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Japan Bullet Train


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#Pallikaranai #Wetland #Tamilnadugovernment #ecopark #marshland #chennai #Eco #Kids #PallikaranaiSwampEcologicalPark #பள்ளிக்கரணை #MKStalin #pallikaranaiechopark #birdswatchers #photographers


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#HiddenBox,#internship,#research,#canada,#canadaInternship,#mitacs,#mitacsglobal,#internationalinternship,#researchinternship #researchintern #canadainternship



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The Applications are now open to apply for the Mitacs Global Research Internship in Canada 2022. A Fully Funded Summer Internship in Canada For International Students to Spend their Summer in Canadian Universities under the Supervisor. This is a 12 Week of Paid Internships in Canada For International Students. All the Expenses will be covered under this Internship Program. The Internship is Available in More than 70 Universities in Canada.

The 12 Week Mitacs Global Research Internship is consist of a variety of academic disciplines, from Science, Engineering, and Mathematics to the Humanities and Social Sciences. The Undergraduate, Master, and PhD Degree Students can apply. Both Male and Female Participants can apply. The Duration of the Internship is 12 weeks.

This is a Summer Internship Program. You will Spend Your Summer in Canada. From May to October of Each Year. All-Academic Disciplines are Eligible. Mitacs Globalink Research Internships can offer you an international experience like no other. There are Many Opportunities available in Canada for International Students Like Study and Work in Canada Without IELTS. The Full Detailed Information about the Global Research Summer Internship in Canada is given below.

Details About Mitacs Global Research Internship in Canada 

Country: Canada 

Internship For: Bachelors, Masters, PhD Financial 

Coverage: Fully Funded 

Deadline: 22nd September 2021



Deadline The Last Date to Apply for the Mitacs Global Research Internship in Canada 2022 is 22nd September 2021



Website Link: https://www.mitacs.ca/en/programs/globalink/globalink-research-internship?utm_source=call&utm_medium=email&utm_campaign=GRIStudentCall-2022-InternationalFundingPartners



TAGS : mitacs globalink research internship, mitacs globalink stipend, mitacs globalink 2021, mitacs globalink mentor mitacs internship 2021, mitacs globalink research internship, mitacs globalink canada internship international students, international summer internship 2021


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Data-Centric AI Competition | From Model-centric to Data-centric AI | Andrew NG urges data-centric

A collaboration between DeepLearning.AI and Landing AI, the Data-Centric AI Competition aims to elevate data-centric approaches to improving the performance of machine learning models.

In most machine learning competitions, you are asked to build a high-performance model given a fixed dataset. However, machine learning has matured to the point that high-performance model architectures are widely available, while approaches to engineering datasets have lagged. The Data-Centric AI Competition inverts the traditional format and instead asks you to improve a dataset given a fixed model. We will provide you with a dataset to improve by applying data-centric techniques such as fixing incorrect labels, adding examples that represent edge cases, apply data augmentation, etc.

Contestants must submit their altered dataset for evaluation by September 4, 2021. 6PM PT (We picked this date because it is the birthday of John McCarthy, who had coined the term artificial intelligence!) The top three winners from each of the two categories (Best Performance Overall and Most Innovative) will be invited to a private event with Andrew Ng to share ideas about how to grow the data-centric movement and will be highlighted in The Batch and other DeepLearning.AI and Landing AI channels.

A machine learning competition that wants to break the traditional codes. This challenge was proposed by landing AI and Deep learning.AI to reverse the traditional format of ML where the participants are asked to create the high-performance model from a fixed dataset. Participants need to improve the dataset based on the model already proposed. A dataset will be provided to developers and they will have to enrich it by applying data-centric techniques.


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Kaggle is one of the best resources out in the internet to learn and practice Data Science and Machine Learning! Kaggle recently announced 30 days of ML Challenge. If you are interested to learn ML/DS, you should sign up for this!  

Link: https://www.kaggle.com/thirty-days-of-ml



#HiddenBox,#Kaggle,#machinelearning,#datascience,#ml,#learn,#course,#dataset,#kagglechallenge,#CodingBuddies


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