Other than maybe the NSA, nobody knows more about you than Google. It's got a read on where you are, what you're doing, what you're thinking and watching and searching for and chatting with your friends about. Which means nobody should be better equipped to soundtrack every second of your life than Google Play Music. Starting today, the company's taking full advantage of its smarts to deliver you the sounds you want, when you want them. All you have to do is press play.

Apple announcements are like holidays in our office, and the new iOS release in September was no exception. Since then, AI assistant news has moved at warp speed. Every Alexa update is a new opportunity for fintech integration. Google, with its latest releases, is also now in the running. Add to this Bank of America's launch of a new AI chatbot, Erica, at Money 20/20 in Las Vegas, and the bank bot race is on.

Developed back in the 50s by Rosenblatt and colleagues, this extremely simple algorithm can be viewed as the foundation for some of the most successful classifiers today, including suport vector machines and logistic regression, solved using stochastic gradient descent. The convergence proof for the Perceptron algorithm is one of the most elegant pieces of math I've seen in ML. Most useful: Boosting, especially boosted decision trees. This intuitive approach allows you to build highly accurate ML models, by combining many simple ones. Boosting is one of the most practical methods in ML, it's widely used in industry, can handle a wide variety of data types, and can be implemented at scale.

A collection of minimal and clean implementations of machine learning algorithms. This project is targeting people who wants to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with. All algorithms are implemented in Python, using numpy, scipy and autograd.

Report discusses "special responsibilities for government which follow from its use of artificial intelligence and big data" A report by the Government Office for Science has warned that making the most of artificial intelligence, including in the public sector, will require the government to pay strong attention to ethics and governance. The report, Artificial intelligence: opportunities and implications for the future of decision making by government chief scientific advisor, Sir Mark Walport and Home Office permanent secretary Mark Sedwill, says it is important that the government actively works to bring this about. "Reaping the benefits of this revolution in information technology will require an approach to ethics and governance that enables innovation, builds trust among citizens, establishes a stable environment for businesses and investors, and fosters appropriate access to the data necessary for computer science to develop this technology still further," the report said. "The right form of governance for artificial intelligence, and indeed for the use of digital data more widely, is not self-evident. It is important to consider forms of data governance that cover all elements of the increasingly complex space, from responsibly generating data from people's behaviour to remaining accountable for autonomous software agents. Additionally, any approach adopted must be flexible, able to adapt to new uses and more advanced forms of artificial intelligence. There are many models that can be considered. But the important task is to set out what needs to be done before considering how it is to be achieved."

Want to know if chatbots are gaining ground on apps? A Citi analyst, for example, reported that bots are growing at a much faster pace than mobile apps did at this same stage. In the realm of personal finance, bots have the real potential to radically improve the way we manage our money, weaving financial decisions into the fabric of our daily lives and giving us immediate insight into the long-term effects of our spending, saving, and investing habits. For instance, in the near future, when you walk into Starbucks, Siri might gently suggest that instead of spending $5 on a coffee this morning, perhaps you should put those dollars toward your child's college fund, which you've been neglecting lately. To further nudge you in the right direction, she might also let you know how that $5 investment in a college fund will appreciate over time and remind you that the single coffee purchase holds no long-term value. You compromise and opt for drip coffee instead of a latte, putting the leftover $2.50 into your child's 529 plan.

IBM and Teva Pharmaceutical Industries Ltd. said Wednesday they would significantly expand their existing global e-Health alliance with a focus on two key healthcare areas: the discovery of new treatment options and improving chronic disease management. Both projects will run on the IBM Watson Health Cloud, the two companies said in a statement. The IBM Watson Health Cloud is a health-data enabled platform-as-a-service which is designed to help healthcare organizations derive individualized insights and obtain a more complete picture of the many factors that can affect people's health based on machine learning. The expanded partnership underlines the increased convergence of drugs discovery and treatments with cognitive computing, which aims to improve and better target medication for patients, increase effectiveness and lower costs. The companies said the expanded cooperation envisages a new, three-year research collaboration to develop new technologies that will enable a systematic approach to help repurpose drugs and aid in the discovery of new uses for existing drugs, the joint statement said.

SEOUL, South Korea – Samsung Electronics says it has agreed to acquire auto-systems maker Harman for $8 billion as the South Korean giant eyes the growing market for connected cars. Samsung said in a statement Monday it will pay $112.00 per share in cash for the Stamford, CT.-based company. Overseas acquisitions are high on Samsung's agenda. Last month, the company bought artificial intelligence firm Viv Labs, founded by creators of Apple's Siri. It also recently bought a cloud service company, a mobile payments firm and a connected home startup.

Samsung Electronics says it has agreed to acquire auto-systems maker Harman for $8 billion as the South Korean giant eyes the growing market for connected cars. Samsung said in a statement Monday it will pay $112.00 per share in cash for the Stamford, CT.-based company. Overseas acquisitions are high on Samsung's agenda. Last month, the company bought artificial intelligence firm Viv Labs, founded by creators of Apple's Siri. It also recently bought a cloud service company, a mobile payments firm and a connected home startup. Harman provides connected cars and audio systems with safety and entertainment features.

Such sentiment analysis, however, comes with a heavy workload and also requires mathematical models. "There are three ways to make improved predictions – a better model, better data, and more data," says Jeremy Perlman, VP Europe for Trifacta, which helps RBS, Santander and PepsiCo analyse data. "The problem is that data created on social media and the web is expanding at a ridiculous rate, so machine learning will be critical to making better predictions at massive scale." Since computing power is increasingly exponential with the birth of super-computing in the cloud, the need to analyse more and more data shouldn't be a major hurdle. "Computational devices can very effectively, with high precision and rapidly, gather millions of tweets, posts or similar and run sentiment analysis – to understand likes and dislikes," says Jepson.