Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 239.24 MB | Duration: 1h 4m

A Dual Purpose Assessment in a Discussion Format: Ideal for Exam Preparation and Interview Readiness
What you'll learn
Supervised Learning
Unsupervised Learning
Deep Learning
How to answer technical questions in an interview
Test taking strategy
Requirements
This is a test to assess your knowledge of Machine Learning. So, knowledge of Machine Learning is required.
Description
Welcome to the Machine Learning Knowledge Assessment test! This test is designed to assess your understanding of key concepts and techniques in machine learning. The test consists of a combination of descriptive and multiple choice questions, and will provide you with an opportunity to demonstrate your knowledge and understanding of this exciting and rapidly growing field.Throughout the test, you will be asked to think critically about various concepts and techniques, and to apply your knowledge to real-world scenarios. The test is structured as a discussion, where the author asks the questions and provides explanations for the answers. This format allows you to deepen your understanding of the material as you progress through the test, and provides you with the opportunity to identify the answer before you listen to the explanations.Whether you are a student, a data scientist, or a professional looking to upskill in machine learning, this test provides a comprehensive assessment of your knowledge and understanding. By the end of the test, you will have a clear understanding of your strengths and weaknesses, and will be well-equipped to continue your journey in this exciting field. So let's get started, and see what you know about machine learning!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Test Prep - Descriptive Questions
Lecture 2 Part 1
Lecture 3 Part 2
Lecture 4 Part 3
Lecture 5 Part 4
Lecture 6 Part 5
Section 3: Test Prep - Multiple Choice Questions
Lecture 7 Part 1
Students,Young professionals,Recent graduates
Screenshots