Search result for Ai and machine learning Online Courses & Certifications
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Introduction to Hyper-V Implementation and Management
by Infinite Skills- 0.0
7 hours on-demand video
You will start with an overview of virtualization, then jump into learning about Hyper-V, including features, scalability changes, storage and network changes, and licensing. From there, you will learn about virtual machine resource fundamentals, such as time synchronization, dynamic memory configuration, and page sharing technologies. This video tutorial also covers virtual storage, virtual switches, and deploying Hyper-V....
$14.99
Build Basic Generative Adversarial Networks (GANs)
by Sharon Zhou , Eda Zhou , Eric Zelikman- 4.7
Approx. 31 hours to complete
- Learn about GANs and their applications This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research. Connect with your mentors and fellow learners on Slack!...
Introduction to Data Science in Python
by Christopher Brooks- 4.5
Approx. 31 hours to complete
This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. Python Demonstration: Reading and Writing CSV files Python Dates and Times...
How to Start Your Journey in Data Science - Beginners
by Neerja Jhingan- 3.9
3.5 hours on-demand video
What is Data Science and It's Different Roles. How to learn Basic Tools in Python, Machine Learning For Data Science. Things to keep and Avoid before Starting Your Journey in Data Science. Hands on Experience in Data Science Live Project , Exercises, and Learn How to Check and Handle missing values in DataSet....
$12.99
Connect the Dots: Factor Analysis
by Loony Corn- 3.7
1.5 hours on-demand video
Factor extraction using PCA in Excel, R and Python See how Principal Components Analysis is a cookie cutter technique to solve factor extraction and how it relates to Machine learning . Implementing PCA in Excel, R and Python Apply PCA to explain the returns of a technology stock like AppleFind the principal components and use them to build a regression model ...
$9.99
Learning Path: Build Your Own Recommendation Engines
by Packt Publishing- 2.9
5 hours on-demand video
In this Learning Path, you will be introduced to what a recommendation engine is and its applications. The latter part of the Learning Path will deal with various complex recommendation engines such as personalized recommendation engines, real-time recommendation engines, and SVD recommender systems. He has extensively worked on Recommendation Engines, Natural language Processing, Advanced Machine Learning, and Graph Databases....
$11.99
Git, GitHub and Version Control in Less than an Hour
by App Brewery Co.- 4.2
1.5 hours on-demand video
Learn about git source control and GitHub in this step-by-step tutorial with beautiful animations & simple explainations What is the difference between git and GitHub? What are merge conflicts and how can you resolve them? With version control, git and GitHub under your belt, you'll be confident working in a team setting and work collaboratively with other programmers!...
$9.99
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Data Processing with Python
by Ardit Sulce- 4.3
3.5 hours on-demand video
Learn how to use Python and Pandas for cleaning and reorganizing huge amounts of data. Data scientists spend only 20 percent of their time on building machine learning algorithms and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data. Build 10 advanced Python scripts which together make up a data analysis and visualization program....
$10.99
UML Fundamentals
by Infinite Skills- 4.3
6 hours on-demand video
You will start by learning about the models and diagrams in UML. Simon will then cover the various diagrams in UML, including class diagrams, object diagrams, advanced class diagrams, interaction sequence diagrams, interaction communication diagrams, and activity diagrams. This video tutorial also covers state machine diagrams, component diagrams, and deployment diagrams....
$16.99
Mathematical Thinking in Computer Science
by Alexander S. Kulikov , Michael Levin , Владимир Подольский- 4.4
Approx. 40 hours to complete
Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. , we expect you to know what is a square or how to add fractions), common sense and curiosity. Examples, Counterexamples and Logic Girls, Boys, and Two Languages Even and Odd Numbers...