• Join CraxPro and earn real money through our Credit Rewards System. Participate and redeem credits for Bitcoin/USDT. Start earning today!

    Read the detailed thread here

Coursera - IBM Introduction to Machine Learning Specialization

Currently reading:
Coursera - IBM Introduction to Machine Learning Specialization

mayoufi

Member
Amateur
LV
5
Joined
Oct 22, 2023
Threads
2,775
Likes
229
Awards
10
Credits
18,614©
Cash
0$
1708691868862

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 192 Lessons ( 21h 50m ) | Size: 2.1 GB
Learn machine learning through real use cases. Build the skills for a career in one of the most relevant fields of modern AI through hands-on projects and curriculum from IBM’s experts.
What you'll learn
Understand the potential applications of machine learning

Gain technical skills like SQL, machine learning modelling, supervised and unsupervised learning, regression, and classification.

Identify opportunities to leverage machine learning in your organization or career

Communicate findings from your machine learning projects to experts and non-experts

Skills you'll gain
Unsupervised Learning
Machine Learning
Machine Learning Regression
Machine Learning Classification
Exploratory Data Analysis

Machine learning skills are becoming more and more essential in the modern job market. In 2019, Machine Learning Engineer was ranked as the #1 job in the United States, based on the incredible 344% growth of job openings in the field between 2015 to 2018, and the role’s average base salary of $146,085 (
Indeed
).

This four-course Specialization will help you gain the introductory skills to succeed in an in-demand career in machine learning and data science. After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices.

RAPIDGATOR
Part 1Part 2Part 3
 

Create an account or login to comment

You must be a member in order to leave a comment

Create account

Create an account on our community. It's easy!

Log in

Already have an account? Log in here.

Tips

Similar threads

Top Bottom