Regular Expressions, Text Normalization, Edit Distance http://web.stanford.edu/~jurafsky/slp3/2.pdf Language Modeling with N-Grams http://web.stanford.edu/~jurafsky/slp3/3.pdf Slide: https://web.stanford.edu/class/cs124/lec/languagemodeling2019.pdf Chapter 4, "Naive Bayes and Sentiment Classification" http://web.stanford.edu/~jurafsky/slp3/4.pdf Slide: https://web.stanford.edu/class/cs124/lec/naivebayes.pdf Thumbs up? Sentiment Classification using Machine Learning Techniques http://www.cs.cornell.edu/home/llee/papers/sentiment.pdf Lexicons for Sentiment, Affect, and Connotation http://web.stanford.edu/~jurafsky/slp3/19.pdf Logistic Regression http://web.stanford.edu/~jurafsky/slp3/5.pdf https://spark-public.s3.amazonaws.com/cs124/slides/ir-1.pdf J+M (3ed) Chapter 6: Vector Semantics, 1-7, 18-26, and review 8-15 …
Category: ব্লগ । Blog
ব্লগ । Blog
May 17
Reinforcement Learning Concepts Explained in a Simple Way.
Reinforcement Learning Concepts Explained in a Simple (or not) Way. This is intended for the beginners who want to know the concepts used in Reinforcement Learning i.e. Interactive Learning. Reinforcement Learning is also one aspect of Machine Learning, Data Science, and AI Summary of Tabular Methods in Reinforcement Learning Comparison between the different tabular methods …
May 17
WordPress: Hide Date and Author from your posts
Yes, it is WordPress. Positively, you can think it to be similar to embedded programming (not inside hardware but inside a software) Options: Use Plugins such as 1. WP Meta and Date Remover 2. WP Post Date Remover. The plugins after installing will remove post date. However, you might need to add custom CSS for …
May 16
LDA: Latent Dirichlet Allocation (LDA): Applications of LDA
What is LDA topic modeling? "Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic" https://towardsdatascience.com/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24 What is topic modeling used for? "In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract …
May 16
On LDA: LDA and Healthcare
What is LDA topic modeling? "Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic" https://towardsdatascience.com/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24 What is topic modeling used for? "In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract …
May 07
Want to become a self-driving car engineer: “12 PROJECTS THAT HELP YOU BECOME SELF-DRIVING CAR ENGINEER (PYTHON and C++ CODE AVAILABLE)”
Want to become a self-driving car engineer: "12 PROJECTS THAT HELP YOU BECOME SELF-DRIVING CAR ENGINEER (PYTHON and C++ CODE AVAILABLE)" Project 1 – Finding Lane Lines on the Road https://github.com/ndrplz/self-driving-car/tree/master/project_1_lane_finding_basic Project 2 – Traffic Sign Classification https://github.com/ndrplz/self-driving-car/tree/master/project_2_traffic_sign_classifier Project 3 – Behavioral Cloning https://github.com/ndrplz/self-driving-car/tree/master/project_3_behavioral_cloning Project 4 – Advanced Lane Finding https://github.com/ndrplz/self-driving-car/tree/master/project_4_advanced_lane_finding Vehicle Detection Project https://github.com/ndrplz/self-driving-car/tree/master/project_5_vehicle_detection …
May 04
Recommended Book: Books covering many aspects of teaching in higher education
Svinicki, M. & McKeachie, W.J. (2014) McKeachie’s Teaching Tips: Strategies, Research and Theory for College and University Teachers. (14th ed). Australia: Wadsworth, Cengage Learning. • Davis, B.G. (2009). Tools for Teaching. San Francisco, CA: Jossey-Bass. • Bain, K. (2004). What the Best College Teachers Do. Cambridge, MA: Harvard University Press.
May 03
AI Implementation Platforms: Reinforcement Learning Platforms and Applications:
" Gym: https://gym.openai.com/ Gym is a toolkit for developing and comparing …. It supports teaching agents everything from walking to playing games like Pong or Pinball. " https://gym.openai.com/ —- "Project Malmo integrates (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. " https://www.microsoft.com/en-us/research/project/project-malmo/ —- DeepMind: "DeepMind’s scientific mission is to push the boundaries …
May 03
Applications and Research on Reinforcement Learning
"WHAT ARE MAJOR REINFORCEMENT LEARNING ACHIEVEMENTS & PAPERS FROM 2018?" Reference: https://www.topbots.com/most-important-ai-reinforcement-learning-research/#ai-rl-paper-2018-10 " Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures Temporal Difference Models: Model-Free Deep RL for Model-Based Control Addressing Function Approximation Error in Actor-Critic Methods Learning by Playing – Solving …
May 03
Reinforcement Learning: Tutorials: Code: Questions and Answers
Reinforcement Learning: Tutorials: Code: Questions and Answers Must Check: Questions and Answers: https://www.inf.ed.ac.uk/teaching/courses/rl/tutorials.html Check if you can find an equation here: Check the grid example https://medium.com/@zsalloum/monte-carlo-in-reinforcement-learning-the-easy-way-564c53010511 TD: Temporal Difference https://towardsdatascience.com/td-in-reinforcement-learning-the-easy-way-f92ecfa9f3ce Not that good: https://courses.cs.washington.edu/courses/csep573/12au/lectures/18-rl.pdf http://incompleteideas.net/609%20dropbox/slides%20(pdf%20and%20keynote)/9-10-MC.pdf
