Learn to carry out pre-processing, visualization and machine learning tasks such as: clustering, classification and regression in R. You will be able to mine insights from text data and Twitter to give yourself & your company a competitive edge. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.

Oracle recently announced the availability of Cloud Data Science PlatformAccording to Oracle, the key differentiating factor for its data science platform is team collaboration features and tight integration with a variety of data sources available in OCI. According to Oracle, the key differentiating factor for its data science platform is team collaboration features and tight integration with a variety of data sources available in OCI. Being a cybersecurity analyst at a large company today is a bit like looking for a needle in a haystack -- if that haystack were hurtling toward you at fiber optic speed. Every day, employees and customers generate loads of data that establish a normal set of behaviors. An attacker will also generate data while using any number of techniques to infiltrate the system; the goal is to find that "needle" and stop it before it does any damage.

One of the things that is a real bug bearer for most of the forex industry is that in certain jurisdictions, it's extremely difficult to place deposits and withdrawals, and by using crypto, we take advantage of Stellar blockchain, and we have that beautiful transparency and the wonderful lightning-fast transaction

Researchers from the University of Southern California have presented AI-empowered socially assistive robotic solution to help children with autism spectrum disorders. In the article "Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders" published in journal Science Robotics on…

Given the increasing compliance demands on organisations from the public and regulators alike, companies cannot afford to neglect their compliance obligations. The role of compliance is to prevent, detect, respond to and remediate risk and financial institutions (FIs) must use all of the tools at their disposal to achieve it. Implementing an effective compliance framework requires the whole firm to be on board, from the C-suite down. The compliance function is in a state of flux, however – virtually unrecognisable from a decade ago. The catalyst for much of the change in the financial services industry was the global financial crisis.

Alphabet's R&D subsidiary X has unveiled its next "moonshot project," as the company strives to improve ocean health through automatically tracking and logging the behavior of fish over time. The oceans constitute more than 70% of Earth's surface, and play a pivotal part in regulating the global climate. They also provides billions of people with food, with fish generally having a lower carbon footprint relative to land-based animals. But understanding what's going on underneath the oceans is key to protecting it, which is what Google's sister company is now setting out to achieve. Tidal, as the new project is called, is setting out to help preserve the ocean's ability to "support life and help feed humanity, sustainably," noted Tidal project lead Neil Davé, in a blog post.

Imagine being thrown into a morning panic by the sound of a blaring alarm, screaming at you to take immediate shelter. Your Smart TV displays the words "AERIAL DRONE RAID" in all red, and as you attempt to rationalize what is going on, you inch towards the window in sheer disbelief as you discover a decimated cityscape. Rogue armies of drone wasps run amok in search of deviants to poison and kill, unmanned tanks obliterate anything moving on the streets and sophisticated digital twin satellites successfully cripple our electric power grid system with advanced EMP attacks. Cyber criminals have already taken advantage of the situation, broadcasting "deep fake" news of a deadly virus to cause panic and hysteria among the masses. Biohackers take it a step further, threatening to unleash an AI-manufactured strain of the flu unless the government provides them with a sizable paycheck.

Researchers have developed a new personalized learning robot for autistic children that uses machine learning to adapt its lessons to each kid's changing needs. The University of Southern California team put a "socially assistive robot" called Kiwi in the homes of 17 autistic children and set the two-foot-tall, green-feathered robot to give each child personalized classes. Over the course of a month, the children played space-themed math games on a tablet device while Kiwi provided feedback and instruction, such as congratulating them on a correct answer or giving tips after a wrong one. As the lessons progressed, algorithms adjusted Kiwi's feedback and the difficulty of the games to the child's individual needs. By the end of the month, all of the children had improved their math skills, while 92% had also improved their social skills.

Clearly there are some big AI and analytics trends for 2020. With so many new opportunities in analytics, how do organizations tap into not just trends, but the value those technologies can create for their companies and customers? As we head into the next decade, I believe the greatest value of analytics will come in the form of clear, fast decision-making, predictive trends, and ROI (which, again, will lead to better decisions). The following are a few trends that can help grow and improve your company this year. An Excel document--flat numbers on a page--won't cut it in 2020, no matter how great your Excel skills are.

One area that the Commission is particularly concerned about is facial recognition. At the moment, the processing of biometric data in order to identify people is illegal in most cases, under data privacy laws. However, the EU is now looking at whether there should be certain exceptions. Speaking to journalists in Brussels, Margrethe Vestager, the EU's head of competition policy, said: "Artificial intelligence is not good or bad in itself, it all depends on why and how it is used." In an exclusive interview with CNBC Tuesday, Vestager said that the EU is taking a "double-sided" approach where it will enable this technology, while also ensuring it's not harmful to EU citizens.