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La canción principal de ‘Omoide no Marnie’ es candidata a ser nominada para los Óscar
La Academia de Artes y Ciencias Cinematográficas ha anunciado los 74 temas musicales que aspiran a una nominación a la edición número 88 de los Óscar en la categoría de Mejor canción original. En la lista podemos encontrar el tema “Fine on the Outside” de la película Omoide no Marnie de Studio Ghibli. La artista Priscilla Ahn interpretó el tema, siendo la primera canción principal completamente en inglés en una película de Ghibli. Omoide no Marnie también se presentó como candidata al Óscar a la Mejor película de animación. Las nominaciones se anunciarán el próximo 14 de enero, celebrándose la ceremonia de entrega de los Óscar el 28 de febrero. Fuente: ANN
Oct 13, 2017
Puntos de vista 72
Mogura no Aventure: El anime televisivo más antiguo que se conserva y que data de 1958
El pasado viernes se revelaba el descubrimiento del film Mogura no Aventure, la animación japonesa para televisión más antigua que ha sobrevivido hasta estos días. La obra a color se emitía por primera vez el 15 de octubre de 1958 en NTV. Aunque el film tiene ya 55 años, las condiciones del mismo son buenas. El anime fue producido con frames dibujados en papel y dura un total de ocho minutos y 53 segundos. Cuenta la cómica historia de un topo llamado Kuro-chan que se embarca en un viaje espacial como soñaba. La actriz Sonomi Nakajima puso voz al personaje y cantó la canción principal del mismo. Aunque la existencia de este anime era conocida para los investigadores, no se había podido encontrar ninguna copia que se hubiese conservado hasta la era actual. Esta en concreto fue descubierta en un almacén de Ikuta Studio, de NTV, en la ciudad de Kawasaki el pasado mes de febrero. Japón comenzó las emisiones a todo color
Oct 14, 2017
Puntos de vista 101
Finalizan los mangas Danganronpa: Kibo no Gakuen to Zetsubou Koukousei y Red Data Girl
La cuenta de Twitter oficial de la revista Shonen Ace de Kadokawa Shoten ha anunciado que los mangas Danganronpa: Kibo no Gakuen to Zetsubou Koukousei de Takashi Tsukimi y Red Data Girl de Noriko Ogiwara y Ranmaru Kotone, han llegado a su fin con el número de septiembre de la revista. Danganronpa: Kibo no Gakuen to Zetsubou Koukousei se lanzaba en 2013, y Tsukimi fue responsable de adaptar el videojuego de Spike Chunsoft. El cuarto tomo recopilatorio se lanzará el 26 de agosto en Japón. Ranmaru Kotone lanzaba en 2012 la adaptación de la serie de novelas Red Data Girl de Noriko Ogiwara. Su cuarto tomo recopilatorio se puso a la venta en abril. Fuente: ANN
Oct 15, 2017
Puntos de vista 214
Tohru Fujisawa finaliza Ino Head Gargoyle y retrasa el lanzamiento de Red Data Planet
Tohru Fujisawa, mangaka responsable de GTO, ha retrasado el lanzamiento de su nuevo manga, Red Data Planet, el cual debía haber debutado en el número de enero de la revista Magazine Special de Kodansha. El manga tampoco aparece en las listas de contenido del número de febrero. Fujisawa ponía fin el pasado lunes a la primera parte de su manga Ino Head Gargoyle en el octavo número de la Young Magazine de Kodansha. La revista revelaba que Fujisawa daría comienzo a un nuevo manga la próxima primavera. No especificaron si el manga sería la nueva parte de Ino Head Gargoyle u otro proyecto diferente. Actualmente el autor trabaja en Kamen Teacher Black dentro de las páginas de la Young Jump de Shueisha. También trabaja en Tokko Zero junto a Yukai Asada, en Soul Reviver con Manabu Akishige y en Shonan Seven con Shinsuke Takahashi. Fuente: ANN
Oct 15, 2017
Puntos de vista 167
Red Data Planet, nuevo manga de Tohru Fujisawa que comenzará en diciembre
El número de septiembre de la revista Magazine Special de Kodansha llega con el anuncio de una nueva serie de Tohru Fujisawa, autor de GTO. Fujisawa lanzará el manga Red Data Planet en el número de enero de la revista, a la venta el 20 de diciembre. Fujisawa se encuentra actualmente publicando Kamen Teacher Black, Ino Head Gargoyle e Itoshi no Dutchoven Girl. También colabora en Tokko Zero con Yukai Asada, en Space Sheriff Gavan con Yuji Kobayashi y Masaki Ota, y en Soul Reviver con Manabu Akishige. Fuente: ANN
Oct 15, 2017
Puntos de vista 140
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d a n i 🍒
d a n i 🍒
Aug 23, 2018
#Love-Data:''''''''''(
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praveenskillslash
praveenskillslash
Mar 01, 2023
Enroll in our Data Science Course in Bangalore to learn the principles of Data Science. Acquire experience working on projects with top-tier industry collaborators. Learn from professionals in live-interactive sessions with a Guaranteed job referral. Data Science Course In Bangalore
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1stepGrow
1stepGrow
Mar 15, 2023
Data Science and Ai course

1stepGrow Academy is pleased to offer an advanced Artificial intelligence and data science course that will equip professionals with the skillsets and knowledge required for success in today's rapidly advancing world of big data and machine learning. Our comprehensive curriculum encompasses a wide range of topics, from data science and statistical analysis to advanced techniques like deep learning and neural networks. Professionals will be equipped with the skillset needed to extract valuable insights from large datasets and construct predictive models that address real-world problems.
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dancingnumbers
dancingnumbers
Dec 12, 2022
Dancing Numbers is a platform where you can make your work easier with our services of importing, exporting, and deleting the data in your QuickBooks account easily.
https://www.dancingnumbers.com/
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sourceessay12
sourceessay12
Mar 15, 2023
Why Should You Pursue a Career in Data Science? (Career in Data Science, dissertation writing service, thesis help , assignment help Online)
https://sourceessay.com/plagiarsim-free-academic-essay-at-sourceessay/mba-essay-writing-help/

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Data scientists will continue to be in high demand. Why is this taking place? What's behind this sudden increase in demand? We'll look at the reasons why a career in data science appears to be one of the most promising for years to come in this piece. Data science is in vogue. If you're wondering why it's one of the most promising job choices open to grads today, keep reading to learn the seven explanations.
Data science is a young and expanding subject that combines computer expertise with analytical thinking and statistical understanding. One may use their education, professional experience, and talents in a job in data science to take advantage of the staggering amounts of data that are constantly being mined and gathered from various sources.
This has prompted many to assert that people who are knowledgeable in data science are well-positioned for success in the modern world.
In light of the current growth and popularity of data science occupations, prospective data scientists may be asking themselves, "Should I Become a Data Scientist?
This essay examines seven factors that should influence your decision to work in data science.
Data science careers provide job stability
Imagine having a job that is secure and allowing you to utilise cutting-edge technology every day. There aren't many jobs in today's market that can make such grand claims. Due to technological improvements, many occupations have become obsolete; nevertheless, the field of data science is blooming with demand and will continue to grow at an accelerating rate.
The fact that data scientists may use their expertise in a variety of sectors and businesses explains in part why this is true. There are several chances open for you, whether you're interested in working in healthcare, government, or business consulting. Students can now avail dissertation writing service from SourceEssay.
In addition, businesses want their staff to keep up-to-date on new technology so they can better meet client expectations. As a result, most employers provide training opportunities to staff members who desire them (which means more money).
Another advantage is that companies typically offer great retirement plans within 3 years, which means less stress about saving enough money for retirement later on down the road when income may not be as high. In contrast, in other industries, employees must leave their employer after 5 years in order to receive retirement benefits like 401(k).
Data scientists are highly sought-after.
It is evident that there is a significant need for data scientists.
According to the Bureau of Labour Statistics, there are more jobs available than qualified candidates, and incomes are high.
Data science has become one of the most sought-after professional paths in technology, according to TechRepublic. It's simple to see why data science has been a leader in the field for so long: It pays well, offers a wide range of career possibilities at prestigious firms all over the world, and enables experts to work on complex issues that have an impact on actual people. Students can now avail thesis help from SourceEssay professionals.

You can better comprehend the world around you thanks to data science.
A crucial tool for comprehending your surroundings is data science. We can observe and report on a lot of things in the world, but we don't really comprehend what they mean. By giving context that may be utilised to create inferences or develop insights, data science aids in our ability to make sense of observations. You can now take assignment help Online from SourceEssay experts.
Data science is essential for developing models or generating predictions that are beneficial for comprehending cause-and-effect relationships between variables (variables are measurable quantities).

By taking lessons from past experience and applying them to new circumstances, data science aims to provide answers to questions about why things occur and how they interact.

For instance, if a certain marketing campaign you did last year helped your firm develop over time, but this year's sales are slightly down from last year's, you'd need data science tools to figure out what went wrong so you can take action right away to replicate your last year's success.
One of the motivations for choosing a job in data science is to assist others.
Helping people is a terrific approach to use data science. Data science may be applied to better company operations, support education, and combat illness. For instance, it has been applied in medicine to estimate a patient's risk of heart disease depending on their lifestyle. It has also been used to assess instructors' effectiveness in the classroom by looking at the grades of their pupils and other data pertaining to their instructional skills.
Empathy and social responsibility are necessary for data scientists to flourish in this position. They should possess both technical skills, such as coding and data modelling, and strong analytical abilities in order to effectively find solutions to a variety of problems. This will allow them to use these solutions to solve real-world issues that are currently being faced by many different companies around the world.
Examine different positions in Career in Data Science
There is a growing need for experts who can transform raw data into useful insights as data becomes more widely available and more individuals have access to sophisticated computer equipment. This desire has encouraged the expansion of businesses like Google and Facebook that are experts at gathering and analysing massive volumes of data.
Teams of data scientists are employed by these businesses to study this data in addition to internal company data sources like consumer purchase histories or staff performance evaluations.
Conclusion
Data Science is not only a profitable career option, but it's also enjoyable. Although there are many technical difficulties and steep learning curves in the profession, it's vital to keep in mind that data scientists work with more than simply statistics.

In fact, many facets of the profession entail pursuing novel perspectives and discovering fresh angles from which to see the world. Using data science as a tool for social good is an excellent example. In this situation, you'll apply your knowledge of statistics and computer science to assist businesses like Google in solving some of the most pressing issues we face today, like homelessness, climate change, educational disparity, and more!
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