Time series are ubiquitous in real-world applications, but often add considerable complications to data science workflows. What’s more, most available machine learning toolboxes (e.g. scikit-learn) are limited to the tabular setting, and cannot easily be applied to time series data.

In this tutorial, you’ll learn how to apply common machine learning techniques to time series and how to extend available toolkits. This is a beginner-friendly tutorial: we assume familiarity with scikit-learn, but no prior experience with time series.

To start, you’ll learn how to distinguish between different kinds of temporal data and associated learning tasks, such as forecasting and time series classification. You’ll then learn how to solve these tasks with machine learning techniques specific to time series data. 

Here’s an interesting use of AI in public safety.

Hongik University’s Professor Lee and his students used AI to develop a new model that can predict the probability of fires. Nothing is more associated with death and destruction than fire. It can produce a primal fear in all of us. So, when a university professor in Seoul, South […]

In this video Krish Naik discusses common myths vs. the realities around the field of Data Science.

Time stamps:

  • 00:37 You need to have a PHD or Masters Degree
  • 01:59 You need a Data Science Certification To Become Data Scientist
  • 03:45 Your Previous Work Experience Is Not Important
  • 05:21 You need to be from Computer Science/ Stats or Programming Background
  • 06:45 Data Science Is All About Model Building
  • 08:20 Kaggle, Hackathon And Real World Projects Are Same
  • 10:03 Most of the time of the project is invested In Model building
  • 11:12 You need to be very good at Coding to get into Data Science
  • 13:04 Freshers can’t get AI jobs
  • 15:45 Final Suggestion From Myside

Simplilearn explains OOP in the context of Python.

Python is an Object Oriented Programming language that allows you to create different classes and objects. This Python Classes and Objects tutorial will help you understand a class in Python and how to use Python classes. You will get an idea about an object in Python, how to declare and use objects in Python, and perform a simple demo.

Are you looking for inspiration for how technology can do amazing things in the world?

Then check this out:

We have an amazing episode where Dona and Sarah are joined by the Microsoft Trainees Geoff, Chris, Sarah, Ally, Hannah, and their team leader TJ. This team were confronted with an issue they were all very passionate about and grouped together to see what they could do. In this episode, the team share how they used multiple areas of the Power Platform to bring together a solution which has been deployed and is being used RIGHT NOW to support homeless people find shelter during COVID19.

Go on a tour of Windows Virtual Desktop (WVD) led by Microsoft Mechanics , and see all the latest updates.

If you’re new to WVD, it’s a desktop and app virtualization service hosted in Azure, and it’s more popular than ever with the global acceleration of people working remotely. Kam VedBrat, Partner Group Program Manager for Windows Virtual Desktop, joins host Jeremy Chapman to show how they’ve been accelerating efforts to improve elasticity, simplify deployment and management, and optimize latency for customers all over the world.

QUICK LINKS:

  • 00:00 – Introduction
  • 00:17 – WVD Progress
  • 02:12 – Microsoft Teams A/V redirect
  • 03:07 – QuickStart
  • 04:07 – Service Monitoring
  • 05:49 – Policy Management
  • 07:18 – MSIX App Attach
  • 09:04 – How to Lower Costs

AI chipmaker Hailo announced today the launch of its M.2 and Mini PCIe high-performance AI acceleration modules for empowering edge devices.

Integrating the Hailo-8TM processor, the modules can be plugged into a variety of edge devices to provide superior AI capabilities for smart cities, smart retail, industry 4.0, smart homes and other fields.

The plug-in solutions come at a time when industries are increasingly utilizing edge devices that are both high-performing and cost-effective. For example, fanless AI edge boxes are in high demand as they allow many cameras or sensors to be connected to a single intelligent processing device in outdoor deployment. Hailo’s modules – with their high-performing Hailo-8 AI processor delivering 26 Tera-Operations Per Second (TOPS) and high-power efficiency of 3 TOPS/W – can be plugged into any existing edge device with the appropriate M.2 or Mini PCIe sockets, delivering unprecedented performance while reducing latency and improving privacy, the company said.

Erich Robinson-Tillenburg joins Scott Hanselman to demo and explain health monitoring and configuration analysis for Azure Load Balancer using Azure Monitor for Networks, a central hub that provides access to health and connectivity monitoring for all your network resources.     

Index:

  • [0:00:00]– Overview
  • [0:01:16]– Load Balancer insights
  • [0:04:00]– Visualize functional dependencies
  • [0:06:20]– Exploring the Metrics dashboard
  • [0:10:58]– Flow Distribution Help
  • [0:11:57]– Network Connectivity Monitoring
  • [0:13:18]– Azure Monitor for Networks hub
  • [0:14:12]– Wrap-up

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