Category Archives: Data Science News

Social networks constantly gather unlimited amounts of data. It is practically unthinkable for humans to sort this data, and examine it, or even utilise it. However, we do have artificial intelligence applications that are embedded in these social media frameworks. As a consequence, this technology takes different forms. Chatbots Chatbots are an artificial intelligence softwareContinue reading “Applications of Artificial Intelligence in Social Media”

Artificial Intelligence — to many it might remind of some “terminator sci-fi” where AI overruns humanity. However, in the real world, artificial intelligence has marked a huge impact in science, economics, and business. Today, brands are very dependent on these AI mechanisms to sustain the market and its trends. In popular opinion, if there is any change thatContinue reading “How Will AI Change the Face of Digital Marketing in 2021?”

If you are trying to find your first path into a Data Science career, then demonstrating the quality of your skills can be the greatest hurdle. While many standard projects exist for anyone to complete, creating an original data-driven project that attempts to solve some challenge is worth so much more. A good Data ScientistContinue reading “The Best Data Science Project to Have in Your Portfolio”

Also: Build Your First Data Science Application; 3 Ways Understanding Bayes Theorem Will Improve Your Data Science; Deep learning doesn’t need to be a black box; Essential Math for Data Science: Introduction to Matrices and the Matrix Product Originally from KDnuggets https://ift.tt/2O9pcqu source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-feb-1-7-how-to-create-stunning-visualizations-using-python-from-scratch-how-to-get-your-first-job-in-data-science-without-any-work-experience

As vectors, matrices are data structures allowing you to organize numbers. They are square or rectangular arrays containing values organized in two dimensions: as rows and columns. You can think of them as a spreadsheet. Learn more here. Originally from KDnuggets https://ift.tt/2MCA4Nk source https://365datascience.weebly.com/the-best-data-science-blog-2020/essential-math-for-data-science-introduction-to-matrices-and-the-matrix-product

At Cord, we’ve spent weeks interviewing data scientists, product owners, and distributed workforce providers. Below are some of our key learnings and takeaways for successfully establishing and scaling a training data pipeline. If you’ve ever dabbled in anything related to machine learning, chances are you’ve used labeled training data. And probably lots of it. YouContinue reading “Why You Should Ditch Your In-House Training Data Tools (And Avoid Building Your Own)”

A recommender system, or a recommendation system, is a subclass of information filtering system that seeks to predict the “rating” or… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/top-5-open-source-machine-learning-recommender-system-projects-with-resources-50583c4007c3?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-5-open-source-machine-learning-recommender-system-projects-with-resources

How Do Machines Learn: A Simple Explanation Get the fundamentals straight before you jump into AI Photo by Brett Jordan on Unsplash My introduction to the world of data science was through a university course called Introduction to Machine Learning I took during my bachelor’s. And it was, by far, my least favorite class of all time.Continue reading “How do machines learn: a simple explanation”

The cultural perception of AI is often suspect because of the described challenges in knowing why a deep neural network makes its predictions. So, researchers try to crack open this “black box” after a network is trained to correlate results with inputs. But, what if the goal of explainability could be designed into the network’sContinue reading “Deep learning doesnt need to be a black box”

This article will shed some light on processes happening under the roof of ML-based solutions on the example of the business case where the future success directly depends on the ability to predict unknown values from the past. Originally from KDnuggets https://ift.tt/2YKWvCv source https://365datascience.weebly.com/the-best-data-science-blog-2020/backcasting-building-an-accurate-forecasting-model-for-your-business