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Marc Borowczak
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  • Newark, OH
  • United States
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LUIS GUILLERMO MERCHANCANO LERMA liked Marc Borowczak's discussion Migrating an Excel Spreadsheet to MySQL and to Spark 2.0.1 (Part 1)
Wednesday
Rajendra Timilsina, Ph. D. liked Marc Borowczak's discussion Migrating an Excel Spreadsheet to MySQL and to Spark 2.0.1 (Part 1)
Tuesday
Alfred liked Marc Borowczak's discussion Migrating an Excel Spreadsheet to MySQL and to Spark 2.0.1 (Part 1)
Jun 28
Scott Amrozowicz liked Marc Borowczak's discussion Migrating an Excel Spreadsheet to MySQL and to Spark 2.0.1 (Part 1)
May 25
Joseph Coelho liked Marc Borowczak's discussion Benchmarking 20 Machine Learning Models Accuracy and Speed
Apr 30
vijay v liked Marc Borowczak's discussion Benchmarking 20 Machine Learning Models Accuracy and Speed
Apr 29
Fred Viole replied to Marc Borowczak's discussion Benchmarking 20 Machine Learning Models Accuracy and Speed in the group Resources
"None of these examples seem to have the data separated into training and test sets.  Could you please share where this step is taken in the code in the linked full analysis?  Otherwise, are we to assume these reported accuracy numbers…"
Apr 25
Derek Christensen liked Marc Borowczak's discussion Benchmarking 20 Machine Learning Models Accuracy and Speed
Apr 24
Aravind Reddy liked Marc Borowczak's discussion Benchmarking 20 Machine Learning Models Accuracy and Speed
Jan 30
Rajendra Timilsina, Ph. D. liked Marc Borowczak's discussion Benchmarking 20 Machine Learning Models Accuracy and Speed
Jan 19
Marc Borowczak posted a blog post

Migrating an Excel Spreadsheet Directly to HDFS and Spark 2.0.1 (Part 2)

Recently, in a previous post, we reviewed a path to leverage legacy Excel data and import CSV files thru MySQL into Spark 2.0.1. This may apply frequently in businesses where data retention did not always…See More
Oct 25, 2016
Marc Borowczak's blog post was featured

Migrating an Excel Spreadsheet Directly to HDFS and Spark 2.0.1 (Part 2)

Recently, in a previous post, we reviewed a path to leverage legacy Excel data and import CSV files thru MySQL into Spark 2.0.1. This may apply frequently in businesses where data retention did not always…See More
Oct 25, 2016
Marc Borowczak replied to Marc Borowczak's discussion Migrating an Excel Spreadsheet to MySQL and to Spark 2.0.1 (Part 1) in the group Resources
"Mouloud, Thanks for feedback and inquiry. The only drawback I see is that you need to declare every field type...  Look for an upcoming post where I propose a direct CSV read method into a pyspark.sql.dataframe. Glad it is helping you... Marc"
Oct 17, 2016
mouloud amazouz replied to Marc Borowczak's discussion Migrating an Excel Spreadsheet to MySQL and to Spark 2.0.1 (Part 1) in the group Resources
"Thanks Mark, Interesting post. Are there any limitations in MySQL in term of number of columns or shoul you denormalize your data. Thanks, Mouloud"
Oct 17, 2016
Marc Borowczak's discussion was featured

Migrating an Excel Spreadsheet to MySQL and to Spark 2.0.1 (Part 1)

Moving legacy data to modern big data platform can be daunting at times. It doesn’t have to be. In this short tutorial, we’ll briefly review an approach and demonstrate on my preferred data…See More
Oct 14, 2016
Marc Borowczak added a discussion to the group Resources
Thumbnail

Migrating an Excel Spreadsheet to MySQL and to Spark 2.0.1 (Part 1)

Moving legacy data to modern big data platform can be daunting at times. It doesn’t have to be. In this short tutorial, we’ll briefly review an approach and demonstrate on my preferred data…See More
Oct 14, 2016

Profile Information

Short Bio
Accomplished Innovation Leader and Research Scientist skilled in polymers, rubber, composites, coatings materials characterizations. Expert in mechanical properties characterization, adhesion, durability, life prediction, quality and data analysis. In 2015, completed Data Science Specialization Track, and all modules of Executive Data Science and Genomics Data Science with distinction at Johns Hopkins University. Consult on composites, polymers, rubber compounds, plastics, and engineered products, mapping performance and value definition. Fluent French, German, and English. US citizen, born and educated in EU.

Innovation: Known as an creative problem solver, product developer, and prolific inventor, credited with more than 10 US Patents and numerous Trade Secrets. Passionately engaged in Data Analysis, Material Science, R&D, Sustainability, Value Innovation and Sustainability.

Leadership: Builds, recruits and develop highly effective teams that solve “impossible” problems.

Teaching and Mentoring: Adjunct Professor, Chemistry & Physics Departments, Kent State and Walsh Universities. Rebuilt curriculum for Goodyear Institute of Technology, a University of Akron accredited program.

Special Interests: Machine Learning, Natural Language Processing, Data Analytics, R, Bioconductor, Value Innovation, FEI, Testing and Data Analysis.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/marcborowczak
Field of Expertise
Analytics, Other, Data Science
Professional Status
Consultant
Years of Experience:
30+
Your Company:
PRC Consulting, LLC
Industry:
Consulting
Your Job Title:
Founder & Chief strategist
How did you find out about DataScienceCentral?
LinkedIn
Interests:
Finding a new position, Networking, Other
What is your Favorite Data Mining or Analytical Website?
http://cloudera.com
What Other Analytical Website do you Recommend?
http://Google.com/analytics/

Marc Borowczak's Blog

Migrating an Excel Spreadsheet Directly to HDFS and Spark 2.0.1 (Part 2)

Posted on October 23, 2016 at 5:30am 0 Comments

Recently, in a previous post, we reviewed a path to leverage legacy Excel data and import CSV files thru MySQL into Spark 2.0.1. This may apply frequently in…

Continue

Expand Machine Learning Tools (Part2): Toree Scala and Python in Jupyter Notebook

Posted on June 9, 2016 at 10:30am 0 Comments

Data Analytics favorite Apache Spark,  is progressing as a reference standard for Big Data, and a “fast and general engine for large-scale data processing”. In our previous post, we detailed how to expand ML tools using a PySpark kernel and leverage the …

Continue

Expand Machine Learning tools: Configure Jupyter/IPython notebook for PySpark 1.6.1

Posted on May 26, 2016 at 6:43am 0 Comments

Data Analytics favorites include Apache Spark, which is becoming a reference standard for Big Data, as a “fast and general engine for large-scale data processing”. Its built-in PySpark interface can run as a …

Continue

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