We describe the constraint modelling tool Savile Row, its input language and its main features. Savile Row translates a solver-independent constraint modelling language to the input languages for various solvers including constraint, SAT, and SMT solvers. After a brief introduction, the manual describes the Essence Prime language, which is the input language of Savile Row. Then we describe the functions of the tool, its main features and options and how to install and use it.

Electrification was, without a doubt, the greatest engineering marvel of the 20th century. The electric motor was invented way back in 1821, and the electrical circuit was mathematically analyzed in 1827. But factory electrification, household electrification, and railway electrification all started slowly several decades later. The field of AI was formally founded in 1956. But it's only now--more than six decades later--that AI is expected to revolutionize the way humanity will live and work in the coming decades.

In this tutorial, we are implementing a Deep Convolutional GAN (DCGAN) with TensorFlow 2 / Keras, based on the paper, Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (Radford et al., 2016). This was one of the earliest GAN papers and is typically what you'd read to get started with learning GANs. Before we get started, are you familiar with how GANs work? If not, be sure to look at my previous post, "Intro to GANs," for a high-level intuition of how GANs work in general. Each GAN has at least one generator and one discriminator.

This is a brand new Machine Learning and Data Science course just launched and updated this month with the latest trends and skills for 2021! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 400,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. You will go from zero to mastery!

There are several courses on Machine Learning and AI. What is unique about this course? Don't waste your time sifting through mountains of techniques that are in the wild What exactly will you learn in this course? My name is Chandra Lingam, and I am the instructor for this course. I spend a considerable amount of time keeping myself up-to-date and teach cloud technologies from the basics.

Artificial Intelligence (AI) revolution is here! The technology is progressing at a massive scale and is being widely adopted in the Healthcare, defense, banking, gaming, transportation and robotics industries. Machine Learning is a subfield of Artificial Intelligence that enables machines to improve at a given task with experience. Machine Learning is an extremely hot topic; the demand for experienced machine learning engineers and data scientists has been steadily growing in the past 5 years. According to a report released by Research and Markets, the global AI and machine learning technology sectors are expected to grow from $1.4B to $8.8B by 2022 and it is predicted that AI tech sector will create around 2.3 million jobs by 2020.

"What projects can I do with machine learning?" We often get asked this question a lot from beginners getting started with machine learning. ProjectPro industry experts recommend that you explore some exciting, cool, fun, and easy machine learning project ideas across diverse business domains to get hands-on experience on the machine learning skills you've learned.

Natural Language Processing (NLP), a subdivision of Artificial Intelligence (AI), is the ability of a computer to understand human language the way it's spoken and written. Human language is typically referred to as natural language. Humans also have different sensors. For instance, ears perform the function of hearing, and eyes perform the function of seeing. Similarly, computers have programs for reading and microphones for collecting audio.

It is based on TensorFlow 2, the new version of Google's open-source library for machine learning. This course is focused in the application of Deep Learning for image classification and object detection. This course originally was designed in TensorFlow version 1.X but now all codes were updated with TensorFlow version 2.X, mainly by the use of Google Colaboratory(Colab). If you dont have an available GPU in your local system or you want to experiment in an environment without any previous installation or setup, dont worry you can follow the course smootly because all codes were optimized in Google Colab. The course starts with a concise review of the main concepts in Deep Learning, because this course focused in the application of Deep Learning in the computer vision field.

In the beginning website, design developers and designers designed websites using HTML. Soon, the internet was formless and empty, darkness was over the surface of the deep web, and the Spirit of Code was hovering over the pinnacle of utmost ignorance. We've come a long way from that time. The internet is still a dark, dreadful place, but it's much more stylish, sophisticated, and amazing now. Website Design has grown exponentially in scale and sophistication over the last few years, thanks to new Artificial Intelligence-based website creation tools that are dominating the digital marketing industry.