Machine Learning: KNIME 4.7+ Intermediate
- 9 Courses | 6h 5m 49s
- 10 Books | 57h 10m
- 2 Courses | 2h 27m 8s
- 3 Courses | 2h 37m 36s
- 8 Books | 34h 5m
- 1 Course | 1h 54m 50s
- 4 Books | 9h 45m
- 3 Courses | 1h 46m 5s
- 6 Books | 36h 44m
- 2 Courses | 1h 38m 46s
- 19 Courses | 20h 9m 16s
- 8 Books | 32h 53m
- Includes Lab
- 5 Courses | 5h 52m 8s
- 7 Books | 20h 28m
- 5 Courses | 6h 1m 20s
- 4 Books | 13h 57m
- 2 Courses | 2h 30m 22s
- 3 Courses | 2h 38m 59s
- 6 Books | 51h 57m
- 2 Courses | 1h 37m 40s
- 15 Courses |
- 1 Book | 2h 25m
- 8 Courses | 9h 17m 2s
- 4 Books | 17h 18m
- 28 Courses | 28h 31m 21s
- 8 Books | 32h 30m
- Includes Lab
- 1 Course | 1h 15m 30s
- 1 Book | 6h 56m
- 2 Courses | 1h 39m 53s
GETTING STARTED
Introduction to Machine Learning & Supervised Learning
-
1.What Is Machine Learning?3m 13sNOW PLAYING
-
2.Supervised Learning2m 35sUP NEXT
GETTING STARTED
Using BigML: An Introduction to Machine Learning & BigML
-
1.Course Overview2m 34sNOW PLAYING
-
2.Machine Learning Algorithms7m 11sUP NEXT
GETTING STARTED
Machine & Deep Learning Algorithms: Introduction
-
1.Course Overview1m 58sNOW PLAYING
-
2.Machine Learning Algorithms8m 39sUP NEXT
GETTING STARTED
Deep Learning with Keras
-
1.Course Overview1m 39sNOW PLAYING
-
2.Neural Networks7m 59sUP NEXT
GETTING STARTED
Research Topics in ML & DL
-
1.Course Overview2m 31sNOW PLAYING
-
2.Prevent Neural Networks from Overfitting2m 51sUP NEXT
GETTING STARTED
Advanced Functionality of Microsoft Cognitive Toolkit (CNTK)
-
1.Course Overview2m 26sNOW PLAYING
-
2.CNTK vs. Other Platforms4mUP NEXT
GETTING STARTED
Fundamentals of Sequence Model: Artificial Neural Network & Sequence Modeling
-
1.Course Overview1m 38sNOW PLAYING
-
2.Artificial Neural Network (ANN)3m 52sUP NEXT
GETTING STARTED
Machine Learning & Data Analytics
-
1.Machine Learning Concepts5m 34sNOW PLAYING
-
2.Machine Learning and Deep Learning5m 1sUP NEXT
GETTING STARTED
AI Fundamentals
-
1.Machine Learning and Artificial Intelligence Goals3m 50sNOW PLAYING
-
2.Essential Features of Artificial Intelligence3m 21sUP NEXT
GETTING STARTED
Using BigML: Building Supervised Learning Models
-
1.Course Overview2m 38sNOW PLAYING
-
2.Building an Ensemble Model8m 56sUP NEXT
GETTING STARTED
Bayesian Methods: Bayesian Concepts & Core Components
-
1.Course Overview1m 38sNOW PLAYING
-
2.Bayesian Probability and Statistical Inference7m 30sUP NEXT
GETTING STARTED
Keras - a Neural Network Framework
-
1.Course Overview1m 31sNOW PLAYING
-
2.The Keras Framework2m 28sUP NEXT
GETTING STARTED
AWS Certified Machine Learning: Data Engineering, Machine Learning, & AWS
-
1.Course Overview1m 8sNOW PLAYING
-
2.What Is Data Engineering?5m 40sUP NEXT
GETTING STARTED
TensorFlow: Introduction to Machine Learning
-
1.Course Overview2m 9sNOW PLAYING
-
2.Introduction to Machine Learning Algorithms8m 21sUP NEXT
GETTING STARTED
Model Management: Building Machine Learning Models & Pipelines
-
1.Course Overview1m 37sNOW PLAYING
-
2.Machine Learning Algorithms and Models4m 17sUP NEXT
GETTING STARTED
ML & Dimensionality Reduction: Performing Principal Component Analysis
-
1.Course Overview2m 12sNOW PLAYING
-
2.Linear Transformations of Vectors4m 45sUP NEXT
GETTING STARTED
Implementing AI With Amazon ML
-
1.Course Overview1m 28sNOW PLAYING
-
2.The Amazon ML Framework2m 4sUP NEXT