The Political Pendulum: Party Control and Strength in Congress
Datascience@Berkeley | Online Learning Blog
by Unknown author
3y ago
What does Congress look like after each election? The latest from datascience@berkeley visualizes the speed and strength of political shifts in Congress over time ..read more
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Cheer Smarter: Using Advanced Metrics to Analyze the Cost of Being a Sports Fan
Datascience@Berkeley | Online Learning Blog
by Unknown author
3y ago
Can one sports team be quantifiably more fun than the rest ..read more
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What Is Machine Learning?
Datascience@Berkeley | Online Learning Blog
by Unknown author
4y ago
Contributing Author Dr. Michael Tamir Whether you know it or not, you've probably been taking advantage of the benefits of machine learning for years. Most of us would find it hard to go a full day without using at least one app or web service driven by machine learning. But what is machine learning? Though the term machine learning has become increasingly common, many still don’t know exactly what it means and how it is applied. Nor do they understand the role of machine learning algorithms and datasets in data science. We will examine how machine learning is defined as a tool used by data s ..read more
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The Dollars Attached to a Career in Data Science
Datascience@Berkeley | Online Learning Blog
by Unknown author
4y ago
The median data scientist salary in the United States is $ 118,370 , according to the Bureau of Labor Statistics, more than twice as high as the national median salary1 and not far off from what doctors and attorneys make. It’s important to note, however, that the BLS categorizes data scientist roles within a broader category: computer and information research scientists. This means salary data for data scientist roles also falls under the broader category of computer and information research scientists. Data scientist — a job that includes making sense of large amounts of unstructured data ..read more
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Cybersecurity Salaries and Job Outlook
Datascience@Berkeley | Online Learning Blog
by Unknown author
4y ago
Gone are the days when a security guard, a card key, and your dog’s name as your password kept an airtight seal around you and your company’s private information. Technology is advancing at a rapid pace, and with it has come a barrage of cybercrime. As a result, cybersecurity professionals with expertise in protecting digital information are in high demand. As the lead federal agency for investigating cyberattacks, the FBI reports that cybercrime is a menacing threat that continues to grow. Computer and network invasions are one of the agency’s biggest concerns. “The collective impact is stag ..read more
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Big Data Isn’t a Concept — It’s a Problem to Solve
Datascience@Berkeley | Online Learning Blog
by Unknown author
4y ago
An estimated 5.9 million surveillance cameras keep watch over the United Kingdom. While this may sound intimidating to those unaware they are being surveilled, this network of closed-circuit TV cameras helped British authorities piece together the mysterious poisoning of Sergei Skripal, a former Russian intelligence officer turned double agent, and his daughter, Yulia. Super recognizers, people hired for their above-average ability to recognize faces, sorted through thousands of hours of video footage and eventually homed in on two particular suspects. The pair had flown into London’s Gatwick ..read more
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Python for Data Science
Datascience@Berkeley | Online Learning Blog
by Unknown author
4y ago
Programming languages that build the apps, programs and environments you use are sophisticated and, according to the TIOBE Index, there are more than 250 programming languages currently in existence. One of the most popular of these is Python, an open-source language that’s been around since February of 1991. Data scientists have been using Python regularly for years, but let’s take a closer look at what Python is and why it’s popular among data scientists. Introducing Python Python is an extensible and portable programming language that can be run on Unix, Mac, or Windows. Because of th ..read more
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The Power of Data: How Berkeley's I School is Bringing More Women into Data Science
Datascience@Berkeley | Online Learning Blog
by Unknown author
4y ago
by Dean Anno Saxenian It’s hard to go a week without seeing a new headline about the importance of data. It’s being used to prevent heart attacks, make factories more efficient, and power self-driving cars. Demand for data scientists is soaring: it’s the fastest growing job in the US, according to LinkedIn. But as data science becomes an increasingly crucial field, women are missing out: only about 26 percent of data jobs are filled by women. And more to the point, the world is missing out on them. Four years ago we did something that hadn’t been done before at the UC Berkeley School ..read more
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The Language of Data: Analyzing the State of the Union
Datascience@Berkeley | Online Learning Blog
by Unknown author
4y ago
Each president’s State of the Union address is an attempt to set the tone for his term in office — what are the administration’s goals, plans and promises? Those questions dominate the 24-hour news cycle around this yearly address to Congress. Nearly 50 million people tuned in to watch President Obama’s first State of the Union address in 2010. President Trump’s speech last year generated more than 4.5 million tweets, the most ever for a presidential address. It’s been more than a century since President Woodrow Wilson’s first State of the Union address, and while the language presidents use t ..read more
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The Damaging Effects of IP Theft
Datascience@Berkeley | Online Learning Blog
by Unknown author
4y ago
When New Balance came to China in 1995, it was expecting to leverage the country’s manufacturing benefits to produce shoes at a lower cost. It was not expecting more than 20 years of lawsuits over counterfeit sneakers, trademark violations, and a $16 million court ruling against the company in 2015 (later reduced to around $700,000 on appeal). At the core of New Balance’s woes across the Pacific was the theft of its intellectual property. The company initially licensed its shoe production to a Taiwanese factory. After the popularity of its “Classic” shoe took off, the factory ow ..read more
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