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CENTER OF EXCELLENCES FOR AIRCRAFT MAINTENANCE


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Yang menentukan anda diterima di Fakultas Teknik Universitas Nurtanio Bandung adalah hasil tes dalam seleksi penerimaan Mahasiswa baru Fakultas Teknik Universitas Nurtanio Bandung, pihak Universitas tidak bertanggung jawab atas kejadian tersebut. Begitu pula diharapkan calon mahasiswa/ orang tua/ wali untuk tidak menghubungi staff/ karyawan Universitas Nurtanio Bandung agar dapat diterima. Segala biaya yang telah dibayarkan tidak dapat ditarik kembali dengan alasan apapun.


PENGUMUMAN

Pengumuman Kelulusan PMB Gelombang II T.A. 2018/2019 - KLIK DISINI !!!

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Aktivasi Pendaftaran Mahasiswa Baru Online TA. 2018/2019 - KLIK DISINI !!!


Sehubungan dengan perlunya penukaran bukti pembayaran uang kuliah diluar SPC (Student Payment Center), transfer ATM Non BNI dan transfer ATM Non KTM BNI. Untuk mempermudah mahasiswa/i dalam penukaran, maka penukaran bisa dilakukan dengan cara mengirimkan foto bukti pembayaran ke :
1. Email : keuanganunnur@gmail.com
2. Whatsapp : 0882-1837-5434
3. Line : keuanganunnur
4. BBM : 5F07665E

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Software Engineer (Intern) - Data Engineering (Machine Learning) - San Francisco - Coinbase
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Software Engineer (Intern) - Data Engineering (Machine Learning)

San Francisco

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Software Engineer (Intern) - Data Engineering (Machine Learning)
San Francisco

Data Engineer Intern (Machine Learning)

Our vision is to bring more innovation, efficiency, and equality of opportunity to the world by creating an open financial system. Our first step on that journey is making digital currency accessible and approachable for everyone.

Two principles guide our efforts. First, be the most trusted company in our domain. Second, create user-focused products that are easier and more delightful to use than any alternative. Those principles guide every decision across the company from design through engineering, from operations through security.

Digital currency is fungible, instantly transferable and irreversible. This attracts sophisticated bad-actors. First, fraudsters use stolen bank accounts or cards to try to buy digital currency and immediately move it to a private wallet that’s only in their control. Second, hackers target Coinbase user accounts in an attempt to drain their balance. We’ve been able to stay ahead of bad actors via a combination of machine learning, data-driven rules based systems and anti-fraud analysts. To learn more check out slides and video for a talk on this topic at Websummit 2016.

Responsibilities

  • Use machine learning to solve one of the hardest payment fraud and user security problems in the world 

Requirements

  • Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder
  • Experience with building and deploying machine learning models in a real product setting with demonstrated lifts in a metric
  • Experience with one of the ML platforms: Python / scikit-learn, Spark, vowpal wabbit, etc
  • Deep understanding of internals at least one ML algorithm
  • Experience working with the following ML algorithms: Logistic Regression, Random forests, k-means

Preferred 

  • Experience working with some of the following ML algorithms: xgboost, spectral clustering, association rule mining, deep learning algorithms

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 



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