Listen to Learn : Improving Focus while Listening
Whenever it comes to improving your memory skills, we are always focused on improving reading skills and retention skills. But what about listening skills?
Listening is the first step in which information gets introduced. But you still take your listening skills for granted, assuming it will be focused on when required. I am sure that is not helping you.
Same goes for e-courses. People think watching videos is a simple activity, and assume that they will automatically be focused while listening to them. But I am sure that you have experienced that it’s not so easy to listen with concentration. That is why I have created this course.
By the end of this course you will learn:
8 mindsets shifts to make you a better listener
Body language tips to automatically improve your concentration while listening
Effective note-making skills to retain the maximum of what you are learning
Watching an e-learning course in a way to maximize learning
This course is for:
A high school to post graduation student
A professional who has to attend trainings
A person who love to learn via online e courses
Should know the importance of improving listening skills
What will you learn
Avoiding the embarrassment of not missing something important while listening.
Actively engaging with the speaker and not feeling sleepy while listening
Saving time on self-study as important concepts are already understood in the class
Listening to videos without losing concentration
This complete Machine Learning full course video covers all the topics that you need to know to become a master in the field of Machine Learning.
Machine Learning Full Course | Learn Machine Learning | Machine Learning Tutorial
It covers all the basics of Machine Learning (01:46), the different types of Machine Learning (18:32), and the various applications of Machine Learning used in different industries (04:54:48).This video will help you learn different Machine Learning algorithms in Python. Linear Regression, Logistic Regression (23:38), K Means Clustering (01:26:20), Decision Tree (02:15:15), and Support Vector Machines (03:48:31) are some of the important algorithms you will understand with a hands-on demo. Finally, you will see the essential skills required to become a Machine Learning Engineer (04:59:46) and come across a few important Machine Learning interview questions (05:09:03). Now, let's get started with Machine Learning.
Below topics are explained in this Machine Learning course for beginners:
Basics of Machine Learning - 01:46
Why Machine Learning - 09:18
What is Machine Learning - 13:25
Types of Machine Learning - 18:32
Supervised Learning - 18:44
Reinforcement Learning - 21:06
Supervised VS Unsupervised - 22:26
Linear Regression - 23:38
Introduction to Machine Learning - 25:08
Application of Linear Regression - 26:40
Understanding Linear Regression - 27:19
Regression Equation - 28:00
Multiple Linear Regression - 35:57
Logistic Regression - 55:45
What is Logistic Regression - 56:04
What is Linear Regression - 59:35
Comparing Linear & Logistic Regression - 01:05:28
What is K-Means Clustering - 01:26:20
How does K-Means Clustering work - 01:38:00
What is Decision Tree - 02:15:15
How does Decision Tree work - 02:25:15
Random Forest Tutorial - 02:39:56
Why Random Forest - 02:41:52
What is Random Forest - 02:43:21
How does Decision Tree work- 02:52:02
K-Nearest Neighbors Algorithm Tutorial - 03:22:02
Why KNN - 03:24:11
What is KNN - 03:24:24
How do we choose 'K' - 03:25:38
When do we use KNN - 03:27:37
Applications of Support Vector Machine - 03:48:31
Why Support Vector Machine - 03:48:55
What Support Vector Machine - 03:50:34
Advantages of Support Vector Machine - 03:54:54
What is Naive Bayes - 04:13:06
Where is Naive Bayes used - 04:17:45
Top 10 Application of Machine Learning - 04:54:48
How to become a Machine Learning Engineer - 04:59:46
Machine Learning Interview Questions - 05:09:03
Learn Machine Learning like a professional! Start as a beginner and go all the way to advanced from scratch.
Welcome to "Learn Machine Learning From Beginner to Advanced". By using this comprehensive course you will learn the basics of Machine Learning, Some of the advanced topics of Machine Learning and much more. In this course i will assume that you have no prior knowledge about Machine Learning and by the end of the course you will be at advanced level. This course will guide you step by step so that you will learn basics and theory of every part.
In this complete Machine Learning course you will learn:
This Machine Learning tutorial for beginners will enable you to learn Machine Learning algorithms with python examples. Become a pro in Machine Learning.
Mastering the Machine Learning Course would easily develop one's career. This is the reason why studying Machine Learning Tutorial becomes so important in the career of a particular student.
Making a part of the machine learning course would enact and studying the Machine Learning Tutorial would make one carve out a new niche.