All Blog Posts Tagged 'dsc_ml' (201)

AI Robotization with InterSystems IRIS Data Platform

Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the…


Added by Sergey Lukyanchikov on July 16, 2021 at 4:00am — No Comments

Abstraction and Data Science — Not a great combination

Abstraction: some succinct definitions.

"Abstraction is the technique of hiding implementation by providing a layer over the functionality.”

“Abstraction, as a process, denotes the extracting of the essential details about an item, or a group of items, while ignoring the inessential details”…


Added by Venkat Raman on July 8, 2021 at 10:00am — 1 Comment

Why the Feature Store Architecture is so Impactful for ML Teams

What is a Feature Store?

Machine learning is such a new field that a mature industry-wide standard practice of operations has not yet emerged, like there has been in software development for the past 20 or more years. An ML…


Added by Alexandra Joseph on July 7, 2021 at 12:30am — No Comments

The Important Components of Augmented Analytics

When it comes to the new world of analytics, the augmented analytics approach allows business users with no data science background to readily access and use analytics in an intuitive way. There are some important aspects of this approach, including auto machine learning, natural language processing (NLP) and intuitive search…


Added by Kartik Patel on July 7, 2021 at 12:00am — No Comments

Difference Between Algorithm and Artificial Intelligence

By 2035 AI could boost average profitability rates by 38 percent and lead to an economic increase of $14 Trillion.

  • Accenture

The words Artificial Intelligence (AI), and algorithms are most often misused and misunderstood. There are often used…


Added by Aileen Scott on July 6, 2021 at 9:30pm — No Comments

Model Experiments, Tracking and Registration using MLflow on Databricks

Learn how StreamSets, a modern data integration platform for DataOps, can help expedite operations at some of the most crucial stages of Machine Learning Lifecycle and MLOps.

Data Acquisition And…


Added by Dash on July 1, 2021 at 10:30am — No Comments

Load Data Into Google BigQuery on Dataproc and AutoML

What is Dataproc?

Dataproc is a low-cost, Google Cloud Platform integrated, easy to use managed Spark and Hadoop service that can be leveraged for batch processing, streaming, and machine learning use cases.

What is Google BigQuery?

BigQuery is an enterprise grade…


Added by Dash on July 1, 2021 at 9:00am — No Comments

Tracking Experiments to Improve AI Accuracy

The development of machine learning and deep learning solutions typically follows a workflow that starts from the problem definition and goes through the crucial steps of collecting and exploring useful data, training and evaluating candidate models, deploying a solution, and finally documenting and maintaining the system once it is running in the wild (Figure 1). Despite its predictable structure, some…


Added by OGE MARQUES on July 1, 2021 at 6:00am — No Comments

Making Sense of Data Features

Spend any time at all in the machine learning space, and pretty soon you will encounter the term "feature". It's a term that may seem self-evident at first, but it very quickly descends into a level of murkiness that can leave most laypeople (and even many programmers) confused, especially when you hear examples of machine learning systems that involve…


Added by Kurt A Cagle on June 15, 2021 at 8:30pm — No Comments

Model-centric to Data-centric AI - Am I Missing Something?



Andrew Ng is a key reference point for me in understanding AI.

Andrew Ng is always easy to understand – especially…


Added by ajit jaokar on June 13, 2021 at 4:30am — No Comments

The Machine Learning Process in 7 Steps

In this article, I describe the various steps involved in managing a machine learning process from beginning to end. Depending on which company you work for, you may or may not be involved in all the steps. In larger companies, you typically focus on one or two specialized aspects of a project. In small companies, you may be involved in all…


Added by Vincent Granville on June 12, 2021 at 7:00pm — No Comments

What Movies Can Teach Us About Prospering in an AI World – Part 1

In his book “Outliers”, Malcom Gladwell unveils the "10,000-Hour Rule" which postulates that the key to…


Added by Bill Schmarzo on June 6, 2021 at 6:00am — No Comments

Protecting Artificial Intelligence models against threats and attacks

I read a paper from ETSI last week which talks of protecting Artificial Intelligence models against threats and attacks.

This topic is of interest to me since we cover it in the artificial intelligence for cybersecurity course at the University of Oxford. Protecting AI models from threats is getting increasingly more important but is not yet…


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

Algorithms for decision making: excellent free download book from MIT


MIT press provides another excellent book in creative commons.

Algorithms for decision making: free download book

I plan to buy it and I recommend you do. This book provides a broad introduction to algorithms for…


Added by ajit jaokar on May 23, 2021 at 11:30am — No Comments

ML and Causality – Why?

Machine learning is “Competence without Comprehension” as famously noted by Dan Dennett, the pre-eminent philosopher of our times. There are two aspects to Machine Learning (ML) “comprehension”.

Artificial General Intelligence (AGI) hopes to infuse ML with comprehension. The other less lofty aspect is that WE would…


Added by PG Madhavan on May 20, 2021 at 8:00am — No Comments

Deep Learning Based Recommender Systems

Recommender systems are lifesavers in the infinite seething sea of e-commerce, improving customer experience. Recommender engines are eliminating the tyranny of choice, smoothing the way for decision-making, and boosting online sales. Moreover, ubiquitous AI technologies are sneaking into e-commerce, too, not…


Added by Oleksandr Tyron on May 18, 2021 at 3:30am — No Comments

Seven Rules for Delivering Machine Learning Projects on Time

Predicting the length of time it will take to get a Machine Learning (ML) project into production can be tricky. If there is an issue, more often than not, it is likely related to a disconnect between engineering and the data science team. Collaboration between data science and engineering is critical for ML projects, but it…


Added by Abhishek Gupta on May 17, 2021 at 11:30am — No Comments

The Secret behind Train and Test Split in Machine Learning Process

What is Data Science and Machine Learning?

 Data Science

  • Data Science is a broader concept and multidisciplinary.
  • Data science is a general process and method that analyze and manipulate data.
  • Data science…

Added by Shanthababu P on May 13, 2021 at 9:30pm — 1 Comment

Model Versioning: Reduce Friction. Create Stability. Automate.

The research and development (R&D) phase of building an AI model to address a business problem is characterized by rapid exploration and iteration. Everything is on the table and experimentation is encouraged, from understanding how to frame the problem, to determining how to most effectively use the data on hand, to discovering the model…


Added by Clayton Davis on May 12, 2021 at 7:30am — No Comments

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…


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

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