Data Science (데이터과학) is the extraction of knowledge from large volumes of data that are structured or unstructured, which is a continuation of the field Data analysis and predictive analytics, also known as knowledge discovery and data mining (KDD). (https://en.wikipedia.org/wiki/Data_science)

관련 정보

• Data science Python notebooks: Jupyter notebooks for Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, Big data (Spark, Hadoop MapReduce, HDFS), Matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines
• Data Science Interview Questions and Answers: 데이터과학 분야 인터뷰 질문과 답변
• Computer Age Statistical Inference: 무료 책
• 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more

관련 기사

• 정규표현식으로 5일 걸리는 작업 15분만에 끝내기 2017-11-20: 데이터 정제시 비슷한 단어를 정리할 때 활용하는 FlashText 프로그램에 관한 글
• 데이터 과학을 무료로 공부해보자 2016-02-05
• Python Displacing R As The Programming Language For Data Science 2016-02-05: 데이터 과학 분야에서 Python이 R을 대체하고 있다고

Incoming Links #

Related Articles (Article 0) #

• Data analysis
• Machine learning

Related Codes (Code 1) #

• DVC

Suggested Pages #

• 0.239 Kubeflow
• 0.117 Text-to-image model
• 0.036 Machine learning for Genomics
• 0.036 Python for Scientists
• 0.034 Naive Bayes classifier
• 0.032 Decision tree
• 0.025 April 25
• 0.025 하용호
• 0.024 Scikit Flow
• 0.024 Open source
• More suggestions...