Tag: Data science
Change data capture with Debezium: A simple how-to
Posted on May 19, 2020, Level intermediate Resource Length long
Eric Deandrea wrote this piece about one question that always comes up as organizations moving towards being cloud-native, twelve-factor, and stateless: How do you get an organization's data to these new applications?
Convolutional neural network implementation for car classification
Posted on May 18, 2020, Level advanced Resource Length long
Convolutional Neural Networks (CNN) are state-of-the-art Neural Network architectures that are primarily used for computer vision tasks. CNN can be applied to a number of different tasks, such as image recognition, object localization, and change detection. By Dr. Evan Eames and Henning Kropp.
The 3 essentials for properly setting up Google Analytics conversion tracking
Posted on May 15, 2020, Level intermediate Resource Length long
We asked 48 experts to share their most useful tips, tricks, and tools for properly setting up and tracking website conversions via Google Analytics. Written by Belynda Cianci.
Tags analytics big-data cio data-science
Agile and Intelligent Locomotion via Deep Reinforcement Learning
Posted on May 8, 2020, Level advanced Resource Length long
Recent advancements in deep reinforcement learning (deep RL) has enabled legged robots to learn many agile skills through automated environment interactions. In the past few years, researchers have greatly improved sample efficiency by using off-policy data, imitating animal behaviors, or performing meta learning. Posted by Yuxiang Yang and Deepali Jain, AI Residents, Robotics at Google.
How open-source medicine could prepare us for the next pandemic
Posted on May 3, 2020, Level beginner Resource Length long
The old drug discovery system was built to benefit shareholders, not patients. But a new, Linux-like platform could transform the way medicine is developed—and energize the race against COVID-19. By Ruth Reader, writer for Fast Company.
How to use Roam Research: a tool for metacognition
Posted on April 24, 2020, Level beginner Resource Length long
A few weeks ago I discovered Roam which brands itself as "a note-taking tool for networked thought." Let's have a look at how to use Roam Research to achieve your personal growth goals. Written by Anne-Laure Le Cunff.
Google engineers 'mutate' AI to make it evolve systems faster than we can code them
Posted on April 23, 2020, Level beginner Resource Length short
Much of the work undertaken by artificial intelligence involves a training process known as machine learning, where AI gets better at a task such as recognising a cat or mapping a route the more it does it. Now that same technique is being use to create new AI systems, without any human intervention. By David Nield.
Track, Store and Analyze granular Page Performance data: a practical guide
Posted on April 18, 2020, Level beginner Resource Length medium
In this post, author guides you through all steps needed to collect, process, and analyse the Navigation Timing results of all your web site visitor's page views. Written by Jules Stuifbergen.
Extracting data from various sheets with Python
Posted on April 12, 2020, Level beginner Resource Length medium
How to learn to unify Google Sheets, Excel, and CSV files -- a code-along guide. By Fabian Bosler.
Building data pipeline 101
Posted on April 11, 2020, Level beginner Resource Length medium
Haridas N is author of this article about data pipelines and how machine learning (ML) helps businesses manage, analyze, and use data more effectively than ever before.
Autoencoders with Keras, TensorFlow, and Deep Learning
Posted on April 10, 2020, Level advanced Resource Length medium
In this tutorial, you will learn how to implement and train autoencoders using Keras, TensorFlow, and Deep Learning. Author discusses what autoencoders are, including how convolutional autoencoders can be applied to image data. Also more about the difference between autoencoders and other generative models, such as Generative Adversarial Networks (GANs). By Adrian Rosebrock.
Lessons learned from deploying a machine learning model
Posted on February 26, 2020, Level intermediate Resource Length medium
More than half a million calls go through the Talkdesk systems every day. For our clients, especially larger contact centers, it can be difficult to understand and monitor everything happening due to the amount of structured and unstructured data and the high pace at which they originate. Our main goal is to make their job easier by providing insightful dashboards about calls and the overall call center performance. By Henrique Carlos.
Tags big-data data-science