Smart Data Collective

JUNE 12, 2019

Last year, the Washington Post reported that they adopted some new big data security standards. Big data is making it easier to keep your Gmail secure , but only if you take the right precautions. Big Data is the Fundamental Key to Gmail Security. Enhancing Your Gmail Security with Big Data.

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Smart Data Collective

JULY 1, 2019

Big data is rewriting the playbook for the criminal justice system. Oxford Research Encyclopedias has talked about some of the ways that criminal justice professionals are utilizing big data. Two significant applications really stand out the most: Big data is used extensively in criminal justice research.

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Smart Data Collective

SEPTEMBER 15, 2019

Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever.

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Dataconomy

JULY 4, 2023

Gartner coined the term “hyper automation” in 2019 to describe the integration of multiple automation technologies ( Image Credit ) What is hyper automation? ML algorithms enable systems to identify patterns, make predictions, and take autonomous actions.

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ODSC - Open Data Science

APRIL 28, 2023

But before AI/ML can contribute to enterprise-level transformation, organizations must first address the problems with the integrity of the data driving AI/ML outcomes. The truth is, companies need trusted data, not just big data. That’s why any discussion about AI/ML is also a discussion about data integrity.

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Smart Data Collective

AUGUST 11, 2021

Big data has become fundamentally important to the future of cybersecurity. A growing number of companies using data analytics, artificial intelligence and other forms of big data technology to bolster their defenses against cyberattacks. AI and Big Data Are Crucial to Cybersecurity in the Medical Field.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

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Smart Data Collective

SEPTEMBER 30, 2021

It’s no secret that artificial intelligence and technology has been developing quickly in recent times, with applications such as CAPTCHA that prevent bots from accessing sites, thermostats that adapt to our daily schedules or even algorithms that could choose potential vacation destinations for us. Wildlife Conservation.

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Smart Data Collective

AUGUST 29, 2019

The sales profession is responding to major changes brought by big data. The big data revolution is making the sales industry more efficient and effective than ever. In 2019, Forbes contributor Louis Columbus wrote a great article on the ways that big data is changing the sales and marketing profession.

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Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. Customer-focused analysis dominates Big Data initiatives. Debt and Income Ratio.

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Dataversity

FEBRUARY 16, 2022

Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day. In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. His research interest is in systems, high-performance computing, and big data analytics. He founded StylingAI Inc.,

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Data Science Dojo

OCTOBER 10, 2023

Building bridges : Think of a young developer who attended an AI conference back in 2019. These events often showcase how AI is being practically applied across diverse sectors – from enhancing healthcare diagnostics to optimizing financial algorithms and beyond. Want to build a career in Generative AI? Click below 2.

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Data Science Dojo

JUNE 6, 2023

Amazon Go, a cashier-less convenience store that debuted in 2019, is just one instance of how traditional industries are undergoing a digital upheaval. You may better plan your digital operations and allocate your resources with the data gleaned from a current status assessment.

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AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.

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Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data.

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KDnuggets

AUGUST 21, 2019

Utilizing stacking (stacked generalizations) is a very hot topic when it comes to pushing your machine learning algorithm to new heights. For instance, most if not all winning Kaggle submissions nowadays make use of some form of stacking or a variation of it.

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Smart Data Collective

FEBRUARY 25, 2021

We have talked a lot about the benefits of big data in marketing. billion in 2019. This figure is expected to rise sharply in the future as more companies are likely to discover the benefits data-driven marketing affords. Understanding the Benefits of Data-Driven Marketing. You have launched your startup.

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Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly.

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Smart Data Collective

JUNE 3, 2021

The market for data analytics in the insurance sector is projected to be worth nearly $22.5 Many of the applications of big data for insurance companies will be realized with machine learning technology. Reducing the churn rate : The algorithms are trained with huge amounts of data that the insurer already has on hand.

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AWS Machine Learning Blog

DECEMBER 4, 2023

His focus was building machine learning algorithms to simulate nervous network anomalies. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir.

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Smart Data Collective

JANUARY 14, 2021

In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms. Predictive analytics algorithms can look at various trends surrounding the business.

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Smart Data Collective

FEBRUARY 4, 2021

What changes can many brands in the e-commerce sector expect to witness from new developments in big data and machine learning ? In 2019, over 1.9 Machine learning algorithms make content personalization possible. Machine learning is among the biggest disruptive technologies to ever impact the field of online commerce.

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Smart Data Collective

MAY 28, 2019

The telecom industry is undergoing some major changes, due to advances in big data. Companies that rely heavily on telephone services should recognize this trend and use big data to get the most value from their services. One way that big data can be especially helpful is by monitoring the ROI of toll-free services.

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Smart Data Collective

AUGUST 12, 2019

The search engine optimization profession relies heavily on big data. Google is constantly developing new artificial intelligence algorithms to improve search engine results. It’s not surprising that links are among the top Google’s ranking factors for 2019. Create evergreen content . Broken link building .

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Smart Data Collective

MARCH 22, 2019

There are countless applications of machine learning in 2019. Developers must be aware of the numerous data fallacies that can tarnish the quality of their machine learning algorithms. Cherry picking updated algorithm changes while conducting manual edits. However, you are going to need to manually update your algorithms.

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Smart Data Collective

OCTOBER 14, 2019

.” Doing this protects the privacy of the people involved by ensuring that a malicious person could not trace a data source back to a single individual or otherwise reveal their identity. In September 2019, Google decided to make it’s Differential Privacy Library available as an open-source tool. Apache Drill.

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Smart Data Collective

APRIL 18, 2019

In January, Masergy predicted that 2019 will be “The Year of Artificial Intelligence.” There’s no question that the term is popping up everywhere as enterprises yearn to turn big data into a competitive edge. The same goes for cybersecurity. The Best Approach: Teams Backed by Technology.

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Flipboard

FEBRUARY 2, 2023

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1

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Smart Data Collective

AUGUST 25, 2021

Tools like Canva and BeFunky have a lot of sophisticated AI algorithms that make developing these designs easier than ever. In a 2019 survey of ~19,000 respondents run by DISQO, more than half of shoppers claim that they will most likely go for products that have labels on them rather than generic, undifferentiated items.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. Parallelism is suited for workloads that are repetitive, fixed tasks, involving little conditional branching and often large amounts of data.

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PyImageSearch

JANUARY 2, 2023

In addition to structuring data for research, machine learning (ML) can match patients to clinical trials, speed up drug discovery, and identify effective life-science therapies when applied to big data. Figure 7: AI in Dermatology (source: Liu and Bui, 2019 ). Figure 5: AI in Radiology (source: Quantib ).

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AWS Machine Learning Blog

NOVEMBER 27, 2023

While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data.

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Smart Data Collective

SEPTEMBER 30, 2021

It uses sophisticated AI algorithms to scan and detect vulnerabilities and cybersecurity flaws in your digital infrastructure, helping you avoid costly data breaches. Even though phishing assaults decreased in 2019, they still accounted for one out of every 4,200 emails in 2020. That’s over 20 every single day.

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Smart Data Collective

JUNE 26, 2019

Data-related blind spots could also exist in your statistical models. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable. Get Rid of Blind Spots in Statistical Models With Machine Learning.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Feature engineering Game tracking data is captured at 10 frames per second, including the player location, speed, acceleration, and orientation. and Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ). This is achieved through the Guided GradCAM algorithm ( Ramprasaath et al. ). Visualizing data using t-SNE.”

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Mlearning.ai

JANUARY 26, 2023

Video Presentation of the B3 Project’s Data Cube. Presenters and participants had the opportunity to hear about and evaluate the pros and cons of different back end technologies and data formats for different uses such as web-mapping, data visualization, and the sharing of meta-data. Data, 4(3), 94. 8659–8662).

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