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All Blog Posts Tagged 'dsc_ml' (86)

Neural Translation – Machine Translation with Neural Nets with Keras / Python

In this blog, we shall discuss about how to build a neural network to translate from English to German. This problem appeared as the Capstone project for the coursera course “Tensorflow 2: Customising your model“, a part of the specialization “Tensorflow2 for Deep Learning“, by the Imperial College, London. The…

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Added by Sandipan Dey on May 5, 2021 at 3:30am — No Comments

Your Guide for the Commonly Used Machine Learning Algorithms

We are currently living in such a period where computing has transformed immensely from large mainframes to personal computers to the cloud.  The constant technological progress and the evolution in computing resulted in major automation.

In this article, let’s understand few commonly used…

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Added by Aileen Scott on May 3, 2021 at 8:00pm — No Comments

Applications of real-world reinforcement learning

This blog is the second part of a two-blog series. Here, we discuss different sectors where reinforcement learning can be used to solve complex problems efficiently. The blog is based on this…

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Added by Kajal Singh on May 1, 2021 at 9:00pm — No Comments

Honey I Shrunk the Model: Why Big Machine Learning Models Must Go Small

Bigger is not always better for machine learning. Yet, deep learning models and the datasets on which they’re trained keep expanding, as researchers race to outdo one another while chasing state-of-the-art benchmarks. However groundbreaking they are, the consequences of bigger models are severe for both budgets and the environment alike. For…

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Added by Sasa Zelenovic on April 23, 2021 at 8:30am — No Comments

Model Training: Our Favorite Tools in the Shed

Welcome to the second installment of our ModelOps blog series, where we dive deep into the next step in the ModelOps pipeline, Model Training. During Model Training, we feed large volumes of data to our model so it can learn to perform a certain task very well. This blog follows the first post in our series where we cover everything you need to know…

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Added by Clayton Davis on April 15, 2021 at 12:17pm — No Comments

How TensorFlow Works?

Tensor Flow permits the subsequent:

  • Tensor Flow helps you to deploy computation to as a minimum one or extra CPUs or GPUs in a computing tool, server, or mobile device in a completely easy manner. This way the matters may be completed very speedy.
  • Tensor Flow lets you specific your computation as a statistics…
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Added by Apoorva Gupta on April 14, 2021 at 1:54am — No Comments

What is Unsupervised learning

What is Unsupervised learning?

Unsupervised Learning

Unsupervised Machine Learning is a device studying method wherein the users do now not want to oversee the model. Instead, it allows the version to paintings on its very own to discover patterns and records that become previously…

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Added by Vinayak Goyal on April 13, 2021 at 8:00am — No Comments

Leveraging SAP’s Enterprise Data Management tools to enable ML/AI success

Background

 

In our previous blog post, “Master Your ML/AI Success with Enterprise Data Management”, we outlined the need for Enterprise Data Management (EDM) and…

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Added by Mahesh Pethe on April 7, 2021 at 7:00am — No Comments

Deep Learning for Autonomous Driving: A Breakthrough in Urban Navigation

The six levels of autonomous driving

Autonomous vehicle’ is a buzzword that’s been circulating in recent decades. However, the development of such a vehicle has posed a significant challenge for automotive manufacturers. This article describes how deep learning autonomous driving and…

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Added by Olha Zhydik on April 5, 2021 at 7:30am — No Comments

Reinforcement Learning for Dynamic Pricing

Limitations on physical interactions throughout the world have reshaped our lives and habits. And while the pandemic has been disrupting the majority of industries, …

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Added by Olha Zhydik on April 5, 2021 at 7:30am — No Comments

Introduction to Probabilistic programming

Last week, I saw a nice presentation on Probabilistic Programming from a student in Iran (link below).  

I am interested in this subject for my teaching at the #universityofoxford. In this post, I provide a brief introduction to Probabilistic programming. Probabilistic programming is a programming paradigm designed to implement and solve…

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Added by ajit jaokar on April 4, 2021 at 1:00pm — No Comments

Distributed Artificial Intelligence with InterSystems IRIS

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see…

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Added by Sergey Lukyanchikov on April 3, 2021 at 3:00am — No Comments

Can Deep Learning Address Limited Bandwidth and Other Video Streaming Challenges?

We all experience video streaming issues, probably on a daily basis. But now that people aren’t just streaming for entertainment, but are relying on it in many cases to perform their jobs, it ups the ante to address some of these issues and provide an improved experience. Deep…

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Added by John Burke on March 19, 2021 at 2:00pm — No Comments

Feature Engineering At a glance

Data Science Lifecycle revolves around using various analytical methods to produce insights and applying Machine Learning techniques to do the predictions from the collected dataset. The main objective is to achieve a business challenge.

The entire process involves…

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Added by Shanthababu P on March 17, 2021 at 4:30am — No Comments

Explainable AI: Detecting Out-of-Distribution Samples and Adversarial Attacks

Hello, friends. In this blog post, an interpretable design of unsupervised deep convolutional neural network & lstm autoencoders based real-time anomaly detection from high-dimensional heterogeneous/homogeneous time series …

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Added by Ajay Arunachalam on March 15, 2021 at 12:00am — No Comments

The Bayesian vs frequentist approaches (Part 3) parametric vs non-parametric models

This post continues our discussion on the Bayesian vs the frequentist approaches. Here, we consider implications for parametric and non-parametric models

 

In the previous blog the Bayesian vs frequentist…

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Added by ajit jaokar on March 14, 2021 at 8:30am — No Comments

How To Find The Right balance in HEALTH CARE using AI/ML?

Recent studies show that, ‘healthcare’, very niche and personalized sector is now expanding its arm to embrace 'AI strategies' on priority this journey will be a roller coaster due to unawareness of where and how AI should be used ,and also how to implement it on larger & wider scales. This article will talk about various areas of AI…

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Added by Trupti Jadhav on March 10, 2021 at 12:00am — No Comments

What is automated machine learning (AutoML)?

Automated machine learning (AutoML) signifies a fundamental shift in how organizations of all sizes strategy machine learning and information science. Implementing conventional machine learning approaches to real-world business issues is time consuming, resource-intensive, and hard. It requires specialists from the many areas, including information scientists…

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Added by Nithin on March 9, 2021 at 9:30pm — No Comments

How Spotify Uses Artificial Intelligence, Big Data, and Machine Learning

How Spotify Uses Artificial Intelligence, Big Data, and Machine Learning

Despite the hate it gets from musicians over the less-than-ideal…

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Added by Kieran Whitehouse on March 7, 2021 at 4:30pm — No Comments

Plug n' Play Predictive Analysis for Business User Data Prototyping

Whether your business is a small, single location brick and mortar enterprise or a large, multi-facility organization that spans the global market, you need access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets.

When organizations undertake the process of researching and…

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Added by Kartik Patel on February 22, 2021 at 2:30am — No Comments

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