Here at Smart Data Collective, we talk a lot about the benefits of artificial intelligence in the marketing profession. It is easy to see why this is such a core focus. There are hundreds of applications of big data for marketing. Most of our articles on artificial intelligence and big …

In this contributed article, Tim Parker, VP of Network Strategy at Flexential, provides the top four reasons your organization needs an edge strategy now. Edge computing enables efficient data processing near the source to minimize latency, reduce bandwidth usage and lower costs while improving compliance, security and resiliency.

Hadelin de Ponteves is a serial learner, an entrepreneur and a data scientist. After interviewing him for the DevJourney podcast, here are the key takeways I personally took out of the discussion.

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from …

I’ve been following the renamed COVID-19 epidemic closely since potential exponentials deserve that kind of attention. The last few days have convinced me it’s a good idea to start making contingency plans for machine learning conferences like ICML. The plausible options happen to be structurally aligned with calls to enable …

Today's feature podcast series comes from one my favorite data science blogs, Towards Data Science, which has consistently high-quality content to expand your knowledge of the field.

We recently hosted a live webinar — How Starbucks Forecasts Demand at Scale with Facebook Prophet and Databricks — During this webinar we learnt why Demand Forecasting is critical to Retail/ CPG firms and how it enables 22 other use cases. Brendan O’Shaughnessy, Data Science Manager at Starbucks walked us …

There is No Noise — Only BiasUnderstanding why noise in machine learning is nothing but biasIn this post, we explain how bias and noise in machine learning are two sides of the same coin.God does not play dice. — Albert EinsteinEinstein famously gave this statement in reaction to the emerging …

Check out this video on how Machine Learning / Artificial Intelligence combined with RPA can help scale automation across different departments in their organization. The post Edu-video | “How to Scale Automation in Banks, Financial Services and Insurance With Machine Learning and RPA Rec” appeared first on Starbridge Partners.

Today, Databricks announced that it is launching a new partnership with MathWorks, the leading developer of mathematical computing software, MATLAB, and Simulink products that are used by engineers and scientists globally. From medical devices to jets and autonomous cars, millions of engineers and scientists use MATLAB and Simulink to build …

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film projectPhoto by Kyle Smith on UnsplashOriginally posted on Toward Data Science.Hollywood is a $10 billion-a-year industry, and movies range from huge hits to box …

I had been looking for a good book to recommend to my "Introduction to Data Science" classes at UCLA as a text to use once my class completes ... sort of the next step after learning the basics. That's why I was looking forward to reviewing the new 3rd edition …

This free guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to uplift your model’s accuracy. Data scientists are constantly challenged with improving their ML models. But when a new algorithm won’t improve your AUC there’s only …

Machine learning engineers and data scientists frequently train models to optimize a loss function. With optimization methods like gradient descent, we iteratively improve upon our loss, eventually arriving at a minimum. Have you ever thought: Can I optimize my own productivity as a data scientist? Or can I visually see …

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from …

Introduction A daunting task in today’s day and age is to discover what are some of the best movies that are currently out there? What are people saying about these movies and what is that makes these movies good? This is a common question I find that I’m always asking …

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the …

In this contributed article, Mohammad Musa, Founder & CEO of Deepen AI, discusses how good data labeling leads to better results, whether it’s in autonomous cars, medical imaging, or any other industry where AI thrives. Done poorly, the entire system suffers. Inefficiencies and inaccuracies become inevitable, while major safety risks …