INFINITESKILLS_SCALABLE_MACHINE_LEARNING_TRAINING_VIDEO_TUTORIAL-kEISO
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[PUBLISHER] INFINITESKILLS ██
[RUNTIME ] 03H 00M [LINK] ██
[LEVEL ] BEGINNER [TYPE] RETAIL ██
[ISO SIZE ] 882.221.056 B [CHKS] EB298D49 ██
[ON STORE ] 2016.01.14 [$$$$] 200000000000 DOLLAR ██
[DISKNAME ] keiso_issml ██
[HELD BY ] MIKIO BRAUN ██
██
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Machine-learning expert Mikio Braun moves budding data ██
scientists into the world of big data with this overview of ██
how to do complex data analysis at scale. You'll learn the ██
general concepts behind machine learning, compare small ██
scale and large scale data analysis algorithms, and review ██
the basics of the architectures used in large-scale ██
distributed processing. You'll then explore the use of ██
Spark programming for data flow systems,and the many uses ██
of approximation. Braun also outlines evaluation, feature ██
extraction, and model-selection computing costs in big data ██
analysis. The video closes with a discussion of the ██
relationship between the amount of available data and the ██
complexity of the learning problem. ██
- Review machine learning concepts such as fitting a model ██
to data ██
- Learn core concepts behind large scale algorithms like ██
stochastic gradient descent ██
- Review the architectures used in Hadoop-based systems and ██
data flow systems ██
- Explore resilient distributed dataset structures, ██
vectors, and matrices using Spark ██
- Review Sparks's machine libraries and how to run basic ██
machine learning tasks ██
- Understand the use of approximation in optimization and ██
compressing feature spaces ██
- Learn what makes data "complex" ██
Mikio Braun is a data scientist researcher, a start-up ██
entrepreneur, and the on-going creator of jblas, the open ██
source library for fast linear algebra in Java. He has a ██
Ph.D. in Computer Science, and works at Zalando. ██
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Files
| Path | Size |
|---|
| keiso_issml.nfo | 13,61 KB |
| keiso_issml.r00 | 47,68 MB |
| keiso_issml.r01 | 47,68 MB |
| keiso_issml.r02 | 47,68 MB |
| keiso_issml.r03 | 47,68 MB |
| keiso_issml.r04 | 47,68 MB |
| keiso_issml.r05 | 47,68 MB |
| keiso_issml.r06 | 47,68 MB |
| keiso_issml.r07 | 47,68 MB |
| keiso_issml.r08 | 47,68 MB |
| keiso_issml.r09 | 47,68 MB |
| keiso_issml.r10 | 47,68 MB |
| keiso_issml.r11 | 47,68 MB |
| keiso_issml.r12 | 47,68 MB |
| keiso_issml.r13 | 47,68 MB |
| keiso_issml.r14 | 47,68 MB |
| keiso_issml.r15 | 47,68 MB |
| keiso_issml.r16 | 1,86 MB |
| keiso_issml.rar | 47,68 MB |
| keiso_issml.sfv | 468 B |