๐ฑ. ๐๐ฐ๐ฎ๐ฑ๐ฒ๐บ๐ถ๐ฐ ๐ฃ๐ต๐ฟ๐ฎ๐๐ฒ๐ฏ๐ฎ๐ป๐ธ (๐จ๐ป๐ถ๐๐ฒ๐ฟ๐๐ถ๐๐ ๐ผ๐ณ ๐ ๐ฎ๐ป๐ฐ๐ต๐ฒ๐๐๐ฒ๐ฟ)
โณ A collection of academic phrases to structure arguments and improve clarity.
https://lnkd.in/dd_WPYq2
๐ฒ. ๐ฃ๐๐ฟ๐ฑ๐๐ฒ ๐ข๐ช๐ (๐ง๐ต๐ฒ๐๐ถ๐ & ๐๐ถ๐๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป ๐ช๐ฟ๐ถ๐๐ถ๐ป๐ด)
โณ Comprehensive graduate writing support covering structure, style, and citations.
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๐ณ. ๐ ๐๐ง ๐ข๐ฝ๐ฒ๐ป๐๐ผ๐๐ฟ๐๐ฒ๐ช๐ฎ๐ฟ๐ฒ (๐ง๐ต๐ฒ๐๐ถ๐ ๐ช๐ฟ๐ถ๐๐ถ๐ป๐ด ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐)
โณ Free MIT guides, templates, and resources on academic writing.
https://lnkd.in/dKuqvbYs
๐ด. ๐ฃ๐ต๐ ๐ง๐ผ๐ผ๐น๐ธ๐ถ๐ (๐๐ง๐ต๐ถ๐ป๐ธ๐ช๐ฒ๐น๐น)
โณ Free planning tools and templates to help manage your PhD project.
https://lnkd.in/dapEZt9B
๐ต. ๐๐ฒ๐บ๐ถ๐ป๐ด๐๐ฎ๐ ๐๐ฑ๐ถ๐๐ผ๐ฟ
โณ A free tool that checks readability, clarity, and sentence structure.
https://hemingwayapp.com
๐ญ๐ฌ. ๐ฃ๐ฎ๐ฝ๐ฒ๐ฟ๐ฝ๐ฎ๐น ๐ฃ๐น๐ฎ๐ด๐ถ๐ฎ๐ฟ๐ถ๐๐บ ๐๐ต๐ฒ๐ฐ๐ธ๐ฒ๐ฟ
โณ Check up to 7,000 words every month for free against research papers & web sources.
https://bit.ly/3ZriVHI
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We offer assistance in preparing Master's and PhD theses, providing scientific and literary consulting and review, and other services. ๐งโ๐ ๐
Contact the team manager: (Provide us with as much information as possible about your problem or research)โ๏ธ ๐
@Omidyzd62
Contact the team manager: (Provide us with as much information as possible about your problem or research)
@Omidyzd62
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PhD Students - Do this and it will 10x the chances of your manuscript acceptance.
1. Go to https://thesify.ai
2. Upload your manuscript
3. Get feedback on your manuscript
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Incorporate the feedback and then submit your manuscript.
#Thesify follows strict European data protection laws.
#phd #research #manuscript #review
1. Go to https://thesify.ai
2. Upload your manuscript
3. Get feedback on your manuscript
This feedback contains
- What is good in your manuscript?
- What can be improved in your manuscript?
- How to improve your manuscript?
- Which journal to submit your manuscript to?
Incorporate the feedback and then submit your manuscript.
#Thesify follows strict European data protection laws.
#phd #research #manuscript #review
โค5
Forwarded from Machine Learning with Python
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Join our Data Science Full Stack with AI Course โ a real-time, project-based online training designed for hands-on mastery.
Core Topics Covered
โข Data Science using Python with Generative AI: Build end-to-end data pipelines, from data wrangling to deploying AI models with Python libraries like Pandas, Scikit-learn, and Hugging Face transformers.
โข Prompt Engineering: Craft precise prompts to maximize output from models like GPT and Gemini for accurate, creative results.
โข AI Agents & Agentic AI: Develop autonomous agents that reason, plan, and act using frameworks like Lang Chain for real-world automation.
Why Choose This Course?
This training emphasizes live sessions, industry projects, and practical skills for immediate job impact, similar to top programs offering 100+ hours of Python-to-AI progression.
Ready to start? Call/WhatsApp: (+91)-7416877757
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PhD Students - How to write a thesis? ๐๐
Divide your thesis into the following sections:
- Preliminary Section ๐
- Chapter 1: Introduction ๐
- Chapter 2: Literature Review ๐
- Chapter 3: Methodology ๐
- Chapter 4: Results ๐
- Chapter 5: Discussion ๐ฌ
- Chapter 6: Conclusion โ
- Ending Sections ๐
๐#phd ๐#thesis ๐ฌ#research โ๏ธ#writing
Divide your thesis into the following sections:
- Preliminary Section ๐
- Chapter 1: Introduction ๐
- Chapter 2: Literature Review ๐
- Chapter 3: Methodology ๐
- Chapter 4: Results ๐
- Chapter 5: Discussion ๐ฌ
- Chapter 6: Conclusion โ
- Ending Sections ๐
๐#phd ๐#thesis ๐ฌ#research โ๏ธ#writing
โค4
PhD Students ๐ โ Now you can analyze data in seconds โก๏ธ
This tool is used by thousands of researchers ๐งโ๐ฌ.
1. Go to https://lnkd.in/dxp5kicP ๐
2. Click on Data Analysis ๐ and upload your data file ๐.
3. Write your prompt for data analysis โ๏ธ.
4. For example, generate graphs for data analysis ๐.
5. Answerthis will generate variety of graphs for you ๐จ.
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#phd ๐ #research ๐ฌ
This tool is used by thousands of researchers ๐งโ๐ฌ.
1. Go to https://lnkd.in/dxp5kicP ๐
2. Click on Data Analysis ๐ and upload your data file ๐.
3. Write your prompt for data analysis โ๏ธ.
4. For example, generate graphs for data analysis ๐.
5. Answerthis will generate variety of graphs for you ๐จ.
6. It also generates an insightful data analysis report ๐.
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From a single research ideaโฆ
to a complete academic masterpiece.
๐น Professional assistance for:
โ๏ธ Masterโs & PhD Theses
โ๏ธ ISI / Scopus Articles
โ๏ธ Research Proposals & Methodology
โ๏ธ Data Analysis & Statistical Modeling
โ๏ธ AI & Machine Learning Projects
โ๏ธ MATLAB โข Python โข Simulink โข Abaqus โข COMSOL โข Ansys โข ETAP โข PSCAD โข HOMER โข Proteus โข LabVIEW
โ๏ธ Electrical, Civil, Mechanical, Medical, Management, Computer Science & All Engineering Fields
โ๏ธ Rare & High-Quality Datasets
โ๏ธ Simulation Projects & Optimization Algorithms
โ๏ธ Academic Presentation Design
โ๏ธ Journal Revision & Reviewer Response Preparation
๐ Accurate Results
๐ Professional Documentation
๐ป Clean & Structured Coding
๐ Full Confidentiality
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Your research deserves more than copy-paste work.
It deserves precision, originality, and engineering-level thinking.
โจ Turning complex ideas into publishable research.
๐ฉ Contact us for consultation and project evaluation.
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Did you know you don't have to struggle with LaTeX math syntax anymore? ๐ค
There's a Python library called Pix2TeX that uses OCR (Optical Character Recognition) to convert images of equations straight into LaTeX code. ๐ธโก๏ธ๐
You just feed it a screenshot, and it spits out the exact code you need. ๐ปโจ
As developers and researchers, finding tools that eliminate friction in your workflows is everything. ๐
GitHub Repo: ๐ https://lnkd.in/euki7mKV
There's a Python library called Pix2TeX that uses OCR (Optical Character Recognition) to convert images of equations straight into LaTeX code. ๐ธโก๏ธ๐
You just feed it a screenshot, and it spits out the exact code you need. ๐ปโจ
As developers and researchers, finding tools that eliminate friction in your workflows is everything. ๐
GitHub Repo: ๐ https://lnkd.in/euki7mKV
โค3๐1
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Most people donโt fail because they lack ambition ๐ฏ
They fail because their time and energy leak into distractions before they ever reach the goal ๐ฐ๐
This visual explains it perfectly: ๐
Time + Energy are only useful when filtered through discipline ๐ง ๐ก
Without discipline, distractions absorb everything: ๐
โข endless notifications ๐ฑ
โข reactive meetings ๐ค
โข poor sleep ๐ด
โข stress-driven habits ๐คฏ
โข multitasking disguised as productivity ๐
And in high-performance environments, this becomes a leadership issue, not just a personal one ๐ข๐
I see this often in corporate wellness workshops and executive coaching sessions. ๐ฃ
Leaders want better focus, resilience, and performance โก๏ธ
But the real challenge is not motivation ๐ซ๐ฅ
Itโs protecting their cognitive energy daily ๐ง ๐
Discipline is not punishment โ๏ธ
Itโs a system that helps you direct your energy intentionally ๐ฏ
Sometimes that means: โ๏ธ
โ๏ธ starting the day without your phone ๐ต
โ๏ธ eating to stabilize energy and focus ๐ฅ
โ๏ธ creating recovery moments between meetings โธ๏ธ
โ๏ธ reducing unnecessary inputs ๐
โ๏ธ building routines that lower decision fatigue ๐ง
Because peak performance is rarely about doing more ๐
Itโs about allowing less distraction to consume what matters most ๐ฏโจ
Your goals are not only built by effort ๐ช
They are built by what you consistently refuse to give your energy to ๐ซ๐ธ
And if youโre ready to start, I created something simple for you: ๐
My 7 Days to Peak Performance email series ๐ง
designed to help you improve your energy, focus, and productivity with practical daily strategies you can actually stick to. ๐ โ
You can join here: ๐
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#PeakPerformance #ProductivityHacks #FocusMastery #Discipline #ExecutiveCoaching #MindsetShift
They fail because their time and energy leak into distractions before they ever reach the goal ๐ฐ๐
This visual explains it perfectly: ๐
Time + Energy are only useful when filtered through discipline ๐ง ๐ก
Without discipline, distractions absorb everything: ๐
โข endless notifications ๐ฑ
โข reactive meetings ๐ค
โข poor sleep ๐ด
โข stress-driven habits ๐คฏ
โข multitasking disguised as productivity ๐
And in high-performance environments, this becomes a leadership issue, not just a personal one ๐ข๐
I see this often in corporate wellness workshops and executive coaching sessions. ๐ฃ
Leaders want better focus, resilience, and performance โก๏ธ
But the real challenge is not motivation ๐ซ๐ฅ
Itโs protecting their cognitive energy daily ๐ง ๐
Discipline is not punishment โ๏ธ
Itโs a system that helps you direct your energy intentionally ๐ฏ
Sometimes that means: โ๏ธ
โ๏ธ starting the day without your phone ๐ต
โ๏ธ eating to stabilize energy and focus ๐ฅ
โ๏ธ creating recovery moments between meetings โธ๏ธ
โ๏ธ reducing unnecessary inputs ๐
โ๏ธ building routines that lower decision fatigue ๐ง
Because peak performance is rarely about doing more ๐
Itโs about allowing less distraction to consume what matters most ๐ฏโจ
Your goals are not only built by effort ๐ช
They are built by what you consistently refuse to give your energy to ๐ซ๐ธ
And if youโre ready to start, I created something simple for you: ๐
My 7 Days to Peak Performance email series ๐ง
designed to help you improve your energy, focus, and productivity with practical daily strategies you can actually stick to. ๐ โ
You can join here: ๐
https://lnkd.in/eA3h9wb8
#PeakPerformance #ProductivityHacks #FocusMastery #Discipline #ExecutiveCoaching #MindsetShift
โค4๐2
How to Read and Implement AI Research Papers ๐๐คโจ
This free course is designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems ๐ป๐ง ๐.
๐ฌ Free Videos + Guides + Notebooks ๐น๐๐
โฐ Duration: Self-paced (modular, ongoing) โณ๐
๐โโ๏ธ Self Paced ๐โโ๏ธ
๐จโ๐ซ Created by: fast.ai community + ML researchers (Jeremy Howard influence + paper reading guides) ๐จโ๐ป๐ฉโ๐ป
๐ Course Link ๐๐
https://course.fast.ai/
#AI #MachineLearning #DeepLearning #FastAI #TechEducation #Coding
This free course is designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems ๐ป๐ง ๐.
๐ฌ Free Videos + Guides + Notebooks ๐น๐๐
โฐ Duration: Self-paced (modular, ongoing) โณ๐
๐โโ๏ธ Self Paced ๐โโ๏ธ
๐จโ๐ซ Created by: fast.ai community + ML researchers (Jeremy Howard influence + paper reading guides) ๐จโ๐ป๐ฉโ๐ป
๐ Course Link ๐๐
https://course.fast.ai/
#AI #MachineLearning #DeepLearning #FastAI #TechEducation #Coding
Practical Deep Learning for Coders
Practical Deep Learning for Coders - Practical Deep Learning
A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.
โค4