Wed.Aug 21, 2019

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Automated Business Analysis Is Spotting Insights Humans Missed

Corinium

Data overload is a growing problem for enterprise businesses. Analysis teams must often work manually to navigate seas of data and generate the specific insights their colleagues request.It can take multiple analysts weeks to gather, integrate and process the data they need. As a result, the insights they uncover may no longer useful by the time they’re generated.

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How can you Convert a Business Problem into a Data Problem? A Successful Data Science Leader’s Guide

Analytics Vidhya

Overview Effectively translating business requirements to a data-driven solution is key to the success of your data science project Hear from a data science. The post How can you Convert a Business Problem into a Data Problem? A Successful Data Science Leader’s Guide appeared first on Analytics Vidhya.

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Take Advantage Of The Top 16 Sales Graphs And Charts To Boost Your Business

datapine

Billionaire Tilman Fertitta walks into the room. You can’t believe this heavyweight, the CEO and sole owner of multiple restaurant franchises, has given you the time of day. Tilman sits down, settles himself, and glances at the clock. “Well friend,” he says, “I have about three or four minutes before I have to get out of here. What do you wanna know?”.

Sales 235
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Data: The New Weapon Against our Humanity

Corinium

What does a new device, downloading of an app, signing up on a platform all have in common……the “accepting” of t’s & c’s. I, like many other unsuspecting individuals, blindly and unknowingly say “ok” to the t’s & c’s without fully understanding what they really mean or how my data will be used, let alone knowing the potential impact it could have on decisions I don’t make….

IT 150
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Understanding Decision Trees for Classification in Python

KDnuggets

This tutorial covers decision trees for classification also known as classification trees, including the anatomy of classification trees, how classification trees make predictions, using scikit-learn to make classification trees, and hyperparameter tuning.

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How Data Analytics Can Help You Grow Your Business

Smart Data Collective

Setting up a business is probably the most difficult part of every entrepreneur’s journey. It requires dedication, contemplation, a lot of effort, and a bit of foresight. Once you build it from the ground up, you should know that your work doesn’t stop there. On the contrary, the moment you start settling in, you need to do some thinking again. You might wonder why that is necessary.

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Is Big Data Leading to More Quantitative Strategic Decision Making Models?

Smart Data Collective

Big data is changing the future of organizational decision making. Belkacem Athamena, a professor at Al Ain University of Science and Technology wrote a white paper on the evolution of big data in decision making. Companies will place a greater emphasis on quantitative decision-making models than ever before, since new big data technology has made it more reliable.

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Automate Stacking In Python: How to Boost Your Performance While Saving Time

KDnuggets

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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How Big Data Could Spare Seniors From A Terrifying Retirement Crisis

Smart Data Collective

Millman has introduced some articles on the benefits of big data in the retirement industry. Wade Matterson wrote an article on LinkedIn on the value of big data for solving the retirement riddle. A growing body of research shows that big data can be invaluable for people planning for retirement. Predictive analytics and machine learning can help give some more perspectives on how retirees live , which can help them forecast their financial needs in their Golden Years.

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Comparing Decision Tree Algorithms: Random Forest vs. XGBoost

KDnuggets

Check out this tutorial walking you through a comparison of XGBoost and Random Forest. You'll learn how to create a decision tree, how to do tree bagging, and how to do tree boosting.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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4 Signs Your Business Needs Professional IT Support

Smart Data Collective

American small and medium-sized businesses spend nearly $700 billion a year on technology. Utilizing the power of technology is essential when trying to gain a competitive edge. The more software programs and apps you have in place, the higher the need for professional information technology support will become. The biggest mistake you can make as a modern business owner is assuming you can maintain and repair the technology currently in place.

IT 71
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University of North Florida: Data Scientist [Jacksonville, FL]

KDnuggets

Seeking a Data Scientist to design, develop, and execute data analytics projects and initiatives, and deliver findings and recommendations to support the mission of the university.

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Are SMEs Equipped To Master Data Science?

Smart Data Collective

A 2015 paper by the World Economic Forum showed that big data might just be a fad. The article certainly raised a lot of controversy, considering the massive emphasis on the value of data technology. However, the article raised some very valid points. The article was not arguing that big data is going to go obsolete. Rather, the point was that big data is one tool in any organization’s arsenal.

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Smarten Augmented Analytics: Sophistication and Simplicity

Smarten

Discover the Smarten approach to Augmented Analytics and Advanced Data Discovery tools. These tools allow business users to leverage augmented analytics that provide guides and suggestions to help the business user more quickly and effectively produce clear advanced analytics with little to no training, thereby transforming the average business user into a Citizen Data Scientist.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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KDnuggets™ News 19:n31, Aug 21: Become a Marketable Data Scientist; Data Science Command Line Basics; Chatbots with Keras

KDnuggets

This week's news: Become More Marketable as a Data Scientist; Command Line Basics Every Data Scientist Should Know; Chatbots with Keras!; Understanding Cancer using Machine Learning; Statistical Modelling vs Machine Learning; Is Kaggle Learn a "Faster Data Science Education?"; and much more!

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Machine Learning Provides An Edge With Amazon FBA Product Selection

Smart Data Collective

Machine learning is tremendously beneficial for many e-commerce companies. Marketing expert and founder of Crazy Egg, Neil Patel, has discussed the benefits of machine learning in e-commerce. They are using machine learning and predictive analytics to forecast market trends , which can be very useful as they strive to grow. One of the biggest applications of machine learning in e-commerce is with identifying market trends.

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Top KDnuggets tweets, Aug 14-20: Researcher reproduced 130 research papers on “predicting the stock market”, coded them from scratch.

KDnuggets

Also: For data pros only - An SQL Query walks into a bar and sees two tables; Deep Learning for NLP: Creating a Chatbot with Keras!; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Wanting to be even more marketable as a data scientist? Check out these trends in the skills employers are looking for today.

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Why Big Data Is Essential To Digital Product Sales

Smart Data Collective

Big data is changing the future of the retail industry. One study found that the value of big data in this sector was worth $3.45 billion in 2018. Big data is especially important in the eCommerce industry, since the market is digital. Smart marketers will look at ways to utilize it. Big data is going to be even more important for companies selling digital products online.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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The Secret to Jumpstarting Your AI Strategy

CDW Research Hub

Organizations across all industries are seeing the value and competitive advantage of having an artificial intelligence (AI) strategy. AI applications include consumer sentiment analysis, market prediction and fraud risk, drug discovery and genomics, video classification, medical imaging, language processing, and sensor analysis, and numerous other AI use cases.