[unable to retrieve full-text content]Also: Analyze a Soccer (Football) Game Using #Tensorflow Object Detection; 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning; Timsort – the fastest #sorting #algorithm you’ve never heard of.
Original Post: Top KDnuggets tweets, Jul 4-10: Fantastic notes on the freely available @fastdotai machine learning course
TensorFlow
Analyze a Soccer (Football) Game Using Tensorflow Object Detection and OpenCV
[unable to retrieve full-text content]For the data scientist within you let’s use this opportunity to do some analysis on soccer clips. With the use of deep learning and opencv we can extract interesting insights from video clips
Original Post: Analyze a Soccer (Football) Game Using Tensorflow Object Detection and OpenCV
Inside the Mind of a Neural Network with Interactive Code in Tensorflow
[unable to retrieve full-text content]Understand the inner workings of neural network models as this post covers three related topics: histogram of weights, visualizing the activation of neurons, and interior / integral gradients.
Original Post: Inside the Mind of a Neural Network with Interactive Code in Tensorflow
[ebook] Apache Spark™ Under the Hood
[unable to retrieve full-text content]Learn how to install and run Spark yourself; A summary of Spark core architecture and concepts; Spark powerful language APIs and how you can use them.
Original Post: [ebook] Apache Spark™ Under the Hood
Top 20 Python Libraries for Data Science in 2018
[unable to retrieve full-text content]Our selection actually contains more than 20 libraries, as some of them are alternatives to each other and solve the same problem. Therefore we have grouped them as it’s difficult to distinguish one particular leader at the moment.
Original Post: Top 20 Python Libraries for Data Science in 2018
Top 20 Python Libraries for Data Science in 2018
[unable to retrieve full-text content]Our selection actually contains more than 20 libraries, as some of them are alternatives to each other and solve the same problem. Therefore we have grouped them as it’s difficult to distinguish one particular leader at the moment.
Original Post: Top 20 Python Libraries for Data Science in 2018
The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?
[unable to retrieve full-text content]We find 6 tools form the modern open source Data Science / Machine Learning ecosystem; examine whether Python declared victory over R; and review which tools are most associated with Deep Learning and Big Data.
Original Post: The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?
Deep Learning With Apache Spark: Part 2
[unable to retrieve full-text content]In this article I’ll continue the discussion on Deep Learning with Apache Spark. I will focus entirely on the DL pipelines library and how to use it from scratch.
Original Post: Deep Learning With Apache Spark: Part 2
Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis
[unable to retrieve full-text content]Python continues to eat away at R, RapidMiner gains, SQL is steady, Tensorflow advances pulling along Keras, Hadoop drops, Data Science platforms consolidate, and more.
Original Post: Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis
Top Stories, May 14-20: Data Science vs Machine Learning vs Data Analytics vs Business Analytics; Implement a YOLO Object Detector from Scratch in PyTorch
[unable to retrieve full-text content]Also: An Introduction to Deep Learning for Tabular Data; 9 Must-have skills you need to become a Data Scientist, updated; GANs in TensorFlow from the Command Line: Creating Your First GitHub Project; Complete Guide to Build ConvNet HTTP-Based Application
Original Post: Top Stories, May 14-20: Data Science vs Machine Learning vs Data Analytics vs Business Analytics; Implement a YOLO Object Detector from Scratch in PyTorch