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You have successfully completed an online Machine Learning course offered from October to December 2011. To finish the course, students had to watch lectures, answer review questions, and do programming exercises. For the review questions, you received a score of 80 out of a maximum of 80. For the programming exercises, your score was 800 out of a maximum of 800. The certificate verifies completion of the online course but does not confer any academic credit from Stanford University.
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Andreea Salinca successfully completed the online Machine Learning course offered from October to December 2011, as evidenced by a letter of accomplishment signed by Andrew Ng. To finish the course, students had to watch lectures, complete review questions scoring 68 out of 80, and work through programming exercises scoring 734 out of 800. While completing the online course, the learner did not receive a Stanford grade, credit, degree, or verified identity, as the online version did not reflect the entire curriculum of the on-campus program.
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El tiempo es una magnitud física que se usa para medir la duración o separación de eventos sujetos a cambio. El tiempo permite ordenar los sucesos en secuencias de pasado, presente y futuro. En mecánica relativista, los hechos simultáneos son relativos al observador, excepto si ocurren en el mismo lugar. La unidad básica de tiempo en el Sistema Internacional es el segundo. Manejar el tiempo implica analizar el uso de este recurso para dirigir los esfuerzos de forma efectiva en la vida personal y profesional. Form
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Andreea Salinca successfully completed the online Machine Learning course offered from October to December 2011, as evidenced by a letter of accomplishment signed by Andrew Ng. To finish the course, students had to watch lectures, complete review questions scoring 68 out of 80, and work through programming exercises scoring 734 out of 800. While completing the online course, the learner did not receive a Stanford grade, credit, degree, or verified identity, as the online version did not reflect the entire curriculum of the on-campus program.
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Alexander Polovinko successfully completed an online Machine Learning course offered from October to December 2011, as evidenced by a letter of congratulations signed by Andrew Ng. To finish the course, students had to watch lectures, complete review questions scoring 79/80, and work through programming exercises scoring 800/800. The document confirms completion of the online course but does not represent enrollment at Stanford or confer a Stanford grade, credit, degree or verify identity.
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- 1. Statement of Accomplishment December 31, 2011 Dear Md. Mahbubul Hasan (shanto86@gmail.com), Congratulations! You have successfully completed the online Machine Learn- ing course (ml-class.org), offered October through December, 2011. To success- fully complete this online course, students were required to watch lectures, com- plete review questions, and work through programming exercises. Your score on these components were as follows: Review Questions: 80 out of a maximum of 80 Programming Exercises: 800 out of a maximum of 800 Sincerely, Andrew Ng Disclaimer: This online offering of Machine Learning does not reflect the entire curriculum offered to students enrolled at Stanford University. This document does not affirm that you were enrolled as a Stanford student in any way; it does not confer a Stanford grade; it does not confer Stanford credit; it does not confer a Stanford degree or a certificate; and it does not verify the identity of the individual who took the course.