Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making. The courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. Topics covered include: Data strategy at firms Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making Understanding data modeling and predictive analytics at a high-level Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness.

Python is an interpreted, high-level, general-purpose programming language. This means that it is executed by the interpreter at runtime, rather than being compiled into machine code, which makes it easy to write and debug. It is also a high-level language, which means that it abstracts away many of the low-level details of the computer, such as memory management and garbage collection, and provides a higher-level, more intuitive interface for the programmer. Python is an object-oriented language, which means that it organizes data and the functions that operate on that data into reusable units called objects. Objects can be thought of as containers that hold data and the functions that operate on that data.

"The application of machine learning really interested me," said Butcher, who is now in her fourth year of an accelerated five-year bachelor's and …

Deep learning is a quintessentially'hot topic'. It is surrounded by hype, often referenced and not discussed as thoroughly as it should be.

We have moved far beyond the Taylorist Office of 1900, which focused on efficiency and organization, with a production line style, to what I describe as Workplace 4.0: The Collaboratory. I see this as a balanced, collaborative, interactive, and social hub with dedicated quiet spaces. It's empowered by a focus on the four pillars of technology, sustainability, learning, and wellbeing, with hybrid flexibility around ways of working across digital and physical space. A future-ready workplace is one able to embrace and integrate the elements of the Collaboratory. This is combined with the continual listening and future-scanning activity that can readily identify the most important technologies to help employees work smarter, more productively, and with higher satisfaction than ever before.

Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine. Electronic health records (EHRs) need a new public relations manager. Ten years ago, the U.S. government passed a law that strongly encouraged the adoption of electronic health records to improve and streamline care. The enormous amount of information in these now-digital records could be used to answer very specific questions beyond the scope of clinical trials: What's the right dose of this medication for patients with this height and weight? New research could help make it significantly simpler to use the information in electronic health records for personalized medicine.

Blink-182's Travis Barker is widely regarded as one of the best drummers in the music industry. But he could face some stiff competition from a rather unexpected musician - Xiaomi's humanoid robot, CyberOne. A new video shows the $104,000 robot drumming along to a song with expert precision. Drumming isn't CyberOne's only skill - it also has arms and legs that allow it to walk just like a real human, while the android is fitted with AI technology that allows it to detect 45 human emotions. A new video shows Xiaomi's humanoid robot, CyberOne drumming along to a song with expert precision In the short clip, which was posted to YouTube by IEEE Spectrum, CyberOne can be seen sitting behind a drum kit, playing along to a pre-recorded track.

Journalist Alison Killing explains her investigation in Xinjiang, China, where the government has used facial recognition cameras to track Uyghurs and detain them in camps across the region. Alison Killing is an architect and investigative journalist. In 2021, she and her co-journalists won the Pulitzer Prize for International Reporting for their work investigating a network of detention camps in Xinjiang, China using satellite imagery and architectural techniques. Her other investigations have included: understanding how social media can be used to track user's movements and migrant journeys. This segment of the TED Radio Hour was produced by Katie Monteleone and edited by Sanaz Meshkinpour.

As facial recognition software becomes easier to acquire, businesses are using it to surveil and analyze customers. Bloomberg's Parmy Olson explains where and how the technology is being deployed. Parmy Olson is a journalist and opinion columnist for Bloomberg. Previously, Olson wrote about technology for The Wall Street Journal and Forbes. In 2012, she published her book: We Are Anonymous: Inside the Hacker World Of LulzSec and the Global Cyber Insurgency.

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