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Michael Walker's Blog (96)

Models vs. Experiments

At the Rose Professional Data Science Practice, we see many organizations spending a majority of…
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Added by Michael Walker on November 17, 2013 at 8:30am — No Comments

Sensors Here, There and Everywhere

Smart organizations are using the power of data science and data produced by embedded sensors and machine devices to better measure performance, discover patterns, prevent problems, and improve…

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Added by Michael Walker on October 29, 2013 at 11:30am — 3 Comments

The Professionalization of Data Science

There has been much discussion and debate about the definition of data science and the new rare breed of sexy bird called the data scientist. The …

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Added by Michael Walker on October 22, 2013 at 10:13pm — 2 Comments

Fooled by Twitter Data

Data scientists must always remember that data sets are not objective -  they are selected, collected, filtered, structured and analyzed by human design. Naked and hidden biases in selecting,…

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Added by Michael Walker on October 7, 2013 at 9:14pm — No Comments

Random Forests Algorithm

One of the most popular methods or frameworks used by data scientists at the Rose Data Science Professional Practice Group is Random Forests. The…

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Added by Michael Walker on September 24, 2013 at 8:30pm — 1 Comment

High Performance Computing + Data Science = Competitive Advantage

High Performance Computing (HPC) plus data science allows public and private organizations get…

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Added by Michael Walker on September 17, 2013 at 12:28pm — 1 Comment

Hadoop 2 Helps Systems Integration



Apache Hadoop announced a beta release for Hadoop 2. The Hadoop-2.1.0-beta…

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Added by Michael Walker on September 3, 2013 at 9:31pm — No Comments

Prescriptive Analytics

Business analytics comes in three (3) general flavors: descriptive, predictive and prescriptive. See: …

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Added by Michael Walker on August 27, 2013 at 2:00pm — No Comments

Tool for Computing Continuous Distributed Representations of Words

Natural language processing (NLP) involves machine learning, artificial intelligence, algorithms and linguistics related to interactions between computers and human languages. One important goal…

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Added by Michael Walker on August 20, 2013 at 7:27pm — No Comments

Batch vs. Real Time Data Processing

Batch data processing is an efficient way of processing high volumes of data is where a group of transactions is collected over a period of time. Data is collected, entered, processed and then the batch results are…

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Added by Michael Walker on August 13, 2013 at 2:30pm — 2 Comments

Hadoop Falcon and Data Lifecycle Management

Data management in the Hadoop ecosystem is still in the early stages of development. The goal…

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Added by Michael Walker on July 30, 2013 at 12:13pm — No Comments

Demand for Data Scientists and the Datification of Business

Source: EMC2 Survey.

You cannot improve and manage what you cannot…
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Added by Michael Walker on July 16, 2013 at 1:00pm — 2 Comments

Data Science Summer Reading List 2013

Machine Learning: A Probabilistic Perspective, by Kevin Murphy.



Boosting: Foundations and Algorithms, by Robert E. Schapire.



Models Behaving Badly: Why Confusing Illusion with Reality Can Lead to Disaster, by Emanuel Derman.



Doing Data Science, by Cathy O'Neil and Rachel…

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Added by Michael Walker on July 9, 2013 at 3:00pm — 1 Comment

Data Scientists vs. Data Engineers

More and more frequently we see organizations make the mistake of mixing and confusing team roles on a data science or "big data" project - resulting in over-allocation of responsibilities assigned to …
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Added by Michael Walker on July 2, 2013 at 12:01pm — 9 Comments

Data Science and Predictive Analytics Strategy for Marketing

By developing a data science and predictive analytics strategy for marketing, organizations identify their most profitable customers, accelerate product innovation, optimize supply chains and pricing, and…
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Added by Michael Walker on June 19, 2013 at 9:39am — No Comments

Privacy vs. Security and Data Science

"They that can give up essential liberty to obtain a little temporary safety deserve neither liberty nor safety." – Benjamin Franklin

Recent revelations concerning the…
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Added by Michael Walker on June 12, 2013 at 3:30pm — No Comments

Data Scientists Sometimes Fool Themselves

The easiest person in the world to fool is yourself. Data scientists sometimes fool themselves - in matters trivial and important. Thus, I strongly suggest that we acknowledge real or subconscious biases in ourselves, the data, the analysis and group think. It is prudent for data science teams to have…

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Added by Michael Walker on June 6, 2013 at 12:11pm — No Comments

Statistics is Dead - Long Live Statistics!

As data science evolves into a separate and distinct scientific and business discipline, there is talk about the death of traditional statistics. It is true that today's large data sets are unlike the ones we analyzed in graduate statistics classes. It is also true that big data…

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Added by Michael Walker on May 30, 2013 at 5:00pm — 1 Comment

Smart Data Scientists Virtualize Data

Smart data scientists use data virtualization to integrate data from many diverse sources - logically and virtualized for on-demand consumption by different data analytical applications. For example, data virtualization is used to address challenges such as rogue data marts, business…
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Added by Michael Walker on May 16, 2013 at 6:30pm — 2 Comments

To Hypothesize or Not to Hypothesize

"Not everything that counts can be counted, and not everything that can be counted counts." - Albert Einstein

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Data Science is in the early stage of development and needs to develop canons to guide…

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Added by Michael Walker on May 8, 2013 at 4:49pm — No Comments

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