Applied Machine Learning Foundations
Applied Machine Learning Foundations
MP4 | Video: AVC 1280x720 | Audio: AAC 48 kHz 2ch | Duration: 2 Hours 38M | 378 MB
Genre: eLearning | Language: English





Anyone who can write basic Python is capable of fitting a simple machine learning model on a clean dataset. The competitive edge comes in the ability to customize and optimize those models for specific problems. The workflow used to build effective machine learning models and the methods used to optimize those models are typically not algorithm or problem specific. In this course, the first installment in the two-part Applied Machine Learning series, instructor Derek Jedamski digs into the foundations of machine learning, from exploratory data analysis to evaluating a model to ensure it generalizes to unseen examples. Instead of zeroing in on any specific machine learning algorithm, Derek focuses on giving you the tools to efficiently solve nearly any kind of machine learning problem.
Enjoy!
[i][/i]Screenshots

Applied Machine Learning Foundations


Buy Premium Account for Download With Full Speed:



Links are Interchangeable - No Password - Single Extraction
20

Dear visitor, you went to the site as unregistered user.
We recommend you to register or enter the site under your name.
Information
Customers are in the group Guests, can not leave comments in the news.
Adding a comment
Name:*
E-Mail:
Code:
reload, if the code cannot be seen
Enter the code: