#datascientist

MOST RECENT

#INPTSuccessStories - Des Parcours d'Excellence qui font la fierté de l'#INPT ✳️ Redouane Sassioui (Lauréat 2013) ✳️
🔖 Consultant Data Scientist chez BCEE Luxembourg et Associé de Recherche à l’Université de Luxembourg ➡️ Découvrez son parcours ! 😉 ✨ Diplômé de l’Institut National des Postes et Télécommunications (INPT) en 2013, Redouane a choisi de poursuivre ses études à un master (MSc) à l’Institut National de la Recherche Scientifique (INRS) de l’Université du Québec où il a évolué également en tant qu’Assistant à la Recherche. En 2015, il a rejoint les équipes de l’Université du Québec à Montréal (UQAM) pour assurer des missions de Data Scientist.

Cette orientation lui permet de consolider sa spécialisation en Data Science notamment en intégrant, en 2017, l’entreprise Motion-S au Luxembourg. ✨ En suivant la même voie, Redouane opte ensuite pour un double parcours professionnel en Recherche et en Entreprise à travers sa mission actuelle à l’Université de Luxembourg en tant que Data Scientist et Associé de Recherche et également son intégration de l’équipe des consultant en Data Science à la banque BCEE Luxembourg.

#INPTAlumni #LauréatsINPT #PartenairesINPT
#DataScience #Data #DataScientist

Machine Learning Data Scientist (KTP Associate)

University of Essex / Cognitran Ltd
Location 🌍 Chelmsford, Essex, United Kingdom
Duration 📅 3 years
Closing date ⚡️ 30 July 2018

Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations.

The University of Essex in partnership with Cognitran Ltd offers an exciting opportunity to a graduate to utilise machine learning to analyse vehicle data and provide automotive OEMs with tools to predict failures and facilitate faster repairs, leading to cost savings and improved customer satisfaction.

Qualifications

BSc or equivalent first degree in Computer Science, AI or a related discipline. ✔️Good theoretical and applied knowledge of techniques in machine learning, e.g. collaborative filters, context-aware collaborative filters or recommender systems. ✔️Experience of working with structured and unstructured data. ✔️Demonstrable proficiency in general purpose programming languages such as Python, Java or C#

Vacancy link 🔗 can be found on our Facebook page.

ℹ There are more than 200,000 academic & industry jobs worldwide on www.all-acad.jobs. No registration or subscription fees required - access to all vacancies is free.

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Our Summer Program has officially transitioned from a training opportunity to a community. #SumProg18 #Forever

Data, kini menjadi komoditas yang penting untuk bisnis.
Ada 5 tips yang bisa kamu jadikan untuk memaksimalkan potensi data bagi bisnis Kamu.

Selengkapnya di https://goo.gl/y5dHYR
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Your abilities, habits, self discipline, success all ruled by your self image. Who do you see when you look in the mirror? Are you the best in your industry? Define your self image and everything else will follow effortlessly. #itguy #itgirl #startup #developers #entrepreneur #engineers #Designer #success #me #self #webdesign #dba #datascientist #fitness #lifelessons #willpower

Penelitian mengatakan bahwa satu tahun bekerja, rasa nyaman Anda hanya 1% di kantor tersebut. Dua tahun bekerja, rasa nyaman Anda meningkat menjadi 25%. Dan di tahun ketiga, rasa nyaman Anda sudah mendekati 40%.
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Mungkin saat ini Anda sudah terlalu nyaman..
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Sudah saatnya Anda mengambil tantangan dan peluang kerja yang baru 😊
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Daftar sekarang juga di ekrut.com atau klik link di bio untuk masuk ke marketplace kami!
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#100daysofcode day 10/100
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⚡The tf.Session.run method is the main mechanism for running a tf.Operation or evaluating a tf.Tensor. -
⚡You can pass one or more tf.Operation or tf.Tensor objects to tf.Session.run, and TensorFlow will execute the operations that are needed to compute the result.
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⚡tf.Session.run can take a dictionary of feeds, which is a mapping from tf.Tensor objects (typically tf.placeholder tensors) to values (typically Python scalars, lists, or NumPy arrays) that will be substituted for those tensors in the execution. -
⚡🔥 This is my journey in the 100 days of code challenge
Any questions and feedbacks, put in comments.
Likes will be welcome.
I will share the code in my github profile:
www.github.com/wesinalves
visit: www.inovadordigital.com
follow: @wesinalves

#programming #coding #python #tensorflow #100daysofmlcode #100daysoftfcode #100daysofdlcode #everybodycodenow #codeisgood #deeplearning #machinelearning #artificialintelligence #datascientist

The life and times of NELSON ROLHILAHLA MANDELA is a reflection of everything that is great about HUMANITY.
An epitome of love, persistence and determination.

A mirror of strong beliefs and it's reward.

We will forever celebrate and be thankful for the life and times of this icon of greatness.
#WorldNelsonMandelaDay
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#Data #Analytics #DataScience #AI #BusinessIntelligence #Data #DataAnalytics #DataScientist #AI #ANewExperience #TemplecomGroup #BusinessExperience #MarketLeaders #Data #BusinessIntelligence #Analytics #Software #ArtificialIntelligence #MachineLearning #TemplecomGlobal #DataScience #dataanalysis #bigdata #bigdata

👩‍💻Digitalisation is disrupting all areas of industry👨‍💻
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The role of #datascientist will only grow in demand.
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If you aren’t currently in possession of the skills to get involved, then never fear! There are other ways to get a foot in the door! .
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