Global Data Science Forum

52 Entries
 
 
2 months ago
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"Extend and embrace open source in SPSS Modeler, to programmatically perform tasks you can’t easily accomplish with out-of-the-box Modeler nodes. In this session, you will learn about ...

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2 months ago
1 person recommends this.

"The Jupyter notebook has quickly become one of data scientists’ favorite tools. When using them in IBM's Watson Studio, you get a complete platform for building an application - from ...

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2 months ago
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"Data science isn’t just creeping into areas of modern business, it’s being targeted in every department. Gone are the days where data science (DS) was a one-off project in hopes to ...

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2 months ago
1 person recommends this.

"This session will introduce Kaggle machine learning competition platform, and describe an effective methodology to fare well on it, developed by a Kaggle Grand Master. The methodology ...

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2 months ago
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"Data science is not only about machine learning. To be a successful data person, you also need a significant understanding of statistics. Gabriela de Queiroz walks you through the ...

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2 months ago
1 person recommends this.

"In this presentation, Erin LeDell (Chief Machine Learning Scientist, H2O.ai), will provide an overview of the field of "Automatic Machine Learning" and introduce the new AutoML functionality ...

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2 months ago
1 person recommends this.

"IBM is leading the industry in open source community engagement. Reflecting this external engagement into individual performance goals is challenging for both employees and managers. ...

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3 months ago
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Get a crash course on the what there is to learn and how to go about learning more. Deep Learning presents a simplified explanation of some of the hottest topics in data science today:


What ...

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3 months ago
2 people recommend this.

Byte Size Data Science - YouTube Channel
Jacques Roy
IBM Executive IT Specialist
Digital Technical Engagement, Watson Data and AI

Data science, machine learning, deep learning ...

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3 months ago
1 person recommends this.

Recently, a group of 10 IBM engineers working on data science and machine learning problems across genomics, transportation, energy, agriculture, and more participated in a 3-hour Reddit ...

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