Tag: Facebook

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. This blog continues from GPT3 and AGI: Beyond the dichotomy – part one GPT3 and AGI Let’s first clarify what AGI should look like Consider the movie ‘Terminator’ When the Arnold Schwarzenegger character comes to earth – he is fully functional. To do so, he must be aware of the context. In other words, AGI should be able to operate in any context Such an entity does not exist And nor is GPT3 such an entity But GPT3 however has the capacity to respond ‘AGI-like’ to an expanded set ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Tetiana Mykhailyk. Artificial Intelligence (AI) seems to be seeping into every aspect of our life with AI-powered solutions positively changing tech and trade, healthcare, education and even our personal everyday life. On the daily, we are challenging the usual order of things by automating the mundane routine work and having smart devices assist us with our tasks. The shift to smart technologies and intelligent workspaces goes even beyond that. Business giants across industries have recognized the limitless possibilities brought on by the innovative technologies and leverage artificial intelligence services to transform the way they work ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sharmistha Chatterjee. Importance of C++ in Data Science and Big Data Introduction and Motivation – Why C++ C++ is ideal for dynamic load balancing, adaptive caching, and developing large big data frameworks, and libraries. Google’s MapReduce, MongoDB, most of the deep learning libraries listed below have been implemented using C++. Scylla known for its ultra-low latency and extremely high throughput is coded using C++ acts as a replacement to Apache Cassandra and Amazon DynamoDB. With some of the unique advantages of C++ as a programming language, (including memory management, performance characteristics, and systems programming), it definitely serves as one of the most efficient tools for developing fast scalable Data Science and Big Data libraries. Further, Julia (a compiled and interactive language – ... Read More

Feed: Neo4j Graph Database Platform. Author: Allison Wu. Editor’s Note: This presentation was given by Janos Szendi-Varga at NODES 2019 in October 2019.Presentation SummaryIn the last couple of years, chaos engineering has become very popular, with companies like Google and Netflix widely promoting it. Chaos engineering allows for fewer surprise breakdowns in production, as well as foreknowledge of how to save the day when bad things happen. In this post, we’ll discuss the history of chaos engineering, how to conduct an experiment, the tools you can use and, ultimately, how to do chaos engineering if Neo4j is part of your ... Read More

Feed: Teradata Blog. Gartner recently published this year’s Digital Marketing Hype Cycle, 2020 with “Customer Journey Analytics” and “Real-Time Marketing” both at the Peak of Inflated Expectations.  Inevitably, these two CX use cases will move into the Trough of Disillusionment as impatience for results and failure to deliver expected financial returns set in. This blog profiles early adopters for both Customer Journey Analytics and Real-Time Marketing who overcame initial hurdles and realized superior business outcomes.  By learning from these pioneers, you can reduce risk and accelerate value for your digital marketing initiatives.  Real-Time Marketing The relevancy and fit of offers ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Starting this month, we have merged the Power BI Desktop, Service and Mobile blogs, so there is one overview of everything that is new in this month. Many thanks to Sujata and Nikhil for owning the Desktop and Service/Mobile blogs! We are planning several other changes to the blog, so stay tuned. After 10 years, support for Windows 7 ended on January 14, 2020. In line with this, we will be stopping support for Power BI Desktop on Windows 7 on Jan 31st 2021. After that, Power BI Desktop ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Diego Lopez Yse. Do you think your actions are the result of your own free choices? What if those actions are the inevitable and necessary consequence of antecedent states of affairs? What does this mean for your free will? In a deterministic world where there’s an exclusive future for all our actions, digital users can become more predictable and monetizable than ever. In fact, by using creative designs and deceptive strategies, companies can create deterministic worlds and exploit the fact that human behaviour is hardwired to choose the path of least ... Read More

Feed: R-bloggers. Author: George Pipis. [This article was first published on R – Predictive Hacks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Few words about Thompson Sampling Thompson Sampling is an algorithm for decision problems where actions are taken in sequence balancing between exploitation which maximizes immediate performance and exploration which accumulates new information that may improve future performance. There is always a trade-off between exploration and exploitation in all Multi-armed bandit ... Read More

Feed: Planet MySQL; Author: Mike Frank; The Challenge Often with sensitive information, you need to have an audit log. Not just that a table had a select run, but that specific cells within the table were accessed.  Frequently data such as this will contain a classification level as part of the row, defining policies for how it is handled, audited, etc. Sensitive Data such as that might be labeled as –  Highly Sensitive  Top Secret  Classified  Restricted  Clearance Required  Highly Confidential  Protected Data that is categorized or labeled in some manner is typically covered by regulations requiring your compliance. Compliance ... Read More

Feed: Planet MySQL; Author: Joshua Otwell; I recently watched a fantastic Python Pandas library tutorial series on YouTube. Without a doubt, Pandas is great for all sorts of data stuff. On the same token, MySQL Shell in Python mode is quite powerful in the sense that Python and the MySQL Shell (version >= 8.0) are somewhat united in the same environment. Although Pandas is in a league all its own when it comes to data analysis, between the power of MySQL and Python, we can also perform some basic analysis easily in MySQL Shell Python mode. In this blog post, ... Read More