Mammoth Club All levels 10 sections 66 lectures

Build Machine Learning Models

Constructing Advanced Machine Learning Models

01
Skill level
All levels
02
Sections
10
03
Lectures
66
04
Instructor
John Bura
What's inside

This course includes.

10
Sections
66
Lectures
64
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

10 sections · 66 lectures
+ 00a Intro to Tensorflow 10 lectures
00 Course Intro Locked
01 Intro to Tensorflow Locked
02 Installing Tensorflow Locked
03 Intro to Linear Regression Locked
04 Linear Regression Model - Creating Dataset Locked
05 Linear Regression Model - Building the Model Locked
06 Linear Regression Model Creating a Loss Function Locked
07 Linear Regression Model - Training the Model Locked
08 Linear Regression Model - Testing the Model Locked
09 Summary and Outro Locked
+ 00b Image Recognition with MNIST 10 lectures
00 Course Intro Locked
01 Intro to Image Recognition Locked
02 Intro to MNIST Locked
03 Building a CNN Part 1 - Obtaining Data Locked
04 Building a CNN Part 2 - Building the Model Locked
05 Building a CNN Part 3 - Adding Loss and Optimizer Functions Locked
06 Building a CNN Part 4 - Train and Test Functions Locked
07 Building a CNN Part 5 - Train and Test the Model Locked
08 MNIST Image Recognition with Keras Sequential Model Locked
09 Summary and Outro Locked
+ 01 Build Beginner Models in TensorFlow 2 2 lectures
01 Course Overview Locked
02 Build Models on the Web Locked
+ 02 AI Uninformed Search Algorithms 10 lectures
01 What are Search Algorithm Locked
02 Depth First Search Locked
02b Build a Depth First Search Algorithm Locked
03 What is Breadth First Search (bfs) Locked
03b Build a Breadth First Search Algorithm Locked
04 Depth Limited Search Locked
05 Iterative Deepening Depth First Search Locked
06 What is Uniform Cost Search Locked
06b Build a Uniform Cost Search Algorithm Locked
07 Bidirectional Search Locked
+ 03 AI Informed Search Algorithms 4 lectures
01 What are Informed Search Algorithm Locked
02 What is Greddy Best-first Search Locked
02b Build a Greedy Best First Search Algoirthm Locked
03 What is a Search Locked
+ 04 How Machine Learning Works 6 lectures
01 How Does a Machine Learning Agent Learn Locked
02 What is Inductive Learning Locked
03 Make Decisions with Decision Trees Locked
04 Performance of a Machine Learning Algorithm Locked
05 Handle Noise in Data Locked
06 Statistical Learning Locked
+ 05 Logistic Regression 11 lectures
01 What is logistic regression Locked
03 Prepare data for logistic regression Locked
03a How to prepare data Locked
04 Build a logistic regression model Locked
04a How to build a logistic regression model Locked
04b what is optimization Locked
05 Optimize the logistic regression model Locked
05a How to optimize a logistic regression model Locked
06 Train the model Locked
07 Test the model Locked
08 Visualize Results Locked
+ 06 Gradient Boosted Classification 7 lectures
01 What is gradient boosting Locked
02 Prepare data for gradient boosted classsification Locked
03 Build binary classes Locked
04a How to shape data for classification Locked
04b Shape data for classification Locked
05a How to build a boosted trees classifier Locked
05b Build a boosted trees classifier Locked
+ 07 Gradient Boosted Regression 3 lectures
07-01 Build Input Functions Locked
07-02 Build a Boosted Tress Regressor Locked
07-03 Train and Evaluate the Model Locked
+ 08 Supervised Learning Introduction 3 lectures
01 What you'll Learn Locked
02 What is Supervised Learning Locked
03 Build Models on the Web Locked
Description

About this course.

Course Title: "Build Machine Learning Models"

Course Description:
Embark on an exciting journey into the realm of machine learning with our comprehensive course, "Build Machine Learning Models." Tailored for both beginners and those looking to deepen their understanding of machine learning concepts, this program provides a hands-on approach to building and deploying machine learning models using TensorFlow and exploring fundamental algorithms.

Throughout the course, participants will engage in practical exercises, real-world projects, and collaborative activities to reinforce their understanding of machine learning concepts. By the end of the program, learners will have acquired the skills and knowledge needed to build and deploy machine learning models across various domains.

Join us in the "Build Machine Learning Models" course and unlock the transformative potential of machine learning in your projects and endeavors.
Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

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Constructing Advanced Machine Learning Models

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