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iot

LoveRPi Raspberry Pi 3 Plug and Play Starter Kit

By | iot, machinelearning

The Raspberry Pi 3 Model B is the latest Raspberry Pi Foundation single board computer with a quad core 64 bit ARMv8 CPU operating at 1.2GHz. It is almost twice as fast as the outgoing Raspberry Pi 2 Model B in many benchmarks.

With the increased performance comes higher power consumption and heat which is why we have paired it with our exclusive heatsink set. This kit will reduce hot spot temperatures by up to 20C and increase the stability of the Raspberry Pi 3 under full CPU load.

Whats included:

  • – Raspberry Pi 3 Model B Single Board Computer
  • – LoveRPi 8GB MicroSD Card with SD Adapter and Holder
  • – LoveRPi 2.5A MicroUSB Power Adapter
  • – LoveRPi 10 mm CPU Heatsink with 3M Double-Sided Thermal Adhesive
  • – LoveRPi 5 mm LAN Heatsink with 3M Double-Sided Thermal Adhesive
  • – LoveRPi 3 Feet Slim Ultra-HD 4K HDMI 2.0 Cable
  • – Element14 Quick Start Guide – Element14 Retail Box
  • – LoveRPi Troubleshoot Sheet

Please note, this Micro SD card will show up as 56MB in Windows because the Linux partition is hidden by Windows. Only the first partition shows up in Windows unless you view the SD card through Disk Management utility (diskmgmt.msc).

The Raspberry Pi 3 Model B will consume around 1A of current by itself. Secondary accessories can drive up current consumption to 2.5A. Do not drive 2.5A current for prolonged durations as it will shorten the lifetime of the board components.

Raspberry Pi is a registered trademark of the Raspberry Pi Foundation. Element 14 is a registered trademark of Premier Farnell. LoveRPi does not represent Raspberry Pi Foundation, Premier Farnell, or 3M.

RASPBERRY PI 3 MODEL B: Single Board Computer with 1.2GHz Quad Core ARM Cortex-A53, 1GB LPDDR2 RAM, Broadcom VideoCore IV GPU, 4 Full Size USB Ports (Shared Bandwidth), 10/100 Mb Ethernet Port, HDMI 1.3 Port, 3.5mm AV Port (Composite Video Out + Stereo Out), MicroSDHC Slot, MIPI CSI Connector for Cameras, MIPI DSI Connector for Displays, 40 Pin GPIO Header, MicroUSB Power Connector
PREVENT THROTTLING WITH HEATSINKS: Tailored Performance Heatsink Set with 10mm Straight Fin High Profile CPU Heatsink and 5mm LAN Heatsink with 3M Thermal Adhesive Tape
MAXIMUM POWER: 5V 2.5A MicroUSB Power Adapter for getting the most from your devices and accessories
LATEST SOFTWARE: 8GB MicroSD Card Optimized for the Raspberry Pi 3 and Flashed with the Latest Raspbian OS
PLUG AND PLAY: Everything you need to get up and running is included! No guess work, flashing, and wasting time. Jump right into Raspbian to play and learn!

$49.99



How Big data & AI are Improving Internet Marketing

By | iot


Big data is touching our lives in numerous ways. By the year 2020, nearly 1.7 trillion megabytes of new information will be generated every second. The big data revolution is playing a tremendous role in the future of online marketing as well.

Here are some ways big data is a boon for the Internet marketing profession.

More Granular Approach to Optimization

Whether companies are trying to generate leads, boost Facebook or Instagram likes or focus on direct selling, they need to collect plenty of data to optimize their campaigns. Creating successful online marketing campaigns requires extensive testing and optimization. The more variables you track, the easier it is to improve your campaigns.

Before major advances in server technology and cloud computing, brands had to restrict the data they monitored, which limited their ability to optimize their campaigns. Today, big data allows them to retain much more extensive records of their marketing campaigns, which makes optimizing campaigns easier than ever.

Provide Better Targeting

Every experienced marketer agrees that targeting is the most important part of online marketing. Targeting your ads to the right users has a greater impact on your ROI than your landing pages, ads, day parting and virtually every other variable you can picture.

Big data …

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How Is Big Data Changing Supply Chain Management

By | iot


In the last couple of years, big data technology was implemented in many different industries. Big data innovations have uplifted the business process to another level by introducing more predictability and by automating the decision making-process. Implementation of big data into the supply chain management has shown similar results. The use of big data technology has enabled companies to react faster to the changes within their supply chain and to drastically improve customer experience. In this article, we’re going to analyze some of the new supply trends that are directly connected with the big data technology implementation.

Real-time tracking

Today, every modern retail company offers a real-time tracking feature. Time tracking data can also be used as a basis for the innovation of the supply chain, especially when it’s combined with the data coming from the social sources, like eCommerce analytics, social networks, news, weather, etc. Big data allows companies to plan their future inventory and supply routes in real time, without relying on historical data. This functionality is very important for the accuracy of the eCommerce logistics process.

The biggest couriers have already replaced the outdated ERP tracking technology with the Internet of Things sensors, which can follow the whole shipment process …

Read More on Datafloq

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TensorFlow Machine Learning Cookbook

By | iot, machinelearning

Key Features

  • Your quick guide to implementing TensorFlow in your day-to-day machine learning activities
  • Learn advanced techniques that bring more accuracy and speed to machine learning
  • Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlow

Book Description

TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You’ll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning – each using Google’s machine learning library TensorFlow.

This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP.

Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production.

What you will learn

  • Become familiar with the basics of the TensorFlow machine learning library
  • Get to know Linear Regression techniques with TensorFlow
  • Learn SVMs with hands-on recipes
  • Implement neural networks and improve predictions
  • Apply NLP and sentiment analysis to your data
  • Master CNN and RNN through practical recipes
  • Take TensorFlow into production

About the Author

Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar’s Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John’s University.

He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his blog, http://fromdata.org/, or through his Twitter account, @nfmcclure.

Table of Contents

  1. Getting Started with TensorFlow
  2. The TensorFlow Way
  3. Linear Regression
  4. Support Vector Machines
  5. Nearest Neighbor Methods
  6. Neural Networks
  7. Natural Language Processing
  8. Convolutional Neural Networks
  9. Recurrent Neural Networks
  10. Taking TensorFlow to Production
  11. More with TensorFlow

$49.52



What is the Daptly Display?

By | iot

It is a smart, gesture and voice controlled display that manages your life and seamlessly blends beauty and technology into your home or office.

Personal Assistants are seeing increased adoption…

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