Flame Media
An experiment in mind over matter
In his series 'Redesign my Brain', award winning documentary maker Todd Sampson puts brain training to the test as he undergoes a radical brain makeover. The cutting edge new science of brain plasticity has found that anyone can become...
Curated Video
Machine Learning Random Forest with Python from Scratch - Quick Implementation of Random Forest Model
Let's quickly implement Random Forest using the sklearn Random Forest model to tune the model's performance according to the project. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Validating Accuracy of Batch Predictions
In this video, you will learn how to validate the accuracy of batch predictions. This clip is from the chapter "Project 1 - Banknote Authentication" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Predict Single and Batch Dataset
In this video, you will learn how to predict single and batch dataset. This clip is from the chapter "Project 1 - Banknote Authentication" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Adding Training Data
In this video, you will learn how to add training data. This clip is from the chapter "Project 1 - Banknote Authentication" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we will work on a...
Curated Video
Machine Learning Random Forest with Python from Scratch - Model and Training
Here, we will look at a machine learning model, an arithmetic expression or equation that fits and learns to predict data. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random Forest...
Curated Video
Machine Learning Random Forest with Python from Scratch - Dataset
In this lesson, we will dive into the hardcore process of machine learning and the fundamental elements used in machine learning, like datasets, training and testing data, outliers, models, and so on. This clip is from the chapter...
Coach Dan Blewett
We Need to Talk About Your Pitching Velocity Obsession.
Your pitching velocity obsession is getting out of control - if your self-worth is tied into the number you see on the radar gun? We've got a problem that more drills and training won't fix.
Curated Video
Practical Data Science using Python - Data Science Stages and Technologies
This video explains data science stages and technologies. This clip is from the chapter "Introduction to Data Science" of the series "Practical Data Science Using Python".This section introduces you to data science.
Curated Video
Risk Management 101 for IT Professionals Essential Concepts - Combined Risk Response Activities
This video explains combined risk response activities. This clip is from the chapter "Risk Responses and Controls" of the series "Risk Management 101 for IT Professionals: Essential Concepts".This section explains risk responses and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Implementation of DNN for COVID 19 Analysis: COVID19 Regression with TensorFlow
In this video, we will cover COVID19 regression with TensorFlow.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Learning Rate
In this video, we will cover DNN learning rate. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Training Process, Error, Cost and Loss
In this video, we will cover the training process, error, cost, and loss. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Training Exercise
In this video, we will cover machine learning model training exercise. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Transfer Learning: What is Transfer learning
In this video, we will explain what is transfer learning. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Organizational Communication Channel
Henri Fayol’s Principles of Classical Management
Henri Fayol created foundational concepts and theory in the classical management era and key principles of management and managerial responsibilties.
Australian Children's Television Foundation
Bushwhacked! - Series 2 - Episode 4 (Rodeo)
This week Kayne & Kamil prove they’re not a bunch of (rodeo) clowns when they get the chance to jump on a bucking bull and hang on for eight seconds – the shortest Bushwhacked! mission ever!
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building and Using the Model for Prediction - Project 1 - Banknote Authentication
In this video, you will learn how to build and use the model for prediction. This clip is from the chapter "Project 1 - Banknote Authentication" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section,...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building the Model - Project 4 - Wine Quality Prediction
In this video, you will learn how to build the model. This clip is from the chapter "Project 4 - Wine Quality Prediction" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we will work on a...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Adding and Joining Datasets
In this video, you will learn how to add and join datasets. This clip is from the chapter "Project 4 - Wine Quality Prediction" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we will work on a...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Getting Datasets for Practice
In this video, you will learn how to get datasets for practice. This clip is from the chapter "Congratulations and Next Steps" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".Welcome to the last section of our...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Q Learning - 3
This is the third of the three-part video that explains implementing Q-Learning. This clip is from the chapter "Naive Random Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...
Curated Video
Practical Data Science using Python - Linear Regression - Feature Scaling and Cost Functions
This video explains linear regression - feature scaling and cost functions. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - DropOut, Early Stopping and Hyperparameters
This video talks about DropOut, early stopping, and hyperparameters. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the...