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db eda tool https://github.com/Renumics/spotlight GitHub - Renumics/spotlight: Interactively explore unstructured datasets from your dataframe. Interactively explore unstructured datasets from your dataframe. - GitHub - Renumics/spotlight: Interactively explore unstructured datasets from your dataframe. github.com 더보기
LLM 1. Ollama LLM 여러 모델 로컬에서 돌릴 수 있도록 만든 시스템 https://github.com/jmorganca/ollama GitHub - jmorganca/ollama: Get up and running with Llama 2 and other large language models locally Get up and running with Llama 2 and other large language models locally - GitHub - jmorganca/ollama: Get up and running with Llama 2 and other large language models locally github.com https://ollama.ai/ Ollama Get up and r.. 더보기
deep q learning links https://www.edwith.org/deeplearningchoi/lecture/15840/ [LECTURE] Recurrent Neural Network(RNN): LSTM : edwith 학습목표 이번 강의에서는Recurrent neural network (RNN), 그 안에서도Long Short Term Memory (LSTM)에 대해서 다뤄보도록 하겠습니다. L... - 커넥트재단 www.edwith.org https://medium.com/@gtnjuvin/my-journey-into-deep-q-learning-with-keras-and-gym-3e779cc12762 My Journey Into Deep Q-Learning with Keras and Gym This post will sh.. 더보기
deepQ Learning This question has Latex syntax. Let $r_s \in \{-4,-1,0,1\}$. Starting in \textbf{square 3}, for each of the possible values of $r_s$ briefly explain what the optimal policy would be in Flappy World 2. Using the value of $r_s$, that would cause the optimal policy to return the shortest path to the green target square, find the optimal value function for each square in Flappy world 2. What is the .. 더보기
RF Deep reinforcement learning - [강사] 지금까지의 과정에서는 가장 기본적인 형태의 강화학습을 살펴보고, 모든 것이 어떻게 작동하는지, 에이전트가 상태에서 학습하는 방식, 각 동작에 대한 동작 값을 Q-Table에서 어떻게 가르치는지를 이해했습니다. 또한 에이전트가 잘 수행하고 더 나은 조치를 취하려면 제대로 학습하기 위해 많은 조치를 시도해야 한다는 것도 알고 있습니다. 이제 에이전트가 Q-Table에서 추적해야 하는 이 많은 작업을 생각해 보십시오. Q-Table은 얼마나 클까요? 예, 아주, 아주 큽니다. 그리고 이것이 바로 딥 러닝이 등장하는 곳이며, 강화 학습을 보다 효과적으로 만들고 더 큰 정보 공간을 더 쉽게 처리할 수 있도록 합니다. 신경망은 에이전트가 환경에 대해 가.. 더보기
RandomForestClassifier Help on RandomForestClassifier in module sklearn.ensemble._forest object: class RandomForestClassifier(ForestClassifier) | RandomForestClassifier(n_estimators=100, *, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='auto', max_leaf_nodes=None, min_impurity_decrease=0.0, min_impurity_split=None, bootstrap=True, oob_score=False,.. 더보기
pandas AI https://www.geeksforgeeks.org/pandas-ai/ Pandas AI: The Generative AI Python Library - GeeksforGeeks A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. www.geeksforgeeks.org Text로 질문을 하면 dataframe에 있는 데이터로 답을 해줌;; NLP 인식모듈 탑재됨 ㅋㅋㅋ 더보기
RFL books 1 Reinforcement Learning: An Introduction, Sutton and Barto, 2nd Edition. This is available for free here and references will refer to the final pdf version available here. http://incompleteideas.net/book/RLbook2018.pdf http://incompleteideas.net/book/the-book-2nd.html Some other additional references that may be useful are listed below: Reinforcement Learning: State-of-the-Art, Marco Wiering an.. 더보기

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