When you purchase through links in our articles, we may earn a small commission. Hundreds of websites and online services are currently unavailable due to a major Cloudflare service issue. Another day, another worldwide outage of a critical online service that brings numerous websites (including several high-profile ones) down to their knees. This news comes hot on the heels of last month's Amazon cloud outage, which took down everything from web services to Ring video doorbells to smart beds that cooked their owners . Cloudflare is a US-based company that operates hundreds of data centers, serves as a content delivery network for millions of websites, provides security and DDoS mitigation services for many of those websites, and a lot more.

When you purchase through links in our articles, we may earn a small commission. Users will soon be able to use PayPal to pay for product recommendations made by OpenAI's ChatGPT. PayPal recently signed a contract with OpenAI to integrate the digital wallet into ChatGPT, reports CNBC . This will allow users to easily pay for the products they discover via the AI tool. The agreement allows PayPal users to make payments via ChatGPT merchants to list and sell their goods in ChatGPT.

Soon you'll be able to pay for things like clothes and food through a chatbot, bypassing apps and websites. PayPal and Venmo just rolled out something big: AI-powered scam alerts for Friends and Family payments. If you've ever worried about accidentally sending money to a scammer, this new feature is designed for you. The alert system is smarter than the old generic pop-ups. Instead of repeating "watch out for scams" every time you send money, these new alerts adapt in real time to the actual risk level of your transaction.

To show off how easy it is for users to earn money by using his new chatbot platform, Pankaj Gupta offers to cash out 1 worth of Yupp credits, sending it to me over Venmo or PayPal. I'm talking with Gupta in the WIRED office during a prelaunch demo of Yupp, which comes out of stealth mode today. Journalistic ethics forbid accepting gifts from sources, so I politely decline. He proceeds to send it over PayPal to his Stanford alumni email. Gupta is the CEO of Yupp, which is free to use and available globally.

Dr Shepherd said online scammers often claim to be in a location where meeting face-to-face or even a live video call are not possible. "Oil rigs is one of the common ones - in the military on base, a doctor overseas - and then typically they build up that relationship and then say'there has been an emergency, I need some money for travel'." Nikki said she sent around 17,000 in total to the scammers. Her bank and PayPal have been able to get around 7,000 of that money back, but she was persuaded by the scammers to send some of the money as personal payments - through the friends and family function on PayPal. This has not been recovered.

Check out all the on-demand sessions from the Intelligent Security Summit here. There is no cure for Alzheimer's. But what if we could find a way to detect it early? The question intrigued the scientists at Imagia, who then used Google's automated machine learning (AutoML) to reduce test processing time from 16 hours to one hour. In 2018, with H2O's AutoML, PayPal increased its fraud detection model accuracy by 6% and made the model development process six times faster. Success stories like these have inspired around 61% of decision-makers in companies using artificial intelligence (AI) to adopt AutoML.

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. Job Description Summary: Data Scientist for the Shopping & Loyalty Analytics team who is very strong at generating valuable insights from data through deep dive analysis, experienced at supporting new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance. Job Description: Description: The Shopping & Loyalty team is passionate about rewarding users for their online shopping activities and driving user engagement and loyalty. The acquisition of Honey is only the beginning of our journey to create rich, innovative experiences that people can’t imagine shopping without. For that, we are seeking exceptional problem solvers with a passion for data insights and relentless focus on execution. * You are curious and inquisitive: love digging into data and uncovering insights * You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling * You are familiar with data science and machine learning techniques to improve product experiences * You are a highly motivated, result-oriented self-starter, enjoy working in a fast-pace environment, and can deliver successful results with minimal guidance * You are a fun-loving, adventurous team player Key Responsibilities * Perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations * Make data visually appealing and simple to both navigate and comprehend for end-users  * Identify key metrics and drive the building of exec-facing dashboards to track progress of the business and its highest priority initiatives * Identify key business levers, establish cause & effect, and communicate key findings to various stakeholders to facilitate data driven decision-making * Engage in problem solving with Product, Finance, Marketing, and various other teams to determine performance trends and root causes. * Support new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance. * Create close relationships with stakeholders to anticipate & answer questions that might be asked by executives  Basic Requirements: * B.S. in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees a plus * 4+ year of data science, analytics, or consulting experience * Experience influencing product strategy through analyses and data-centric presentations * Ability to independently break down large datasets and synthesize inputs from multiple sources * Experience with at least one querying language (e.g. SQL) and/or one scripting language (e.g. Python), comfortable with working with large, complex, and potentially messy datasets * Understanding of statistics (e.g. hypothesis testing, statistical inference, regression), experience designing and evaluating complex experiments a plus * Strong interpersonal and communication skills * Ability to act as a thought partner and interact cross-functionally * Experience with visualization tools such as Tableau / Periscope a plus, experience with building machine learning models a plus Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated. REQ ID R0095386

One of the hardest things about building a strong career in Artificial Intelligence, Data Science, or Machine Learning is to develop your skills in Math. Unfortunately, Math is one of those fields that scares a lot of people. Not learning Math properly will seriously compromise your problem-solving skills. For more details- check out my article- Why You need Math for Machine Learning. It focuses on Machine Learning, but the principles apply to many more domains.

A while back, I was on Twitter and I saw the following exceptional take on Twitter. This is a very popular idea online, and I had meant to write about this sooner. But thanks to all the insanity happening in the ML research domain, I got side-tracked. However, now that I have the time I can finally cover this in-depth. In this post, I will cover "Why you absolutely need Math for Machine Learning."

Analogies are very helpful for explaining ideas. I was recently talking to somebody from my boxing gym about coding interview prep. I explained the stages of preparation in terms of different boxing stages (shadow boxing, pad work, sparring, fights, etc). This analogy helped my friend understand the process, and even made the prep more fun for him (his words). In this article, I will share my experiences with Brazilian Jiu-Jitsu, A.K.A Murder Yoga.