Building AI: 3 theorems you need to know – DXC Blogs

Building #AI: 3 theorems you need to know #MachineLearning

  • The mathematical theorem proving this is the so-called “no-free-lunch theorem” It tells us that if a learning algorithm works well with one kind of data, it will work poorly with other types of data.
  • In a way, a machine learning algorithm projects its own knowledge onto data.
  • In machine learning, overfitting occurs when your model performs well on training data, but the performance becomes horrible when switched to test data.
  • Any learning algorithm must also be a good model of the data; if it learns one type of data effectively, it will necessarily be a poor model — and a poor student – of some other types of data.
  • Good regulator theorem also tells us that determining if inductive bias will be beneficial or detrimental for modeling certain data depends on whether the equations defining the bias constitute a good or poor model of the data.

Editor’s note: This is a series of blog posts on the topic of “Demystifying the creation of intelligent machines: How does one create AI?” You are now reading part 3. For the list of all, see here: 1, 2, 3, 4, 5, 6, 7.
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5 EBooks to Read Before Getting into A Machine Learning Career

5 EBooks to Read Before Getting into A #MachineLearning Career #KDN

  • A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
  • This book covering machine learning is written by Shai Shalev-Shwartz and Shai Ben-David.
  • This introductory text on Bayesian machine learning is one of the most well-known on the topic as far as I am aware, and happens to have a free online version available.
  • This is the soon-to-be-released-in-print deep learning book by Goodfellow, Bengio and Courville, which has a freely-available final draft copy on its official website.
  • I wish you well on your quest to learn more about machine learning from free ebooks.


A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

Continue reading “5 EBooks to Read Before Getting into A Machine Learning Career”

5 EBooks to Read Before Getting into A Machine Learning Career

5 EBooks to Read Before Getting into A #MachineLearning Career

  • A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
  • This book covering machine learning is written by Shai Shalev-Shwartz and Shai Ben-David.
  • This introductory text on Bayesian machine learning is one of the most well-known on the topic as far as I am aware, and happens to have a free online version available.
  • This is the soon-to-be-released-in-print deep learning book by Goodfellow, Bengio and Courville, which has a freely-available final draft copy on its official website.
  • I wish you well on your quest to learn more about machine learning from free ebooks.


A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

Continue reading “5 EBooks to Read Before Getting into A Machine Learning Career”

3 Reasons why chatbots will be the darling of users

Why #chatbots will be the darling of users

#AI #UX #fintech #insurtech #ecommerce

  • What if I can be focused on my intended action without being distracted.
  • 3 Reasons why chatbots will be the darling of users
  • Chatbots, if used properly, can greatly reduce this clutter and cater to user’s wishes much better.
  • Chatbots have the potential to be real darling of the users.
  • Never miss a story from Chatbot News Daily , when you sign up for Medium.

Since the time Facebook has announced to open up their messenger platform for chatbots, they have been proliferating on the platform. As per a recent announcement by Facebook [1], an army of over…
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Are Robots the Future of Customer Engagement?

Are #Robots the Future of Customer Engagement?
  via @smxplorer
[#AI #CX #Marketing]

  • Most brands are smarter than Microsoft to publicly release their bots before all the kinks are worked out, but this shows that brands are pushing to use this new technology.
  • Chatbots, better known as bots , are computer programs that conduct a conversation with auditory and/or textual methods.
  • Bots that operate with rules have limited capabilities and can only respond to specific commands, meaning if you venture into a topic outside the guidelines they won’t know how to respond.
  • As Bots allow consumers to instantly interact with the world around them through conversation, the day will soon come when people will want to engage with a brand’s bot.
  • Jeff Lesser, Twitter’s Head of Social Customer Service, at the recent Corporate Social Media Summit New York said that customer service is the top reason why people follow brands on Twitter.


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5 EBooks to Read Before Getting into A Machine Learning Career

#ICYMI 5 #MachineLearning EBooks

  • The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
  • A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
  • The online version of the book is now complete and will remain available online for free.
  • Sure, many important advancements have been made in machine learning since this was put together, as Nilsson himself says, but these notes cover much of what is still considered relevant elementary material in a straightforward and focused manner.
  • Well, there’s always a collection of tutorials on pursuing machine learning in the Python ecosystem.


A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

Continue reading “5 EBooks to Read Before Getting into A Machine Learning Career”

5 EBooks to Read Before Getting into A Machine Learning Career

#ICYMI 5 EBooks to Read Before Getting into A #MachineLearning Career

  • The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
  • A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
  • The online version of the book is now complete and will remain available online for free.
  • Sure, many important advancements have been made in machine learning since this was put together, as Nilsson himself says, but these notes cover much of what is still considered relevant elementary material in a straightforward and focused manner.
  • Well, there’s always a collection of tutorials on pursuing machine learning in the Python ecosystem.


A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

Continue reading “5 EBooks to Read Before Getting into A Machine Learning Career”