Bangladesh Machine Learning Research Group

12/07/2024

Deep Learning Roadmap for Beginners.

14/06/2024

𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝒘𝒊𝒕𝒉 𝑹 𝒊𝒔 𝑭𝑹𝑬𝑬*

𝐎𝐧𝐥𝐢𝐧𝐞 𝐈𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐨𝐫-𝐥𝐞𝐝 𝐒𝐤𝐢𝐥𝐥 𝐓𝐫𝐚𝐜𝐤 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬 𝐨𝐧 “𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐰𝐢𝐭𝐡 𝐑 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞”

Community group: https://www.facebook.com/groups/962305230790563

Statistical Research Consultants Bangladesh (SRCBD) is offering 6 different Online Instructor-led skill track hands-on training sessions to learn R programming step-by-step starting from 14th July 2024. The title of our skill track is "Data Analytics with R for Data Science.". These 6 R programming course tracks are:

Training Track-1: R Programming Basics
Training Track-2: Importing and Cleaning Data in R
Training Track-3: Data Manipulation with R
Training Track-4: Data Visualization with R
Training Track-5: Statistics Fundamentals with R
Training Track-6: Machine Learning with R

Course Syllabus: https://shorturl.at/mlrg3

📣📣 Offer on Course fee:
If anyone joins all training tracks from Training Track-1 to Training Track-5, then participants will get Training Track-6: Machine Learning with R for free.

R Registration Link: https://forms.gle/egEzcRpa94HJ7AWL9

Bangladesh Machine Learning Research Group

24/04/2023

10 POWERFUL AI websites you must know 👇

1. https://www.webador.com/ → AI website builder
2. http://Krisp.ai → AI noise cancellation
3. https://rytr.me/ → AI writer
4. http://Stockimg.ai → Design with AI
5. http://GPTgo.ai → ChatGPT wt google search
6. https://boomy.com/ → AI music maker
7. https://designs.ai/ → AI slides maker
8. http://Spoke.ai → AI for slack
9. http://tldv.io → AI meeting notes
10. https://www.augxlabs.com → Text to video

Even without experience you can create your own website in 4 easy steps. Rated 9★ SEO-ready ✓ Responsive ✓ Free domain ✓ SSL ✓ Many features

14/04/2023

If you're not using AI, you're falling behind.

24 AI tools to future-proof yourself:

10/04/2023

🎯 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 39 𝐂𝐚𝐫𝐞𝐟𝐮𝐥𝐥𝐲 𝐂𝐮𝐫𝐚𝐭𝐞𝐝 𝐂𝐡𝐞𝐚𝐭 𝐒𝐡𝐞𝐞𝐭𝐬, 𝗬𝗼𝘂'𝗹𝗹 𝗘𝘃𝗲𝗿 𝗡𝗲𝗲𝗱! 📚🏆

1. Python : https://lnkd.in/grD8XUS6
2. Pandas : https://lnkd.in/g4yTJ7CP
3. NumPy : https://lnkd.in/gg9Uw-km
4. Matplotlib https://lnkd.in/gahrGicD
5. Seaborn https://lnkd.in/gcu4UKpw
6. Scikit-learn https://lnkd.in/gGfkNu5i
7. TensorFlow : https://lnkd.in/g3fw3uRV
8. Keras : https://lnkd.in/gfPTfbgg
9. PyTorch https://bit.ly/3lnsiIz
10. SQL : https://lnkd.in/gnwe4qcb
11. R : https://lnkd.in/gEgJ6A8j
12. Git : https://lnkd.in/gyzhztvH
13. AWS https://bit.ly/3ZQWMS1
14. Azure https://bit.ly/42f4N4V
15. Google Cloud Platform : https://bit.ly/3JJADzv
16. Jupyter Notebook https://lnkd.in/g7cPmgHQ
17. Data Wrangling :https://bit.ly/3TiMibP
18. Data Visualization : https://lnkd.in/gQ52Jd_J
19. Statistical Inference https://lnkd.in/grNXVQh5
20. Probability : https://lnkd.in/gvnWCphc
21. Linear Algebra : https://lnkd.in/gty6XpVF
22. Calculus https://lnkd.in/gjhsmsxu
23. Time Series : https://bit.ly/3Fvuep4
24. NLP: https://bit.ly/3Fvursm
25. Neural Network : https://lnkd.in/gThs2AAp
26. Deep Learning : https://lnkd.in/gVbSPae2
27. Machine Learning : https://bit.ly/3mZ5Wh3
28. Apache Spark : https://lnkd.in/ge7Rj-Yr
29. Hadoop : https://bit.ly/3Lq34DR
30. Regular Expression : https://lnkd.in/gE9kZTZW
31. Python String Formatting https://lnkd.in/gHi26Uk2
32. SQL : https://lnkd.in/gyierV3f
33. PostgreSQL : https://lnkd.in/gzfiW7zB
34. MySQL: https://lnkd.in/g4JnPVTe
35. TensorFlow Probability Cheat Sheet: https://lnkd.in/gr3bgDGP
36. OpenAI GPT-3 Documentation: https://lnkd.in/gawB_SC9
37. GPT-3 API Reference: https://lnkd.in/gtCGZvX8
38. GPT-3 GitHub Repository: https://lnkd.in/g56cQQPD
39. Chat GPT Cheat Sheet : https://lnkd.in/e43cDB9q

Anyone can forget how to make character classes for a regex, slice a list or do a for loop. This cheat sheet tries to provide a basic reference for beginner and advanced developers, lower the entry barrier for newcomers and help veterans refresh the old tricks.

28/01/2023

Free datasets for Machine Learning/Deep Learning

1 = Google Dataset Search – A search engine for datasets: https://datasetsearch.research.google.com/

2 = IBM’s collection of datasets for enterprise applications: https://developer.ibm.com/exchanges/data/

3 = Kaggle Datasets: https://www.kaggle.com/datasets

4 = Huggingface Datasets – A Python library for loading NLP datasets: https://github.com/huggingface/datasets

5 = A large list organized by application domain: https://github.com/awesomedata/awesome-public-datasets

6 = Computer Vision Datasets (a really large list): https://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm

7 = Datasetlist – Datasets by domain: https://www.datasetlist.com/

8 = OpenML – A search engine for curated datasets and workflows: https://www.openml.org/search?type=data

9 = Papers with Code – Datasets with benchmarks: https://www.paperswithcode.com/datasets

10 = Penn Machine Learning Benchmarks: https://github.com/EpistasisLab/pmlb/tree/master/datasets

11 = UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/index.php

12 = VisualDataDiscovery (for Computer Vision): https://www.visualdata.io/discovery

13 = Roboflow Public Datasets for computer vision: https://public.roboflow.com/

Download free, open source datasets for computer vision machine learning models in a variety of formats.

02/01/2023

FREE Google Course for 2023!

Google Analytics for Power Users
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Fundamentals of digital marketing
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Python Basics for Data Analysis
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Data Science Foundations
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Google Analytics for Beginners
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Advanced Google Analytics
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Get started with Google Maps Platform
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Google Cloud Computing Foundations:
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Google Cloud Computing Foundations:
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Data, ML, and AI in Google Cloud
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Google Cloud Computing Foundations: Networking and Security in Google Cloud
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Machine Learning Crash Course
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Basics of Machine Learning
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Data Science with Python
https://lnkd.in/dkr4KGHD

Google Analytics for Power Users builds on learners' advanced understanding of Google Analytics. Now that you're familiar with the range of features Analytics offers, put your knowledge into action. Learn and practice techniques for comparing users who convert with those who don't, analyzing traffic...

04/09/2022

Different Types of Machine Learning

source: datasciencebrain

14/08/2022

Top Machine Learning Algorithms For Predictions

10/08/2022

31/12/2021

Cheat sheet on Convolutional Neural Network (CNN)