Accelerated Computer Vision: A Free Course From Amazon

Amazon’s Machine Learning University is making its online courses, previously only available to Amazon employees, freely-available to the public.

One of the first such courses made publicly available is Accelerated Computer Vision, a course which describes itself as follows:

This repository contains slides, notebooks, and datasets for the Machine Learning University (MLU) Computer Vision class. Our mission is to make Machine Learning accessible to everyone. We have courses available across many topics of machine learning and believe knowledge of ML can be a key enabler for success. This class is designed to help you get started with Computer Vision, learn about widely used Machine Learning techniques and apply them to real-world problems.

This concise course, taught by Rachel Hu, an applied scientist at AWS Deep Engine Science, is made up of a playlist of video lectures, along with a GitHub repository of course notebooks, slides, and data. The short videos and accompanying courseware material is collected into into 3 overarching lessons, organized as follows:

#overviews #amazon #computer vision #courses #amazon web services

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Accelerated Computer Vision: A Free Course From Amazon

Amazon’s Machine Learning University is making its online courses, previously only available to Amazon employees, freely-available to the public.

One of the first such courses made publicly available is Accelerated Computer Vision, a course which describes itself as follows:

This repository contains slides, notebooks, and datasets for the Machine Learning University (MLU) Computer Vision class. Our mission is to make Machine Learning accessible to everyone. We have courses available across many topics of machine learning and believe knowledge of ML can be a key enabler for success. This class is designed to help you get started with Computer Vision, learn about widely used Machine Learning techniques and apply them to real-world problems.

This concise course, taught by Rachel Hu, an applied scientist at AWS Deep Engine Science, is made up of a playlist of video lectures, along with a GitHub repository of course notebooks, slides, and data. The short videos and accompanying courseware material is collected into into 3 overarching lessons, organized as follows:

#overviews #amazon #computer vision #courses #amazon web services

Accelerated Natural Language Processing A Free Amazon Machine Learning

Amazon’s Machine Learning University is making its online courses, previously only available to Amazon employees, freely-available to the public.

One of the first such courses made available to the masses is Accelerated Natural Language Processing, a practice-oriented offering described thusly:

This content is based on the Machine Learning University (MLU) Accelerated Natural Language Processing class. Our mission is to make Machine Learning accessible to everyone. We believe Machine Learning will be a tool for success for many people in their careers. We teach Machine Learning courses on different topics. This class is designed to help you get started with Natural Language Processing, learn widely used techniques and apply them on real-world problems.

#overviews #amazon #courses #free #machine learning #nlp

Amazon Pay Clone, Amazon Pay Clone Script, Recharge & Wallet App Solution

Mobile wallet applications have become the new trend in today’s world. Apps like Amazon Pay, Paytm, PayPal are some of the leading apps that are owned and used by millions. Be it paying bills, recharging, or money transactions, everything has turned easier because of these apps. There were days when people used to travel for hours to do these tasks have been totally transformed. Moreover, consumers can use these e-wallet apps while paying in a store, either for shopping or while eating out. Thus, as far as mobile wallets are concerned, they are a convenient way for handling all the tasks involving finance.

As an aspiring entrepreneur, if you wish to succeed in your business, without second thoughts, go for Amazon Pay clone app development. Let’s narrow down your thinking processes for a quicker stride forward by analyzing the types of apps first.

Types of e-wallet apps you could develop:

Retail application: An app like Amazon is considered the retail app because it has a mobile wallet in it. It has all the basic functionalities, which helps users to redeem coupons and reward points. All the payment modes are accessible through the app, including net banking.

Dedicated app: The app allows P2P money transactions by storing a variety of cards. You could also make international money transfers using this app. Example: PayPal, Apple Pay, and Amazon Pay.

PoS payments: The PoS payment wallet apps are found at the stores. It is exclusively used by the users to make contactless payments without having to stand in a long queue.

Wrapping up,
Choose the best type of e-wallet app you want to develop and join forces with our Appdupe. Grab the cutting-edge Amazon Pay Clone script and launch an app in a week!

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Empower your e-commerce business by building an app like Amazon

We at Appdupe incorporate the app with the latest techniques to meet the customer market trend. The app is enriched with the highly-advanced and innovative features that help you deliver the best Amazon clone script that helps turn your e-commerce business ideas into reality. We offer a top-notch Amazon clone app development and a ready-made clone application perfect for any business sector. Every feature in it is set to expand your business, which can also be altered with your brand name. By developing an app like Amazon, you can easily reach your customer anytime anywhere that eventually helps increase the business revenue.

Read More, https://www.appdupe.com/amazon-clone

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Amazon Launches Amzon Braket To Boost Quantum Computing Research

Amazon recently announced the launch of Amazon Braket which is a fully managed quantum computing service on AWS to boost research in this space. It aims to provide a user-friendly platform to get started with quantum computers and further explore the field with its potential applications.

Amazon Braket will provide an environment to design quantum algorithms, test them on simulated quantum computers, and run them on different types of quantum computing hardware. It will also provide managed Jupyter notebooks with pre-installed developer tools, sample algorithms, and tutorials to get started.

It will provide researchers access to quantum annealing hardware from D-Wave, and two types of gate-based quantum computers — ion-trap devices from IonQ and systems built on superconducting qubits from Rigetti, to carry their research.

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