Decision Tree with Pen and Paper. Easy ~6 hours.
Logistic Regression from Scratch. Challenging ~30 hours.
- Algebra
- Derivatives
- Probability
- Computer Science
- Fundamentals
- Limits
- Computational math
- Numerical functions
- Integrals
- Multivariable calculus
- https://github.com/eriklindernoren/ML-From-Scratch
- https://cs229.stanford.edu
- https://shainarace.github.io/LinearAlgebra
- https://probability4datascience.com
- https://christophm.github.io/interpretable-ml-book
- https://www.tivadardanka.com/blog/the-statistical-foundations-of-machine-learning
- https://github.com/eriklindernoren/ML-From-Scratch
- https://towardsdatascience.com/the-deep-learning-ai-dictionary-ade421df39e4
- https://deeplizard.com/lesson/ddc1dlirza
- Linear Algebra Done Right by Sheldon Axler
- Machine learning theory made easy
- Grokking Deep Learning by Andrew Trask
- Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- Neural-networks-and-deep-learning
- https://github.com/mnielsen/neural-networks-and-deep-learning
- linear algebra
- probability theory
- multivariate calculus
- optimization.
What is a neural network? | Chapter 1, Deep learning
- http://colah.github.io
- Neural networks
- https://playground.tensorflow.org
- https://distill.pub
- Deep Learning (Adaptive Computation and Machine Learning Series)
- Introduction to Deep Learning
- [Why Neural Networks can learn anything]https://www.youtube.com/watch?v=0QczhVg5HaI)
- Neural Networks: Zero to Hero
Elon Musk apologizes after mocking laid-off Twitter employee with disability
Google: ইলন মাস্ক অক্ষমতা সহ ছাঁটাই করা টুইটার কর্মীকে উপহাস করার পরে ক্ষমা চেয়েছেন
Microsoft: প্রতিবন্ধী টুইটার কর্মীকে নিয়ে ঠাট্টা করার পর ক্ষমা চাইলেন ইলন মাস্ক
- https://github.com/saiful9379/Bangla_Translation
- https://huggingface.co/spaces/shawon100/english-to-bangla-translation
- pipe= pipeline('text2text-generation', model="facebook/m2m100_418M")
- https://github.com/google-research/t5x
- https://revolveai.com/natural-language-processing-examples/
Words, phrases, sentences, and sometimes entire books are fed into the ML engines, where they are processed based on grammar rules, people’s real-life language habits, or both. The computer uses this data to find patterns and anticipate what comes next.
If you’ve ever used a social media monitoring tool like Buffer or Hootsuite,
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automated assistant, which uses NLP to allow patients to share their information. Before their appointment with the physician, a patient is simply required to text their medical history/conditions to the app. It would then streamline the information, passing it on to the physician.
A transformer is a deep learning model that adopts the mechanism of self-attention, differentially weighting the significance of each part of the input data. It is used primarily in the fields of natural language processing (NLP) and computer vision (CV). Like recurrent neural networks (RNNs),