Smart Bigdata (@ADataGirl) profile picture

Machine Learning and Econometrics

Long Beach, CA
Joined September 2017
Photo by Smart Bigdata (@ADataGirl)
Smart Bigdata retweeted
Researchers from the MIT-IBM Watson AI lab developed Neuro-Symbolic Concept Learner, which brings together symbolic AI and neural networks to make the technology more flexible – via @PCMag. ibm.co/2I9HDVt
Smart Bigdata retweeted
We investigate whether UGC has differential impacts on stock performance for B2B and B2C firms. We collect a #bigdatas of 84 million tweets from 20.3 million Twitter accounts and 8 years of stock data for 407 companies from the S&P500 index: doi.org/10.1016/j.indmarman.…
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Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods: doi.org/10.1016/j.indmarman.…
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Smart Bigdata retweeted
Organizations can quickly filter massive amounts of unstructured data to find insights using Watson Discovery services. Learn how to take advantage of #AI to turn data into insights with rapid results ► ibm.co/2u7butV
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If machine learning were a human, then soul is math & stats, body is algorithm & data structure, blood is #data. Coding connect all together
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Smart Bigdata retweeted
As IBM Watson technology continues to advance, we're implementing #AI training for employees to progress their skills and help them discover new business solutions. Read more via @FortuneMagazine. ibm.co/2WnBAFO
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Smart Bigdata retweeted
Onstage at #InsideAI, IBM Watson CMO @MichelleBB and @LegalMation co-founder and CSO Enoch Liang discuss how #AI enabled legal teams to reduce hours of litigation work to be completed in just minutes. Learn more ► ibm.co/2WkkjNP
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This paper uses #bigdata to study the impact of a luxury brand's social media marketing activities on customer engagement. The findings have important implications for the design, delivery, and management of social media marketing for luxury brands: doi.org/10.1016/j.jbusres.20…
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Smart Bigdata retweeted
How MIT, IBM and DeepMind are spearheading a project that enables neural networks to learn about the world by "seeing" and "reasoning." ibm.co/2M0kcD6
Are brand-targeting social #bots distorting information? A #bigdata analytics of #brand social bots on Twitter: researchgate.net/publication…
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Smart Bigdata retweeted
Replying to @DataminingGuru
This is so true. Even the @Pontifex is studying the impact of #AI and machine learning on humanity.
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Smart Bigdata retweeted
Replying to @TuringShield
#AI and #bigdata form a double-edged sword.
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Replying to @TuringShield
What is the ethical implication of artificial intelligence? Is it fair for giant companies to monopolize the #bigdata of consumer information?
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A company called @DuckDuckGo claims that it does not store search information as @Google does. @duckduckgo suggests its approach respects the user privacy
Replying to @TuringShield
What is the ethical implication of artificial intelligence? Is it fair for giant companies to monopolize the #bigdata of consumer information?
Smart Bigdata retweeted
"Over time, #machinelearning algorithms learn what is most effective, and they learn what is the most impactful. And that's a revolutionary change to how human beings will make decisions in the future." – @rwlord. ibm.co/2LQXopg
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Smart Bigdata retweeted
Learn how to make distributed biomedical data analysis easy. Meet highly demanding and unpredictable #healthcare HPC requirements using a scalable information management with IBM high performance data and #AI architecture to enhance workload ibm.co/2VFW25i
This JBR article uses big data analytics to derive quantifiable luxury insights (doi.org/10.1016/j.jbusres.20…). The top 15 luxury brands with the highest number of Twitter followers, identified from PMX Agency's (2017) list of luxury brands per Twitter follower counts, were included.
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This study ( doi.org/10.1016/j.jbusres.20… ) used a fixed-effects (FE) model to analyze panel data consisting of 900 monthly observations for 15 luxury brands. An interesting application of #bigdata analytics and natural language processing.
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Analyzing the impact of user-generated content on B2B Firms' stock performance: #Bigdata analysis with #machinelearning methods. This study (doi.org/10.1016/j.indmarman.…) investigates whether UGC has differential impacts on stock performance for B2B and B2C firms.
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The goal of this study (doi.org/10.1016/j.jbusres.20… …) is to utilize big data to investigate the effects of luxury brands' social media marketing on customer engagement.
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