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Advantages And Disadvantages Of Flutter App Development

There is overwhelming attention to Flutter, a relatively new programming language that has already received a lot of positive feedback. Does Flutter suit every app? What are the advantages and disadvantages of Flutter? What does it offer for product owners, end-users and software developers?

This flutter review tells about what Flutter does, what you can do with Flutter, how big is the Flutter community and…

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Added by Mariana Muzyka on July 30, 2020 at 9:30am — No Comments

5 Ways AI Voice Synthesis Will Change Our Lives

Researchers use generative adversarial networks (GANs) and other machine learning techniques to manipulate audio and visual scenes that may result in deepfake videos. In principle, with sufficient training data, AI voice synthesis can generate voice skins for anybody. It’s crucial that you do not embrace the perspective that deception is the main point of voice-modeling technologies. It isn’t, and we’ve discussed…

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Added by Andra Postolache on July 30, 2020 at 5:00am — No Comments

Why do some traditional engineers not trust Data Science?

Introduction

I had this conversation some time ago with an Engineer who came from a traditional background.

By that I mean, he had been in the same industry (heavy engineering) for 30 years.

Of these, he had been in the same company for 25 years (and this was his second job).

 

After understanding from me about data science, he said that as an engineer, he did…

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Added by ajit jaokar on July 30, 2020 at 3:00am — No Comments

How Milvus Implements Dynamic Data Update and Query

Milvus is an open-source vector similarity search engine powered by approximate nearest neighbor search (ANNS) algorithms such as Faiss, NMSLIB, and Annoy. 

To make a vector search more intuitive and easy to use, we introduced TableFile and metadata in Milvus.

In this article, we will mainly describe how vector data are recorded in the memory of Milvus, and how these records are maintained.

Below are our main design goals:

  1. The efficiency of data…
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Added by Kate Shao on July 29, 2020 at 10:32pm — No Comments

How does the Automated Valuation Model work in the real estate industry?

If you were to invest in real estate, what would be the most important factor you’d take into account? Would it be the age of the building, its location, or maybe how many owners it previously had?

While all of the above will certainly be important to you (though to varying extents), there’s one universal factor that will either be a deal-breaker or make you want to go all in.

You’ve guessed it — the price.

We all have a rough overview of…

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Added by Mario Inter on July 29, 2020 at 1:42am — No Comments

E-Commerce: The Many Ways in Which IoT Impacts it

eCommerce is an integral part of retail for human existence today – thanks to technology. It has played a critical role in e-commerce’s journey thus far and will continue to do so for the foreseeable future. And in the more recent context, there’s one in particular that has proven to be of special interest in the world of e-commerce: Internet of Things. It is because of the peculiar ability of IoT enabled devices to exchange and share data with other devices in the…

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Added by Ryan Williamson on July 28, 2020 at 9:14pm — No Comments

China’s Quest for AI Dominance – And How It’s Going

Summary:  An update and observations about China’s plan to become the world leader in AI. 

 

 

Whether you get your news from Facebook or from the Wall Street Journal you can’t help having heard that China is out to displace the US as the world leader in AI.  Variously you may have heard that…

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Added by William Vorhies on July 28, 2020 at 8:32am — No Comments

Machine Learning with TensorFlow for Absolute Beginners - Part 1

"If you want to learn something well, explain it."

Richard Feynman

What is TensorFlow?

Let's look it up on the TensorFlow.org page: "It's an end-to-end open-source machine learning platform for everyone." When TensorFlow version 2.0 came out in 2019, it was praised as a significant step towards the democratization of AI: "Now anyone can get their hands on the steering wheel!" When we sat down together to draft this article…

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Added by Rafael Knuth on July 28, 2020 at 8:30am — No Comments

Artificial Intelligence: Does it Impact Online Proctoring?

At this point, everyone knows that artificial intelligence is all around us, even though we may not realize it. Take your mobile phones, for example — a smart assistant? Yeah, that is powered by artificial intelligence. But this is a rather simple example of the many ways in which AI can be applied in the world. To understand it better, think about online examinations for a moment; while proctoring during in-person exams is quite a simple process, how does one go about it with online…

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Added by Ryan Williamson on July 28, 2020 at 12:18am — No Comments

Introduction to Dropout to regularize Deep Neural Network

Dropout means to drop out units which are covered up and noticeable in a neural network. Dropout is a staggeringly in vogue method to overcome overfitting in neural networks.

Deep Learning framework is now getting further and more profound. With these bigger networks, we can accomplish better prediction exactness. However, this was not the case a few years ago. Deep…

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Added by saurav singla on July 28, 2020 at 12:12am — No Comments

Weekly Digest, July 27

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this…

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Added by Vincent Granville on July 26, 2020 at 5:00pm — No Comments

Milestones of Deep Learning

This article was written by Thimira Amaratunga.

Deep Learning has been around for about a decade now. Since its inception, Deep Learning has taken the world by storm due to its success (See my article “What is Deep Learning?” on how Deep Learning evolved through Artificial Intelligence, and Machine…

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Added by Andrea Manero-Bastin on July 26, 2020 at 8:00am — No Comments

P Value vs Critical Value

P-values and critical values are so similar that they are often confused. They both do the same thing: enable you to support or reject the null hypothesis in a test. But they differ in how you get to make that decision. In other words, they are two different approaches to the same result. This picture sums up the p value vs critical value approaches.…

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Added by Stephanie Glen on July 26, 2020 at 7:42am — No Comments

Blockdrop to Accelerate Neural Network training by IBM Research

Scaling AI with Dynamic Inference Paths in Neural Networks

Introduction

IBM Research, with the help of the University of Texas Austin and the University of Maryland, has tried to expedite the performance of neural networks by creating technology, called BlockDrop. Behind the design of this technology lies the objective and promise of speeding up convolutional neural network operations without…

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Added by Sharmistha Chatterjee on July 26, 2020 at 7:30am — No Comments

Traditional vs Deep Learning Algorithms used in BlockChain in Retail Industry

Use of SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN in Retail with BlockChain

Introduction

This blog highlights different ML algorithms used in blockchain transactions with a special emphasis on bitcoins in retail payments. This blog is structured as follows:

  • Overview of the role of blockchain in the retail industry.
  • Different traditional…
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Added by Sharmistha Chatterjee on July 26, 2020 at 7:22am — No Comments

Anomaly Detection from Head and Abdominal Fetal ECG — A Case study of IOT anomaly detection using Generative Adversarial Networks

Anomaly Detection from Head and Abdominal Fetal ECG — A Case study of IOT anomaly detection using Generative Adversarial Networks

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal…

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Added by Sharmistha Chatterjee on July 26, 2020 at 7:14am — No Comments

ARIMA/SARIMA vs LSTM with Ensemble learning Insights for Time Series Data

Motivation

There are five types of traditional time series models most commonly used in epidemic time series forecasting, which includes

  • Autoregressive (AR),
  • Moving Average (MA),
  • Autoregressive Moving Average (ARMA),
  • Autoregressive Integrated Moving Average (ARIMA), and
  • Seasonal Autoregressive Integrated Moving Average (SARIMA) models.

AR models express the current value of the time series linearly in…

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Added by Sharmistha Chatterjee on July 26, 2020 at 7:09am — No Comments

Free SAS, Data Analytics and Statistics Tutorials

SAS Tutorials on 9to5sas are designed for SAS programmers, Data Scientist, Data Analyst, and all the readers who want to learn SAS and need to transform raw data to produce insights for business decisions using SAS.

Why SAS?

Being SAS Professional I can tell you why SAS. I would say, its bit tiny subject however very Unique, competitive and leading within the analytics world. SAS is the main statistic tool certified by the FDA,…

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Added by Subhro Kar on July 25, 2020 at 8:30am — No Comments

How AI Is Taking On COVID-19?

 

Coronavirus pandemic is stretching the healthcare operational resources to an immense extent. During such a brief duration of time, COVID—19 has become one of the biggest challenges that humanity has to face in the twenty-first-century world. Many complications surround this pandemic regarding the …

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Added by Naveen Chandra Joshi on July 24, 2020 at 5:41am — No Comments

Traditional vs Deep Learning Algorithms in the Telecom Industry

Traditional vs Deep Learning Algorithms in the Telecom Industry — Cloud Architecture and Algorithm Categorization

Google Cloud Architecture for Machine Learning Algorithms in the Telecom Industry

Introduction

The unprecedented growth of mobile devices, applications, and services have placed the utmost demand on mobile and wireless networking infrastructure. Rapid research…

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Added by Sharmistha Chatterjee on July 23, 2020 at 8:26pm — No Comments

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