TDWI Virtual Seminar

Hands-on Machine Learning with Python and TensorFlow

September 5, 2018

9:00 am - 5:00 pm Pacific Time

Duration: Full Day Course

Prerequisite: None

Deanne Larson, Ph.D.

DM, CBIP

President

Larson & Associates

Machine and deep learning capabilities are in high demand, and Python is the fastest-growing tool in machine and deep learning. TensorFlow is a Python library for fast numerical computing created and released by Google. This session will focus on a hands-on approach to using Python for machine learning and provide an introduction toTensorFlow.

You Will Learn

  • How to configure the Anaconda environment
  • Introduction on how to use Scikit-learn, Pandas, NumPy, SciPy, Matplotlib, and Seaborn
  • How to use Python basics such as basic math, data types, vectors, and calling functions
  • How to use advanced data structures such as data frames, lists, and dictionaries
  • How to do exploratory data analysis
  • How to use Python to support basic statistics, correlation, and covariance
  • How to use linear models such as linear regression and logistic regression
  • How to use models such as decision trees, random forest, and K nearest neighbor
  • How to use Tensorflow and Python

Geared To

  • Analysts new to Python and data science
  • Analysts looking to expand data analysis skills
  • Anyone looking to expand skills in data science programming tools

Prerequisites

  • Attendees should have a basic understanding of statistics
  • Attendees should be familiar with command line interfaces
  • Attendees should have Python basic programming experience
  • Attendees should have Anaconda installed for exercises (Instructions will be emailed to registrants prior to the event to prepare your laptop BEFORE the conference. There is no time allotted in class for laptop preparation.)

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TDWI Virtual Seminar

Virtual Seminar
September 5

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