Search result for Ai and machine learning Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 1,842 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. Introduction to Forecasting and Time Series Analysis Deep Learning and Survival Analysis Forecasts...
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
This third course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate introduces you to some of the major machine learning algorithms that are used to solve the two most common supervised problems: regression and classification, and one of the most common unsupervised problems: clustering. Linear Regression in Machine Learning MSE and MAE...
ZERO to GOD Python 3.8 FULL STACK MASTERCLASS 45 AI projects
by Gopal Shangari- 4.3
-
![]()
![]()
![]()
![]()
![]()
30 hours on-demand video
There is no other course ANYWHERE that goes as far into Data Science and Machine learning/ Artificial Intelligence as a stand alone topic, let alone with a FULLSTACK Python course preceding the data science. Traditional statistics and Machine Learning Learn Python and AI in the easiest possible way, so you can advance your career quickly and easily....
$12.99
Using GPUs to Scale and Speed-up Deep Learning
by Saeed Aghabozorgi- 0.0
-
![]()
![]()
![]()
![]()
![]()
5 Weeks
The Power AI platform supports popular machine learning libraries and dependencies including Tensorflow, Caffe, Torch, and Theano. In this course, you'll understand what GPU-based accelerated hardware is and how it can benefit your deep learning scaling needs. You'll also deploy deep learning networks on GPU accelerated hardware for several problems, including the classification of images and videos....
$99
Introducción a la Inteligencia Artificial de Watson
by Rav Ahuja- 0.0
-
![]()
![]()
![]()
![]()
![]()
8 Weeks
Fundamentos de IA y Watson Machine Learning Cómo funciona IBM Watson AI...
$49
AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. We’ll review the differences between AWS Deep Learning AMIs and Deep Learning containers. Module 2: Machine Learning on AWS AWS Machine Learning Stack Data in Machine Learning...
Fintech: AI & Machine Learning in the Financial Industry
by Cesare Fracassi- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
This course provides a detailed explanation of machine learning and its applications in finance. After you complete this course, you will be able to have a detailed understanding of what machine learning is, and how it is applied in the financial sector. What machine learning is, and how to use machine learning algorithms....
$850
Related searches
Practical Machine Learning on H2O
by Darren Cook- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms....
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models....
Python Machine Learning Crash Course for Beginners
by AI Sciences- 4.3
-
![]()
![]()
![]()
![]()
![]()
10 hours on-demand video
Complete Machine Learning step-by-step Course, Mastering Regression, Classification and Clustering [2020] This course, however, cuts through the math and makes it easy for you to learn how machine learning algorithms work. This course is designed for both beginners with some machine learning knowledge and even for those who know nothing about machine learning....
$12.99
Previous
