Build Machine Learning Models and Neural Networks - Total Mastery Bundle
Created by Team Mammoth
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44 lectures
01
Skill level
All levels
02
Sections
7
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Lectures
44
04
Instructor
Team Mammoth
What's inside
This course includes.
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7
Sections
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 01 Build Beginner Models in TensorFlow 2.0 3 lectures Preview
01-01 Course Overview
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01-02 Build Models On The Web
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Full Course Source Files
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+ 02 AI Uninformed Search Algorithms 10 lectures
02-01 What Are Search Algorithms
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02-02 Depth First Search
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02-02b Build A Depth First Search Algorithm
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02-03 What Is Breadth First Search (bfs)
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02-03b Build A Breadth First Search Algorithm
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02-04 Depth Limited Search
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02-05 Iterative Deepening Depth First Search
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02-06 What Is Uniform Cost Search
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02-06b Build A Uniform Cost Search Algorithm
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02-07 Bidirectional Search
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+ 03 AI Informed Search Algorithms 4 lectures
03-01 What Are Informed Search Algorithms
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03-02 What Is Greedy Best-first Search
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03-02b Build A Greedy Best First Search Algorithm
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03-03 What Is A Search
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+ 04 How Machine Learning Works 6 lectures
04-01 How Does A Machine Learning Agent Learn
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04-02 What Is Inductive Learning
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04-03 Make Decisions With Decision Trees
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04-04 Performance Of A Machine Learning Algorithm
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04-05 Handle Noise In Data
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04-06 Statistical Learning
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+ 05 Logistic Regression 11 lectures
01 What Is Logistic Regression
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03 Prepare Data For Logistic Regression
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03a How To Prepare Data
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-04 Build A Logistic Regression Model
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04a How To Build A Logistic Regression Model
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04b What Is Optimization
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05 Optimize The Logistic Regression Model
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05a How To Optimize A Logistic Regression Model
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06 Train The Model
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07 Test The Model
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08 Visualize Results
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+ 06 Gradient Boosted Classification 7 lectures
01 What Is Gradient Boosting
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02 Prepare Data For Gradient Boosted Classification
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03 Build Binary Classes
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04 How To Shape Data For Classification
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04b Shape Data For Classification
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05 How To Build A Boosted Trees Classifier
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05b Build A Boosted Trees Classifier
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+ 07 Gradient Boosted Regression 3 lectures
07.01 Build Input Functions
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07.02 Build A Boosted Trees Regressor
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07.03 Train And Evaluate The Model
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Instructors
Taught by people who ship.
Team Mammoth
Instructor
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
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