Goto

Collaborating Authors

Teach a machine to learn to recognize images, Audio & Poses

#artificialintelligence

Link: Teach a machine to learn to recognize images, Audio & Poses udemy couponed code This course model will teach you how to teach, train and create Machine Learning models faster, easier without writing a single line of code.by Kelvin Fosu What you'll learn Students will be excited about how machine learning works while they work on projects like images, sound and poses Students will learn to host their Machine Learning model for free Program a Machine Learning model without writing a single line of code. Students will learn to generate real TensorFlow format of their models to be used in websites, apps etc Description This course model will teach you how to teach, train and create Machine Learning models faster, easier without writing a single line of code. Just come as you are and leave with some understanding of Machine Learning. No prior knowledge is required.


Artificial & Machine Learning for AnyBody, Everybody and All

#artificialintelligence

This course model will teach you how to teach, train and create Machine Learning models faster, easier without writing a single line of code. Just come as you are and leave with some understanding of Machine Learning. No prior knowledge is required. Even little children can teach and train a Machine Learning model. There are interesting links to help us understand how AI & ML is/are changing society, the pros and cons and so much more.


On Education Decision Trees, Random Forests, AdaBoost & XGBoost in Python - all courses

#artificialintelligence

Get a solid understanding of decision tree Understand the business scenarios where decision tree is applicable Tune a machine learning model's hyperparameters and evaluate its performance. Use Pandas DataFrames to manipulate data and make statistical computations. Use decision trees to make predictions Learn the advantage and disadvantages of the different algorithms Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same You're looking for a complete Decision tree course that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right? You've found the right Decision Trees and tree based advanced techniques course! After completing this course you will be able to: Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning.


LSTM Build your deep learning portfolio: Meditations with

#artificialintelligence

Build your deep learning portfolio: Meditations with LSTM 3.7 (7 ratings) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. Build your deep learning portfolio: Meditations with LSTM With the help of this course you can In this deep learning tutorial I will teach you how to build an LSTM model, which generates text.. This course was created by David C. It was rated 4.2 out of 5 by approx 13447 ratings. The best Deep Learning courses online & Tutorials to Learn Deep Learning courses for beginners to advanced level. Deep learning courses is an artificial intelligence function that imitates the workings of the human brain in processing data and creating patterns for use in decision making.


Artificial Neural Networks (ANN) with Keras in Python and R

#artificialintelligence

Artificial Neural Networks (ANN) with Keras in Python and R, Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R Created by Start-Tech AcademyPreview this Course - GET COUPON CODE You're looking for a complete Course on Deep Learning using Keras and Tensorflow that teaches you everything you need to create a Neural Network model in Python and R, right? You've found the right Neural Networks course! After completing this course you will be able to: Identify the business problem which can be solved using Neural network Models. Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc. Create Neural network models in Python and R using Keras and Tensorflow libraries and analyze their results. Confidently practice, discuss and understand Deep Learning concepts How this course will help you?