Exploring Machine Learning E-Learning
Order this unique E-Learning course Exploring Machine Learning online!
✔️ 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to immediately test your knowledge.
✔️ After the course you will receive a certificate of participation.
Why choose this course?
Machine learning (ML) is one of the most exciting and impactful fields in technology today. Thanks to recent advances in computing power and algorithm efficiency, ML is now more accessible than ever. This course provides an in-depth exploration of machine learning, teaching you the fundamental techniques needed to build and deploy ML solutions.
During the course, you will not only learn the basics of ML, but also gain the tools and knowledge to solve different types of problems using ML. You will discover techniques such as supervised and unsupervised learning, regression analysis, classification, clustering, and much more.
What you will learn:
- Fundamentals of Machine Learning: Understand the basics of machine learning, from data collection and preparation to training models.
- Supervised Learning: Learn how to build models that are trained on labeled data to make predictions.
- Unsupervised Learning: Discover techniques such as clustering and dimensional reduction that you can use to find patterns in unclassified data.
- Model Evaluation and Optimization: Learn how to test and optimize the performance of machine learning models.
- Applications of Machine Learning: Gain insight into how ML is being applied across industries, from healthcare to finance and marketing.
Who should participate?
This training is ideal for:
- Software developers looking to expand their skills with machine learning.
- Data scientists who want to understand and apply the fundamental techniques of ML.
- IT professionals who want to integrate machine learning into their applications and systems.
- Analysts and researchers who work with data and want to use machine learning to generate insights.
- Anyone interested in understanding machine learning and its impact on different industries and technologies.
Course content
Introduction to Machine Learning and Supervised Learning
Course: 55 Minutes
- Course Introduction
- What is Machine Learning?
- Supervised Learning
- How to Build Models
- Overfitting
- Precision and Recall
Supervised Learning Models
Course: 41 Minutes
- Course Introduction
- Classification vs. Regression
- Regression Trees
- CART Decision Tree Learning
- Random Forests
- Random Forests with Python
- Logistic Regression Model
- Logistic Regression in Python
- Support Vector Machines (SVM)
- Kernel Methods for SVMs
- Support Vector Machines in Python
- Naïve Bayes Classifiers
- Naïve Bayes Classifiers in Python
Unsupervised Learning
Course: 33 Minutes
- Course Introduction
- What is Unsupervised Learning?
Neural Networks
Course: 40 Minutes
- Course Introduction
- Defining Neural Networks
- Neural Network Structures
- Cost Functions for Neural Networks
- Activation Functions
- Training Neural Networks
- Training Neural Networks With Backpropagation
- Batch Learning
Convolutional and Recurrent Neural Networks
Course: 41 Minutes
- Course Introduction
- Introducing Convolutional Neural Networks (CNNs)
- CNN Architecture
- Convolution Layers
- Pooling Layer
- CNN Training Considerations
- Regularization
- Convolutional Neural Network Implementation
- Regularization Methods for CNNs
Applying Machine Learning
Course: 39 Minutes
- Course Introduction
- Bias and Variance
- Cross-validation
- Cross-validation in Python
- Metrics for Binary Classification Models
- Metrics for Non-binary Classification Models
- Classification Metrics in Python
- Metrics for Regression Models
- Regression Metrics in Python
Get started with Exploring Machine Learning!
✔️ Learn at your own pace with rich interactive videos and speech.
✔️ Test your knowledge per chapter with targeted tests and progress monitoring.
✔️ Develop practical skills in machine learning and apply them to real-world problems.
✔️ Receive a certificate of participation upon successful completion of the course.
Order your course now and start discovering the world of machine learning!
