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All Blog Posts Tagged 'learning' (279)

Data Science Opportunities in the Age of COVID

Summary:  The annual Burtch Works salary survey with data through April shows that opportunities and salaries are still excellent for both new and experienced data scientists.  They also offer some anecdotal observations about the impact of the first few months of COVID on our work and opportunities.

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Added by William Vorhies on September 1, 2020 at 8:00am — No Comments

AI Book and Strategy - AI for People and Business by Alex Castrounis (O'Reilly)

AI for People and Business is an AI book and AI strategy framework. Here's the official book trailer where I explain important topics that are covered in the book, as well as the beneficial aspects of reading it and the importance of developing a strong AI strategy.

FREE CHAPTER DOWNLOAD -…

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Added by Alex Castrounis on August 27, 2020 at 7:20am — No Comments

Post-Pandemic Education: What to Expect?

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Added by Mariana Muzyka on August 25, 2020 at 8:30am — No Comments

LEEP: Measuring Transferability of Learned Representations

Summary:  Transfer Learning (TL) may be the most important aid to adoption of deep learning in the last several years.  This new LEEP measure predicts the accuracy of the transfer and should make TL faster, cheaper, and better.

 

What is the single most important innovation in deep learning in the last several…

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Added by William Vorhies on August 21, 2020 at 10:26am — No Comments

For what reason Probability Important to Machine Learning?

Machine learning is tied in with creating predictive models from uncertain data. Uncertainty implies working with imperfect or fragmented information.

In any case, we can oversee uncertainty utilizing the tools of probability.…

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Added by saurav singla on August 6, 2020 at 1:30am — No Comments

How Can Machine Learning Revamp Your Mobile App?

In the past few years, Machine Learning has rapidly changed our lives with its efficient applications. Thi technology has given an uplift to the entire mobile industry. Making devices and mobile apps as intelligent as humans, machine learning is…

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Added by Varun Bhagat on August 5, 2020 at 10:19pm — No Comments

The Census Bureau Says Less Than 9% of US Companies are Using AI! Really?

Summary:  Less than 9%?  What this study really shows and what we should take away from it.

 

Wow.  Less than 9%!  Can this be true?  Well according to a large scale survey study conducted by the US Census Bureau it’s actually a…

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Added by William Vorhies on August 3, 2020 at 1:00pm — 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

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

Racial Bias in Modeling – Not as Simple as You Might Think

Summary:  Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African Americans.  Defining and correcting the bias presents difficult issues for data scientists that need to be carefully thought through before reaching conclusions.

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Added by William Vorhies on June 29, 2020 at 11:31am — No Comments

Training with historical data! Surely, you’re joking says the IoT asset that just got connected

By

  • Priya Sharma – Sr. Data Scientist -IoT Analytics, SAS Institute Inc.
  • Saurabh Mishra – Product Management, IoT, SAS Institute Inc.

June 12, 2020

Description: Majority of AI approaches are based on the construct of training against historical data and then inferencing new data. While this is a sound and proven approach, a lot of IoT assets coming online don’t have historical data and we don’t necessarily have the time to wait.

Modern Machine…

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Added by Jane Howell on June 12, 2020 at 2:30pm — No Comments

Reinforcement Learning (Q-learning) - Implementation using R (Part 2)

This the second part of Reinforcement Learning (Q-learning). If you would like to understand the RL, Q-learning, and key terms please read Part 1.

In this part, we will implement a simple example of Q learning using the R programming language from scratch. It is expected from you to understand the basics of R programming and complete the reading of Part 1 of this article.

Import libraries

We are coding the algorithms using the R base package…

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Added by Nitin Agarwal on June 4, 2020 at 8:23pm — No Comments

Reinforcement Learning (Q-learning) - An Introduction (Part 1)

Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers?

A very popular example being Deepmind whose AlphaGo program defeated the South Korean Go world champion in 2016. Other than this there are other AI agents developed with the intent of playing Atari games like…

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Added by Nitin Agarwal on June 4, 2020 at 7:51pm — No Comments

Explaining Data Science to a Non-Data Scientist

Summary:  Explaining data science to a non-data scientist isn’t as easy as it sounds.  You may know a lot about math, tools, techniques, data, and computer architecture but the question is how do you explain this briefly without getting buried in the detail.  You might try this approach.

 

We’ve all been…

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Added by William Vorhies on June 2, 2020 at 9:40am — 3 Comments

Do You Need an AI Product Manager

Summary:  What is an AI Product Manager and how do you know when you need one.

 

The role of Product Manager (PM) can mean many things dependent on the specifics of the company, its markets, its channels, and the variety of its products.  It’s almost impossible to put a single label on the responsibilities of a…

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Added by William Vorhies on May 25, 2020 at 10:23am — 2 Comments

Gamification and Simulation in Education and Corporate Learning

In the article, we talk about the benefits of gamification in training, why it’s becoming a necessity in the Education field and what are some brightest examples of gamification software across the world.

Why is education not effective without gamification? Psychology, social impact and technology hidden…

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Added by Mariana Muzyka on May 25, 2020 at 5:53am — No Comments

KISS – Complex DNN Techniques are Not the Improvements They’re Reported to Be

Summary:  In a comprehensive study of 18 recently presented DNN advancements in top-N recommenders, only 7 presented sufficient data to allow reproduction.  Worse, of the 7 that could be reproduced none showed an actual improvement over simple linear and KNN techniques when those were properly optimized.

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Added by William Vorhies on May 19, 2020 at 12:53pm — No Comments

How to maintain Model Effectiveness after deployed

How to maintain Model Effectiveness after deployed

When we ready to deploy a good predictive model which given a good accuracy score on training and testing dataset, there is one more problem to solve.  How long will this model effectively solve the problem with the same high accuracy and what is the strategy to maintain the model accuracy. We also need to…

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Added by Ramesh on May 17, 2020 at 11:32am — No Comments

Will DNNs Ever Really be Explainable?

Summary: As we have become ever more enamored with DNNs, and their accuracy and utility has been paced only by their complexity we will need to answer the question of whether we will ever really be able to explain what goes on inside.

 

As we have become ever more enamored with DNNs, and their accuracy and…

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Added by William Vorhies on May 11, 2020 at 2:41pm — No Comments

For Better or Worse Analytics and Data Science are Converging

Summary:  Analytic Platforms are rapidly being augmented with features previously reserved for data scientists.  They are presented as easy to use but require substantial data literacy and advanced DS skills for the most complex.  Business users and analysts can pursue more complex problems on their own, but need good oversight.

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Added by William Vorhies on May 4, 2020 at 1:06pm — No Comments

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