Python continues to take leading positions in solving data science tasks and challenges. Last year we made a blog post overviewing the…

By Pete Warden, Software Engineer

** AI & Deep Learning Using TensorFlow - https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka video will provide you with a detailed and comprehensive knowledge of TensorFlow Object detection and how it works. It will also provide you with…

When you are presented with a new time series forecasting problem, there are many things to consider. The choice that you make directly impacts each step of the project from the design of a test harness to evaluate forecast models to the fundamental difficulty…

Время пополнять копилку хороших русскоязычных докладов по Machine Learning! Копилка сама не пополнится! В этот раз мы познакомимся с увлекательным рассказом Ан...

предыдущие главы 15. Одновременная оценка нескольких идей во время анализа ошибок У вашей команды есть несколько идей, как улучшить определитель кошек в вашем приложении: Решить проблему с тем, что...

You are handed data and told to develop a forecast model.

What do you do?

This is a common situation; far more common than most people think.


Perhaps you are sent a CSV file.

Perhaps you are given access to a database.

Perhaps you are starting…

By Yash Katariya, Developer Programs Engineer Intern

A final machine learning model is one trained on all available data and is then used to make predictions on new data. A problem with most final models is that they suffer variance in their predictions. This means that each time you fit a model, you get a…

Сегодня мы хотим поговорить об интернете вещей (IoT) и о промышленном интернете вещей (IIoT), а также о том, как Splunk связан с этим. Сначала разберемся с о...

Machine learning book which uses a model-based approach.

IMPORTANT: Thank you for all the support for this article! Colab is now supports TPU out of the BOX…

GraphPipe is a protocol and collection of software designed to simplify machine learning model deployment and decouple it from framework-specific model implementations.

Если вы достаточно долго увлекаетесь нейросетевыми технологиями, то наверняка встречались с мнением, кратко заключенным в риторическом вопросе: «Как ты объяснишь человеку, когда нейросеть считает,...

Phrase-Based & Neural Unsupervised Machine Translation - facebookresearch/UnsupervisedMT

Когда-либо слышали о «deepfakes»? ИИ, который накладывает лицо одного человека на тело другого, использовали для замены Харрисона Форда на Николаса Кейджа в бесчисленных видеоклипах, а также и для...

Zillow lists data on 110 Million homes in their living database and 6.3 Billion visits to their site in 2018 per their investor relations.

To become Data Scientists, you should know basics of some common machine learning algorithms, which would help to engage with a new-domain problem.