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How to Leverage Machine Learning for AML Compliance

BizAcuity

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Exploratory Data Analysis (EDA) EDA is used to analyze data and summarize their main properties and characteristics using visual techniques.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. EDA is used to analyze data and summarize their main properties and characteristics using visual techniques. OCR is widely used to digitize all kinds of physical documentation.

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Smarten Announces Free Online Citizen Data Scientist Course Available to All!

Smarten

It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference. It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making.

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Five machine learning types to know

IBM Big Data Hub

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. temperature, salary).

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Like a vast majority on planet Earth, I love data visualizations. Ok, so perhaps as the author of two bestselling books on analytics I love it a little bit more! A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 2) Data Discovery/Visualization. Data exploded and became big.

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Traditional & Modern BI and Analytics: A Perfect Combination Solutions!

Smarten

In order to clarify the importance of this combined solution approach, it is important to understand the difference between Traditional BI tools and Modern BI and Analytics Tools. Traditional BI tools support power business users with self-serve report creation – all without the need for SQL skills or IT assistance. .