5 EBooks to Read Before Getting into A Machine Learning Career


Note that, while there are numerous machine learning ebooks available for free online, including many which are very well-known, I have opted to move past these "regulars" and seek out lesser-known and more niche options for readers. Don't know where to start? Well, there's always here, a collection of tutorials on pursuing machine learning in the Python ecosystem. If you are looking for something more, you could look here for an overview of MOOCs and online lectures from freely-available university lectures. Of course, nothing substitutes rigorous formal education, but let's say that isn't in the cards for whatever reason.

5 Technologies Transforming Retail in 2018


By December, more than 6,985 stores closed across the US, according to retail think-tank Fung Global Retail & Technology. That's up more than 200 percent from a year ago, according to the firm's findings. It also beats the previous all-time high of 6,163 store closings that took place during the 2008 financial crisis, according to estimates by Credit Suisse. The reality is that many stores are closing for the same reason they've always closed -- they simply don't meet the needs and demands of customers. But at a time when consumers are empowered with choice and market conditions are increasingly volatile, new technologies can help brands and retailers drive valuable business efficiencies, and improve the overall customer experience and value proposition.

Learn to build apps driven by AI in this new course dedicated to mobile machine learning


Heads up: All products featured here are selected by Mashable's commerce team and meet our rigorous standards for awesomeness. If you buy something, Mashable may earn an affiliate commission. Machine learning is a rapidly growing field within Artificial Intelligence that powers everything from self-driving cars to your iPhone's FaceID. It's a great skill to add to your résumé and LinkedIn profile if you're looking to get into or advance a career in programming. Tons of online learning courses are dedicated to teaching this in-demand skill, but this course bundle claims to be the only one specializing in machine learning for mobile devices.

In the robot age, are you sure you're a human?


At the top of Mount Olympus, Hephaestus – the Greek god of fire and a blacksmith – built a palace for his fellow deities. Inside, he crafted robotic golden statues to serve them. Greek mythology tells us that a fascination with the robotic is as old as western civilization. In the intervening centuries, so advanced have AI, robotics and digital technologies become that sometimes it's easy to think we're being overtaken by innovation. Yet to hide in fear of a jobless apocalypse and a grim vision of rule by robots is to focus on only one side of a complex argument.

Artificial Intelligence In The Retail Industry


Thе sheer mаrkеt ѕіzе оf AI ѕоftwаrе аnd ѕуѕtеmѕ, which is expected to reach US$35,870 million by 2025, and the opportunities it opens are causing retailers to pay serious attention to AI. For shoppers who have drеаmеd оf having a реrѕоnаl shopper, AI simplifies the shopping process and provides personalized experiences that turn shoppers into customers who keep coming back for more. Shoppers aren't the only ones who benefit from AI. The innovative, always learning technology is contributing to higher sales and better customer experiences that improve the retail brand and bottom line. The following five retail use cases showcase how AI is transforming the industry and leading to better business outcomes.

Human-Centric Design: Four Ways AI Will Make UX Smarter


User Experience (UX) designs, by and large, aims to make digital experiences smooth and pleasant. Everything from the interactions on a user interface to the colors and features used in the product impact conversions. But there always remains a gap in how efficient or intuitive these interactions ought to be and how effective they actually are in converting visitors. It is probably why no UX design is perfect. There will always remain a friction point in the journey that keeps users from staying engaged.

Online Learning Guide with Text Classification using Vowpal Wabbit (VW)


A large number of E-Commerce and tech companies rely on real time training and predictions for their products. Google predicts real time click-through rates for their ads. This is used as an input to their auction mechanism, apart from a bid from the advertiser to decide which ads to show to the user. Stackoverflow uses real time predictions to automatically tag a question with the correct programming language so that they reach the right asker. An election management team might want to predict real time sentiment using Twitter to assess the impact of their campaign.

A Popular Crime-Predicting Algorithms Performed Worse Than Mechanical Turks in One Study


The American criminal justice system couldn't get much less fair. Across the country, some 1.5 million people are locked up in state and federal prisons. More than 600,000 people, the vast majority of whom have yet to be convicted of a crime, sit behind bars in local jails. Black people make up 40 percent of those incarcerated, despite accounting for just 13 percent of the US population. With the size and cost of jails and prisons rising--not to mention the inherent injustice of the system--cities and states across the country have been lured by tech tools that promise to predict whether someone might commit a crime.

The AI Used To Sell You More Stuff Can Now Read Better Than A Human


For the first time ever, two AI systems built to process and respond to human speech (created, respectively, by Microsoft and Chinese commerce giant Alibaba) outscored humans in a reading comprehension test designed by Stanford researchers. The Stanford Question Answering Dataset, SQuAD, is composed of a staggering 100,000 questions following brief reading passages. Created in 2016, SQuAD is used as a benchmark to measure AI's progress in natural language processing. After reading excerpts from Wikipedia, the systems answer questions such as "What is the Latin name for Black Death?" and "How many actors have played Doctor Who?" Alibaba's AI score was 82.44, and Microsoft's was 82.650, with humans trailing behind them both at 82.304. Alibaba's system may have finished second, but it's more than qualified to handle its day job: Working in sales.

Machines just beat humans at reading, putting millions of jobs at risk


Artificial intelligence (AI) software developed by Alibaba Group has performed better than humans in a global reading comprehension test, the first time that machines have outperformed people. The AI research arm of China's biggest online commerce company developed a machine-learning model that scored higher on the Stanford Question Answering Dataset, a large-scale reading comprehension test with more than 100,000 questions, according to a release by the company. On January 11, Alibaba's machine-learning models scored 82.44 on the test, compared with 82.304 by humans. While computers have beaten humans at complex games like chess, where raw computing power and an infallible memory have given bots an advantage, languages are generally seen as harder for machines to master. AlphaGo's China showdown: why it's time to embrace artificial intelligence The win has broader implications for how companies deploy machine learning to replace customer service jobs that have so far relied on armies of call-centre employees to handle inquiries.