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Data science

Xem 1-20 trên 63 kết quả Data science
  • SPSS là tên viết tắt của cụm từ Statistical Package for the Social Sciences. Đây là một phần mềm được sử dụng rộng dãi nhất để phân tích thống kê trong nghiên cứu khoa học tự nhiên và khoa học xã hội nói chung. Phiên bản đầu tiên được phát hành năm 1968 do Công ty liên hợp SPSS- Chicago Mỹ sản xuất. Đến tháng 7 năm 2007 đã có phiên bản thứ 16 (SPSS 16.0) Môi trường làm việc của SPSS gồm hai phần: phần soạn thảo dữ liệu đầu vào (SPSS Data Editor) và phần kết quả đầu ra (Output – SPSS Viewer)....

    pdf27p beaver123 20-07-2013 210 37   Download

  • Refers to a natural process converting atmospheric nitrogen to ammonium to yield usable nitrogen source. • Only a few prokaryotic species can "fix" nitrogen. • Nitrogenase complex dinitrogenase dinitrogenase reductase

    ppt114p zingzing09 21-10-2012 90 7   Download

  • Alter the appearance, aroma, texture and flavor of a product. Deliver nutrients more effectively to the body or to make a food that is difficult to digest a bit easier to swallow. Accelerate the good fermentation time, giving a finished product in weeks instead of months.

    ppt36p zingzing09 21-10-2012 101 19   Download

  • Many enzymes are added to grain feeds in order to convert some of the indigestible carbohydrates acting only as dietary fiber to accessible energy sources. amylases and glycases

    ppt24p zingzing09 21-10-2012 83 9   Download

  • BK TP.HCM Ho Chi Minh City University of Technology Faculty of Computer Science and Engineering BK TP.HCM Data Structures and Algorithms – C++ Implementation Huỳnh T n t Email: htdat@cse.hcmut.edu.vn Home Page: http://www.cse.hcmut.edu.vn/~htdat/ .Pointer in C++ Declaration Node *ptr; Create an object ptr = new Node(); A pointer usage printf(“Data in node: %d”, ptr-data); Destroy an object delete ptr; NULL pointer ptr = NULL; ??? ptr ptr ??? ptr ptr Faculty of Computer Science and Engineering – HCMUT Slide 2 .

    pdf53p unknownno30 14-11-2012 107 18   Download

  • Trường Đại học Bách Khoa Hà Nội Hanoi University of Science and Technology Hệ thông Thông tin Hàng Không TS. Đỗ Trọng Tuấn Bộ môn Kỹ thuật thông tin © HUST 2012 .Trường Đại học Bách Khoa Hà Nội Hanoi University of Science and Technology Hệ thống Thông tin Hàng Không © HUST 2012 .Teminologies ATN: Aeronautical Telecommunications Network AFTN: Aeronautical Fix Telecommunications Network AMHS: Air Traffic Service Message Handling System 3 .Development Trends .

    pdf27p hanampro91 10-05-2013 107 7   Download

  • Bài giảng Nhập môn lập trình khoa học dữ liệu: Bài 1 Giới Thiệu môn học cung cấp cho người học những kiến thức như: Thông tin chung về môn học; Data science (khoa học dữ liệu) là gì; Data scientist (nhà khoa học dữ liệu) làm gì. Mời các bạn cùng tham khảo!

    pdf45p conbongungoc09 05-08-2021 113 8   Download

  • Lecture "Applied data science: Exploratory data analysis" includes content: definitions; data types; steps in Exploratory Data Analysis (EDA); EDA in real-life practice;... We invite you to consult!

    pdf35p kimphuong1144 04-12-2023 7 4   Download

  • Lecture "Applied data science: Clustering" includes content: Exemplary technique - K-means clustering; Exemplary technique - Hierarchical clustering; Practical issues in clustering; Case study;... We invite you to consult!

    pdf21p kimphuong1144 04-12-2023 8 3   Download

  • Lecture "Applied data science: Regularisation" includes content: variable subset selection, shrinkage methods, dimension reduction, considerations in high dimensions,... We invite you to consult!

    pdf34p kimphuong1144 04-12-2023 10 3   Download

  • Lecture "Applied data science: Validation" includes content: validation set approach; overfitting; cross-validation; data leakage; nested cross-validation; bootstrapping;... We invite you to consult!

    pdf23p kimphuong1144 04-12-2023 15 3   Download

  • Lecture "Applied data science: Learning process and Bias – variance tradeoff" includes content: learning process, bias – variance tradeoff, variance tradeoff, bias variance,... We invite you to consult!

    pdf24p kimphuong1144 04-12-2023 9 3   Download

  • Lecture "Administration and visualization: Chapter 5.1 - Exploratory data analysis" provides students with content about: Data science process; Exploratory data analysis (EDA) focus; EDA definition; EDA common questions;... Please refer to the detailed content of the lecture!

    pdf83p gaupanda031 20-05-2024 15 4   Download

  • Lecture "Applied data science: Introduction" includes content: data science application, history data science, history statistisc, history big data, data science lifecycle,... We invite you to consult!

    pdf20p kimphuong1144 04-12-2023 10 4   Download

  • Lecture "Applied data science: Evaluation, deployment, ethics" includes content: evaluation validation components, evaluation dataset, simpon's paradox, some ethical issues in ML,... We invite you to consult!

    pdf19p kimphuong1144 04-12-2023 5 3   Download

  • Lecture "Applied data science: Classification" includes content: Classification - logistic regression review ; classification evaluation metrics; the expected value framework;... We invite you to consult!

    pdf18p kimphuong1144 04-12-2023 6 3   Download

  • Lecture "Applied data science: Linear regression (review)" includes content: the regression model formulation, understanding the regression results, potential problems in regression model,... We invite you to consult!

    pdf20p kimphuong1144 04-12-2023 8 3   Download

  • Lecture "Applied data science: Application" includes content: digital transformation, data science lifecycle, data science application,... We invite you to consult!

    pdf12p kimphuong1144 04-12-2023 9 3   Download

  • Semantic extraction from images is a topical problem and is applied in many different semantic retrieval systems. In this paper, a method of image semantic retrieval is proposed based on a set of images similar to the input image. Since then, the semantics of the image are queried on the ontology by the visual word vector.

    pdf20p vimurdoch 18-09-2023 8 3   Download

  • In the multi-dimensional model of data warehouses, data drawn from multiple sources is organized into fact tables and dimension tables. Data cubes pre-compute the aggregations of measurements along combinations of dimensions to speed up the processing of Online Analytical Processing (OLAP) queries. When the underlying fact tables or dimension tables change over time, data cubes need to be incrementally maintained to reflect these changes. In this thesis, we study the problem of incrementally maintaining data cubes under slowly changing dimensions.

    pdf22p runthenight05 01-03-2023 11 3   Download

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