Comprehensive Machine Learning

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  • Reviews star_rate star_rate star_rate star_rate star_half 1131 Ratings
  • Course Code ACCEL-PYTH-CML
  • Duration 5 days
  • Available Formats Classroom

Comprehensive Machine Learning training class teaches experienced developers, architects, and team leaders the foundations of building machine learning solutions. Starting with data handling, going through data exploration, and finishing with an algorithms overview, this training provides students with the knowledge of modern tools and the appropriate way of thinking that are crucial for being successful with machine learning. Students then take their skills to the next level with the foundations of neural networks, deep learning, Keras, and TensorFlow to develop robust deep learning solutions.

Skills Gained

All students will:

  • Understand what is Machine Learning and which problems does it tackle.
  • Understand the Data Science pipeline.
  • Become familiar with the various tools in the Python ecosystem to handle data (clean and transform).
  • Understand the basics of descriptive statistics and probability for data exploration.
  • Using visualization libraries for gaining insight into the data.
  • Become familiar with using the wide variety of machine-learning algorithms.
  • Become familiar with Neural Networks
  • Gain an understanding of Machine Learning
  • Become familiar with Keras
  • Build models using TensorFlow
  • Understand Convolutional Neural Networks
  • Understand Recurrent Neural Networks

Prerequisites

No prior knowledge of machine learning, math or data science is required. However, all attendees should know the fundamentals of the Python programming language and feel confident with its syntax.

Course Details

Software Requirements

  • Windows, Mac, or Linux with at least 8 GB RAM
  • Anaconda for Python 3.x.

Machine Learning Training Outline

Introduction

The Concepts

  • What is Data Science?
  • The Role of Machine Learning
  • Use-cases
  • Quality of Data

Data Handling

  • NumPy Essentials
  • Introduction to Pandas
  • Working with DataFrames
  • Filtering
  • Vectorized Operations

Descriptive Statistics

  • Measures of Center
  • Measures of Dispersity
  • Correlations
  • Z-Test
  • Pandas and Descriptive Statistics

Visualization

  • Introduction to matplotlib
  • Creating Charts
  • The Seaborn Library
  • Complex Figures

Data Science

  • Introduction to Data Exploration
  • Scaling
  • Feature Selection
  • Feature Engineering

Algorithms Overview

  • Introduction to SKLearn
  • Supervised Learning
  • Regression vs. Classification
  • Overfitting vs. Underfitting
  • Algorithms
  • Linear Regression
  • Logistic Regression
  • Decision Tree (Bagging/RandomForest/GradientBoost)
  • K-Nearest Neighbors
  • Support Vector Machines (SVC/SVR)
  • Introduction to Unsupervised Learning
  • PCA
  • K-Means

Testing and Scoring

  • Overview of Scoring Methods
  • Cross-Validation

Neural Networks

  • Foundation for Neural Networks
  • Relus
  • Backpropagation
  • Regularization (L1, L2)

Deep Learning

  • What is Deep Learning?
  • Fully Connected Models
  • Using Keras and TensorFlow
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Text Processing
  • Loss Functions
  • Custom Architectures
  • Experiencing with TFLearn API
  • Discussion of well-known Architectures

Introduction to Reinforced Learning

Conclusion

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

Well organized course, supporting materials, and instructor. Good intro to AWS for various levels of participants - managers to developers.

Informative class with great instructure who was able to walk through the course material, answer all questions, and give great examples.

Warm greeting and excellent help. The eating area is always clean and well stocked

Excellent facilities, excellent staff.. and the coffee is good too! Thanks for helping to advance my career and the career of my colleagues!

course material well organized; Some material and labs out of date. instructor was outstanding and able to work around out of date materials.

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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