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October 2019 Blog Posts (96)

Bayesian Machine Learning

Bayesian Machine Learning (part -7)

Expectation-Maximization : A solved Example

I have covered the theoretical part of EM algorithm in my previous posts. For reference below are the links:…


Added by Ashutosh vyas on October 11, 2019 at 5:17am — No Comments

Coding vs Programming – What’s the Difference?

The Difference between Coding and Programming are explained in the below-mentioned points:

Coding is the process of translating and writing codes from one language to another whereas Programming is the process of building an executable program that can be used to carry out proper machine level outputs.

Coding only deals with the…


Added by Edward Bailey on October 11, 2019 at 2:16am — No Comments

Difference Between Correlation and Regression in One Picture

Correlation and regression analysis both deal with relationships between variables.  There are many different types of correlation and regression; This image focuses on the differences between the two most common ones: Pearson correlation and…


Added by Stephanie Glen on October 10, 2019 at 12:00pm — No Comments

Thursday News, October 10

Here is our selection of featured articles and technical resources posted since Monday:



Added by Vincent Granville on October 10, 2019 at 9:00am — No Comments

How to Boost Mobile App Development Process Using Big Data?

It’s a fact that we cannot live without our smartphones in the globalized world. Mobile has transformed the way we work and live. We do multiple things via our smartphones – paying bills to track our diet to a planning meeting. The apps we use to complete our tasks involve big data use and this has to be analyzed by a powerful data management tool. 

Big data management will provide insights from the gathered information through the apps (that are being used by the users). Continuous…


Added by Divyesh Aegis on October 10, 2019 at 12:30am — No Comments

Implementing Linear Regression with Golang

Did you ever wonder why linear regression plays an important role in statistics and machine learning? It is witnessed that linear regression is one of the most commonly and well-understood algorithms. 

Regression is a statistical method for calculating relationships among variables. It is one of the most popular and simplest regression…


Added by Packt Publishing on October 9, 2019 at 11:00pm — No Comments

Catalyst and Accelerant for Decision Making: Data Engineering and Analytics Applications

We live in a world driven by insights and decision making fueled by data and analytics. Information and technologies are so ubiquitous that no organization needs to be a digital titan (such as Amazon or Google) to compete in today’s world of business. Companies, large and small, are recognizing the need to utilize the full value of their…


Added by Aaron Burciaga on October 9, 2019 at 11:32am — No Comments

Free Book: Deep Learning and Computer Vision with CNNs

By Dan Howarth and Ajit Jaokar, October 2019. 58 pages. CNN stands for Convolutional Neural Networks. Part 1 will introduce the core concepts of Deep Learning. We will also start coding straightaway with Tensorflow 2.0. In part 2, we use another dataset - the mnist dataset - to build on our knowledge. In particular, we will:

  • Introduce Computer Vision
  • Introduce convolutional layers into our models
  • Introduce the concept of…

Added by Vincent Granville on October 9, 2019 at 10:30am — No Comments

Big Data Developments in Astroparticle Physics with Dr.Bradley Kavanagh

Because of the advancements in machine-learning based image recognition and AI-driven optimization, the influence of big data in the context of computer science is given a lot of attention. But today, we will explore the effect of big data on one of the most exciting fields of science. Astroparticle physics has been the arena for 5 Nobel Prize winners in the last 20 years, due in no small part, according to Dr.Bradley Kavanagh, to developments in big…


Added by Sandy Bridgwater on October 8, 2019 at 12:00pm — No Comments

Complete Hands-Off Automated Machine Learning

Summary:  Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon.  If you have an environment as fast changing as e-retail and a huge number of models matching buyers and products you could achieve real cost savings and revenue increases by making the refresh cycle faster and more accurate with automation.  This capability likely will be coming soon to your favorite AML platform.



Added by William Vorhies on October 7, 2019 at 7:28am — No Comments

Top 6 AI Companies to Start Your ML Project

There are a lot of AI Companies that offer Machine Learning development. Even choosing the right ones for your project could take a decent amount of time, not even mentioning to pick the one that fits.

We decided to help CEOs, established companies, and startups that are looking for AI & ML Developer to save time…


Added by Roman Chuprina on October 7, 2019 at 2:36am — 1 Comment

Understanding Dataflow graphs in TensorFlow

In order to be a highly efficient, flexible, and production-ready library, TensorFlow uses dataflow graphs to represent computation in terms of the relationships between individual operations. Dataflow is a programming model widely used in parallel computing and, in a dataflow graph, the nodes represent units of computation while the edges represent the data consumed or produced by a computation unit.

This post is taken from the book Hands-On Neural Networks with TensorFlow…


Added by Packt Publishing on October 6, 2019 at 11:30pm — No Comments

Leverage AI to Create Autonomous Policies that Adapts without Human Intervention

Leverage AI to Create Autonomous Policies that Adapts without Human Intervention

Policies are the foundation for any successful organization.  Policies are the rules, or laws, of an organization.  Policies document the principles, best practices and compliance guidelines that aid decision-making in supporting the consistent and repeatable operations of the business. Heck, one could argue that an organization’s culture is better defined by its policies than it…


Added by Bill Schmarzo on October 6, 2019 at 1:52pm — No Comments

Weekly Digest, October 7

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 link.  


  • Learn how…

Added by Vincent Granville on October 6, 2019 at 10:30am — No Comments

Automated Speech Processing using Filter Banks and MFCCs

This article was written by Haytham Fayek.

Speech processing plays an important role in any speech system whether its Automatic Speech Recognition (ASR) or speaker recognition or something else. Mel-Frequency Cepstral Coefficients (MFCCs) were very popular features for a long time; but more recently, filter banks are becoming increasingly popular. In this post, I will discuss filter…


Added by Andrea Manero-Bastin on October 6, 2019 at 7:00am — No Comments

Machine Learning’s Limits (Part 1): Why machine learning works in some cases and not in others.

This article was written by Ed Sperling.


Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that…


Added by Andrea Manero-Bastin on October 6, 2019 at 6:30am — No Comments

Free Book: Getting Started with TensorFlow 2.0

By Amita Kapoor and Ajit Jaokar. In this book, we introduce coding with tensorflow 2.0. We show how to develop with tensorflow 1.0 and contrast how the same code can be developed in tensorflow 2.0. The book emphasizes the unique features of tensorflow 2.0. Earlier this year, Google announced TensorFlow 2.0, it is a major leap from the existing TensorFlow 1.0.

The key differences are:

  • Ease of use
  • Eager…

Added by Vincent Granville on October 5, 2019 at 1:30pm — No Comments

Implementing Augmented Reality in Learning

Implementing Augmented Reality in Learning


Technologies are changing and ever growing. One of the newest developing technologies is augmented reality (AR), which can be applied to many different existing technologies, such as: computers, tablets, and smartphones. AR technology can also be utilized through wearable components, for example, glasses. Throughout this paper review on AR the following aspects are…


Added by Ajit Singh on October 5, 2019 at 12:30am — No Comments

Show Me The Money: A Look at How Technology is Helping Commercialize Sports



Added by Ronald van Loon on October 4, 2019 at 11:06pm — No Comments

Preparing for AI Driven Future with Hybrid Cloud

Organizations across the globe are buzzing about the cloud as the savior of their data management needs that provides them with the assistance they require for their business solutions. In this digital era of insights and analytics, the cloud has emerged as…


Added by Ronald van Loon on October 4, 2019 at 11:00pm — No Comments

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