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Get over 50 hours of training in machine learning for under £30


TL;DR: The Machine Learning Master Class bundle is on sale for £29.85 as of August 4, saving you 91% on list price. Thanks to developing artificial intelligence technologies, computer are smarter than ever before. Along with those technologies has come a relatively new category of computer science called machine learning, or ML. Similar to statistics, ML involves computer systems that utilise algorithms to automatically learn about data, recognise patterns, and make decisions, all without outside intervention or explicit directions from human beings. In the real world, you can find it being used in smart assistants like Siri and the Amazon Echo, in online fraud detection services, in the facial recognition feature that identifies photos of you on Facebook, and more recently, in Tesla's self-driving car.

Proactive fraud protection through advanced Analytics, AI and Machine Learning


In the face of ever evolving and increasingly sophisticated cyber crime, integrating automation, AI and Machine Learning into financial crime …

Top 8 Machine Learning Libraries In Kotlin One Must Know


According to the Stack Overflow Developer survey report, Kotlin is one of the most loved programming languages among professional developers. It secured the 4th position among 25 programming languages. As per the official documentation, Kotlin claims to be a preferred choice for building data pipelines, productionising machine learning models, among others. In this article, we list down the top 8 machine learning libraries in Kotlin. Kotlin Statistics is a machine learning library that aims to express meaningful statistical and data analysis with functional and object-oriented programming while making the code legible and intuitive.

Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild: Paper and Code


Due to the ubiquity of smartphones, it is popular to take photos of one's self, or "selfies." Such photos are convenient to take, because they do not require specialized equipment or a third-party photographer. However, in selfies, constraints such as human arm length often make the body pose look unnatural. To address this issue, we introduce $\textit{unselfie}$, a novel photographic transformation that automatically translates a selfie into a neutral-pose portrait. To achieve this, we first collect an unpaired dataset, and introduce a way to synthesize paired training data for self-supervised learning.

What we know about IoT Security? – DocTooLss


We read a lot about IoT, but not clear what exactly it means, although we know about its definition so here we explain in simple terms. IoT is basically connecting of computing devices, mechanical, digital machines, objects, and people with one another. Ex: wirelessly connecting devices such as smart speakers i.e. our very own Amazon Alexa or Google Home, smart TVs, Apple Watch, internet-connected baby monitors, video doorbells, and even toys, CCTV camera's controlled by smartphones. The technology that is concerned with safeguarding the connected devices and networks in the internet of things (IoT). IoT is a concept based on the idea of everyday physical objects with the ability to communicate directly over the Internet.

Council Post: 14 'Smart City' Tech Features That Will Soon Change Urban Centers


As the Internet of Things continues to permeate more areas of modern life, we've begun to see the rise of the "smart city." These urban areas leverage IoT technology like sensors and beacons to collect data and better manage a city's resources, services and operations. This ultimately makes a city safer and can improve the quality of life for residents. Because this smart city technology is virtually invisible to those who aren't operating it, many outside of the tech industry may not realize the full impact IoT can have on urban life. Below, 14 experts from Forbes Technology Council explain some of the current and upcoming tech innovations that are changing the way cities function.

Hands-On-Guide To Machine Learning Model Deployment Using Flask


Data Science enthusiast who is currently pursuing a Post Graduate Program in Machine learning and Artificial Intelligence. I have experience in building predictive models in Machine Learning and Artificial Intelligence and also deploying them in real time. I have done various good projects in the domain of analytics. My area of interest lies in Computer Vision. My goal is to build various use cases using the power of Artificial Intelligence and Machine Learning and solve business problems.

Artificial intelligence reduces the user experience, and that's a good thing


We're overwhelmed, to place it mildly, with calls for and stimuli. There are tens of millions of apps, purposes and web sites begging for our consideration, and as soon as we've a specific app, utility and web site up, we nonetheless are bombarded by hyperlinks and decisions. Every single day, each hour, each minute, it is a firehose. Synthetic intelligence is providing reduction on this entrance. Person expertise, pushed by AI, could assist winnow down a firehose of decisions and knowledge wanted for the time being all the way down to a gently flowing fountain.

Can Artificial Intelligence detect the cause of diseases?


The technological advancements in the global Healthcare industry are hurtling at light speed. As the medical industry is undergoing immense changes, Healthcare OEMs look forward to the growing technological trends to improve all aspects of patient care. Today, Artificial Intelligence (AI) play significant roles in the evolution of the healthcare industry, so much that algorithms can now predict and detect the root cause of a certain disease, making an accurate and timely diagnosis. For example, AI can detect the underlying cause of cancer, which can eventually help pharmaceutical scientists develop new drugs accordingly. In one recent study, published by Healthcare IT News, "Google and medical partners including Northwestern University have unveiled a new AI-based tool that can create a better model of a patient's lung from the CT scan images. This 3-D image gives better predictions about the malignancy of tumors and incorporates learning from previous scans, enabling the AI to help clinicians in spotting lung cancer in earlier stages when it is vastly more treatable".

Image Classifier -- Zalando Clothing Store using Monk Library


This tutorial is about image classification on the Zalando Clothing Store dataset using Monk Library. In this dataset, there are high-res, color, and diverse images of clothing and models. This is the best tool to use for competitions held in platforms like Kaggle, Codalab, HackerEarth, AiCrowd, etc. For other ways to install, visit Monk Library. This section is to give you a demo of this classifier before getting into further details.