Data Science Digest (May 2019)

Habr, hello!

In the last issue, I told that I launched the Telegram channel for the digest , and today I want to share the news that I also got facebook , twitter , LinkedIn pages for it . I invite everyone to join them.

In addition, today we published a digest on Product Hunt , who knows that these are the ones who know what needs to be done;)

In the meantime, I offer a fresh selection of materials under the cat.

Articles

• Benchmarking Edge Computing - Comparison of single-board ML computers like the Coral Dev Board, NVIDIA Jetson Nano, Coral USB Accelerator, Movidus Neural Compute Stick, and Intel Neural Compute Stick 2.
• The Google Coral Edge TPU Board Vs NVIDIA Jetson Nano Dev board  is another comparison of two single-board computers.
• Getting started with the NVIDIA Jetson Nano - a detailed guide to getting started with NVIDIA Jetson Nano: from the first run to using it to classify and discover objects.
• Object detection and image classification with Google Coral USB Accelerator - article on how to use Google Coral USB Accelerator to classify and detect objects in images or in video.
• Random Forests for Complete Beginners is a good newbie article about random forests and decision trees.
• Introducing d3-regression - the basics of working with d3-regression - D3.js module for calculating statistical regressions from two-dimensional data.
• An End-to-End Project on Time Series Analysis and Forecasting with Python is about how to use time series for non-stationary data, such as economic data, weather, stock prices and retail sales. Various approaches to forecasting retail sales using time series are considered.
• Using Reinforcement Learning to Design a Better Rocket Engine - Learn how reinforcement learning is used in rocket engine design.
• Top 5 Interesting Applications of GANs for Every Machine Learning Enthusiast - an overview of five popular GAN use cases that are widespread in the industry: GAN for image editing, use of GAN for security, data generation using GAN, GAN for predicting attention, GAN for generating 3D -objects.
• A Recommendation Model with PyTorch - what is probabilistic matrix factorization and how it can be used for recommendation systems.
• Easy Image Classification with TensorFlow 2.0 - Get to know TensorFlow 2.0 and use it in the classic image classification.
• Bayes Theorem in One Picture
• Advanced Keras - Constructing Complex Custom Losses and Metrics - on how to create custom loss functions in Keras that can receive arguments other than y_true and y_pred.
• Best of arXiv.org for AI, Machine Learning, and Deep Learning - March 2019 - the best arXiv.org articles for March according to the insideBIGDATA website.

Project

• Fast Neural Style Transfer in PyTorch
• CariGANs: Unpaired Photo-to-Caricature Translation

Datasets

• MRNet Dataset
• A Repository of Conversational Datasets

Books

• Interactive web-based data visualization with R, plotly, and shiny
• Forecasting: Principles and Practice

Conferences

• Deep Learning Summit London - September 19-20, 2019 (Promo code for 20% discount - DSD)

Thank you for reading this issue. I hope everyone found something useful for themselves. I would be grateful for any suggestions for the next digest.

← Previous release: Data Science Digest (April 2019)