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Book Reviews

AI Innovation

The Salamander ML Book Gets an Update!

Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems This book is here to help you get your job done. So wrote Aurélien Géron, the author of this well-received book, now into its second edition. That is probably an understatement. Not only do you get things done,

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AI Innovation

Machines of Loving Grace by John Markoff : Book Review

I came across this book at Kinokuniya and decided to purchase the audio book. What caught my eye and interest was the subtitle “The Quest for Common Ground Between Humans and Robots”. As an economist and a researcher, I am very interested to know more about the future state of the economy and society as

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AI Innovation

Data for the People by Andreas Weigend : a Book Review

I was introduced to this book by a close friend of mine who is currently working as a data analyst in a prominent start-up. The audio-book is available at the National Library which you can find here. It is written by Andreas Weigend, former Chief Scientist of Amazon. The book goes into how to make

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AI Innovation

The AI Economy by Roger Bootle : a Book Review

The AI Economy caught my attention when I was browsing for books at Kinokuniya Singapore. I am an economist by training and am always fascinated by the subject, so a book with such a title definitely attracted my attention. The book is written by Roger Bootle, a renowned British economist. It definitely has the prose

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Introduction to Machine Learning with Python

With this book, you will learn:  Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your

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The Hundred-Page Machine Learning Book

This is an excellent book for those that studied AI 10, 20 or 30 years ago, and need a quick weekend refresher course. In 100-pages, the author takes the reader through the basics of machine learning with sufficient maths of the core algorithms and neural networks. I would not recommend this book if you have

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Hands-On Machine Learning with Scikit-Learn & Tensorflow

An excellent introductory-intermediate book for any software engineer familiar with Python to quickly pick up machine learning. It will take the beginner to coding relatively proficiently with Python+Scikit-Learn and Tensorflow in a few weeks if you spend an hour or two a day. The book provides a very nice end to end ML example right

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Data mining with Rattle and R

For those keen to use R but yet need a quick start to solve some immediate data-mining problems, you can use Rattle. From the Rattle website: Rattle is a popular GUI for data mining using R. It presents statistical and visual summaries of data, transforms data so that it can be readily modelled, builds both

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Deep Learning – A Practitioner’s Approach

From this book, you will learn: Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent neural networks Learn how to map specific deep network to the right problem Walk through the

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Recent Articles

AI in Education Grand Challenge – NOW OPEN!

AI Singapore is pleased to announce the launch of the AI in Education Grand Challenge! This Grand Challenge aims to encourage the development of innovative approaches that use artificial intelligence (AI) to enhance Mother Tongue Language learning for primary-level students in Singapore. It supports ground-breaking research ideas that adopt AI technologies and innovations to address

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