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Fundamentals of Machine Learning

This course will start your career in data science.
5.0
5.0/5
(6 reviews)
2,243 students
Created by

9.6

CourseMarks Score®

10.0

Freshness

9.0

Feedback

9.2

Content

Platform: Udemy
Video: 8h 40m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.0 / 10
We analyzed factors such as the rating (5.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.2 / 10
Video Score: 8.9 / 10
The course includes 8h 40m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.3 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
21 resources.
0 exercise.
0 test.

Table of contents

Description

This is an introduction course of machine learning. The course will cover a wide range of topics to teach you step by step from handling a dataset to model delivery. The course assumes no prior knowledge of the students. However, some prior training in python programming and some basic calculus knowledge is definitely helpful for the course. The expectation is to provide you the same knowledge and training as that is provided in an intro Machine Learning or Artificial Intelligence course at a credited undergraduate university computer science program.

The course is comparable to the Introduction of Statistical Learning, which is the intro course to machine learning written by none other than the greatest of all: Trevor Hastie and Rob Tibshirani! The course was modeled from the “Introduction to Statistical Learning” from Stanford University.

The course is taught by Yiqiao Yin, and the course materials are provided by a team of amazing instructors with 5+ years of industry experience. All instructors come from Ivy League background and everyone is eager to share with you what they know about the industry.

The course has the following topics:
•Introduction
•Basics in Statistical Learning
•Linear Regression
•Clasification
•Sampling and Bootstrap
•Model Selection & Regularization
•Going Beyond Linearity
•Tree-based Method
•Support Vector Machine
•Deep Learning
•Unsupervised Learning
•Classification Metrics
The course is composed of 3 sections:
•Lecture series <= Each chapter has its designated lecture(s). The lecture walks through the technical component of a model to prepare students with the mathematical background.
•Lab sessions <= Each lab session covers one single topic. The lab session is complementary to a chapter as well as a lecture video.
•Python notebooks <= This course provides students with downloadable python notebooks to ensure the students are equipped with the technical knowledge and can deploy projects on their own.

You will learn

✓ Learn about the fundamental principles of machine learning
✓ Build customized models to use for different data science projects
✓ Build customized Deep Learning models to start your own data science career
✓ Start your data science career and connect with the tutor in industry

Requirements

• No prior mathematical or programming knowledge required. Some python programming experience is helpful.

This course is for

• Beginners in python programming, machine learning, and data science.

How much does the Fundamentals of Machine Learning course cost? Is it worth it?

The course costs $14.99. And currently there is a 40% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.

Does the Fundamentals of Machine Learning course have a money back guarantee or refund policy?

YES, Fundamentals of Machine Learning has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Fundamentals of Machine Learning course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who is the instructor? Is Yiqiao Yin a SCAM or a TRUSTED instructor?

Yiqiao Yin has created 5 courses that got 14 reviews which are generally positive. Yiqiao Yin has taught 3,314 students and received a 4.9 average review out of 14 reviews. Depending on the information available, Yiqiao Yin is a TRUSTED instructor.
Data Science, Machine Learning, and Artificial Intelligence
Yiqiao Yin holds an M.A. in statistics from Columbia University, an M.S. in finance from the University of Rochester, and a B.A. in mathematics from the University of Rochester. He has been a PhD student at Columbia University from 2020 to 2021. He is now working as a Senior Data Scientist at an S&P 500 company.

His research interests include feature learning and representation learning, deep learning, computer vision (CV), natural language processing (NLP), and reinforcement learning (RL). He has held professional appointments as an enterprise-level data scientist at Bayer Crop Science, a quantitative researcher at AQR working on alternative quantitative approaches to portfolio management and factor-based trading, and a trader at T3 Trading on Wall Street. Yiqiao was an instructor at Trilogy Education, supervises a small fund specializing in algorithmic trading, and runs his own YouTube Channel in which he discusses topics in data science, machine learning, and artificial intelligence.

9.6

CourseMarks Score®

10.0

Freshness

9.0

Feedback

9.2

Content

Platform: Udemy
Video: 8h 40m
Language: English
Next start: On Demand

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