PyTorch for 3D data

https://github.com/facebookresearch/pytorch3d
Там 3д пайторч выпустили

Position: Junior Data Scientist
Company: 1touch.io
Location: Kyiv, Ukraine
Estimated salary: $1000-1500

We are looking for a junior data scientist who’s willing to participate in the development of an AI module, which is responsible for end-to-end processing of any kind of text data, which comes to the application. You will join a team of talented people who work collaboratively between developers, quality engineers, product managers, DevOps and usability experts to make our products leaders in the international market

Role description:
As part of your role you will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Responsibilities:
research of latest advances in the sphere of NLP to continuously deliver new approaches and support existing pipelines;
integration testing, unit testing and benchmarking the code;
assistance with the all of the steps of ML cycle: feature engineering, model development, model training, model evaluation and prediction, pipeline integration and deployment;
performing of all of the data preprocessing steps: data fetching, data preprocessing, data labeling and cleaning;
assistance with creation of Docker containers, Gitlab CI, etc.;
development and support of rule-based structured data processing system;
creation of basic documentation for the repo.

Requirement & skills:
proficiency with Python 3.x;
basic knowledge of tensorflow/pytorch, gensim, scikit-learn, keras, spacy, numpy, and similar ML libraries;
basic understanding of how message brokers, CI pipelines, shell scripting work;
basic understanding of statistics and probability theory;
basic understanding and experience of implementation of basic NLP approaches;
strong understanding of business requirements;
desire to participate in end-to-end delivery cycle, which includes both high-level and low-level tasks (e.g. regexes development and data labeling);
experience with deep learning
A sharp eye for detail, research skills and the ability to work under strict deadlines;
Ability to communicate with other team members in English;

Nice to have:
basic knowledge of Java;
experience with Docker containers and services;
advanced English knowledge;
Benefits
Comfortable offices in city center
Friendly and highly professional atmosphere, laptop or workstation, corporate events
Benefits package including competitive salary, medical insurance, bonuses and annual salary reviews
Paid 14 sick leaves,20 vacations and national holidays
Great opportunities for professional growth and advancement
Reimbursement for transportation expenses for out of town employees, parking place as an option
Comfortable office facilities (kitchens, coffee/tea points, etc.)

Quantum computing sandbox. Parallel your research on the quantum processing unit: https://quantum-computing.ibm.com/

https://ai.googleblog.com/2020/03/announcing-tensorflow-quantum-open.html - Quantum Machine Learning with TesnsorFlow? Sounds like Cyberpunk? Let's take a look

TensorFlow Quantum: a framework for Quantum Machine Learning (whitepaper)

https://youtu.be/-ZNEzzDcllU Google's Quantum Supremacy

You don't know how to spend your quarantine time and you're a complete beginner? Here are top 5 free courses list:
1. mlcourse.ai
2. course18.fast.ai/ml
3. dlcourse.ai
4. kaggle.com/learn/overview
5. course.fast.ai

Neurobiology and AI online meetings. Spike neurons, dendritic modelling and the cutting edge of Neuroscience and AI:
https://neuromatch.io/agenda/

A list of helpful docker containers for deploying Machine Learning projects: https://hub.docker.com/r/chansonz/ml_dev_env https://hub.docker.com/r/jupyter/datascience-notebook https://hub.docker.com/r/tensorflow/tensorflow https://hub.docker.com/r/pytorch/pytorch

Меня просили спалить годноту по терверу и матстату, итак тервер.

#statistics #матстат

Крутейший прикладной матстат, с кучей мат оптимизаций и подходов(в том числе и эвристических), разные лайфхаки и тонкости) Читать после освоения базы по терверу и матстату

#матстат #статистика #statistics

Stanford University has finally uploaded New Lectures on Machine Learning Course by Andrew Ng on YouTube:

https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU #stanforduniversity #AndrewNg

тут курсы уку бесплатные подвезли

не думала что доживу до такого

начался плотный онлайн курс от Neuromatch

https://www.youtube.com/channel/UC4LoD4yNBuLKQwDOV6t-KPw

https://www.neuromatchacademy.org/syllabus/

Machine learning deployment tools
https://www.mlflow.org/docs/latest/projects.html https://www.kubeflow.org

https://youtu.be/uDeQMpJ9yfY
Немного оффтоп, но очень важная тема для каждого человека, особенно для студентов. Тут очень грамотный и глубокий взгляд на универы от нашего коллеги из США. Автор делится мнением как надувался пузырь высшего образования