Home
  1. Tag "Machine Learning"
Order By:   Views
2021-01-07–LinkedinLearning–Machine-Learning-and-AI-Advanced-Decision-Trees

Machine Learning & AI: Advanced Decision Trees

LinkedIn Learning’s “Machine Learning and AI: Advanced Decision Trees with SPSS” is a comprehensive online course that delves into advanced concepts related to decision tree algorithms. Led by instructor Keith McCormick, this course is designed for those working towards a deeper understanding of machine learning. Here’s what you’ll explore: Decision Tree Algorithms: Understand how to […]
2021-04-03–IBM–Machine-Learning-with-Python-Level-1 conv 1

Machine Learning with Python (Level 1)

IBM’s Machine Learning with Python (Level 1) is a course that dives into the basics of machine learning using Python, an approachable and well-known programming language. Here are some key points covered in the course: Supervised vs. Unsupervised Learning: Understand the difference between these two main types of machine learning methods. Explore how each type […]
2021-01-07–LinkedinLearning–Machine-learning-and-AI-foundations-Decision-Trees

Machine Learning and AI Foundations: Decision Trees

LinkedIn Learning’s “Machine Learning and AI Foundations: Decision Trees with KNIME” is an online course that provides essential knowledge for understanding and working with decision trees in the context of machine learning. Led by instructor Keith McCormick, this course covers the following key aspects: Decision Trees Essentials: Explore the fundamentals of decision trees, including their […]
2021-04-04–IBM–Deep-Learning-Essentials conv 1

Deep Learning Essentials

IBM’s Deep Learning Essentials course provides core knowledge on how the Deep Learning class of machine learning algorithms can be harnessed for more powerful and insightful data processing and pattern creation used in decision-making processes. This includes understanding how convolutional neural networks enhance the effectiveness of image recognition and classification1. If you’re interested in exciting […]
2021-01-07–LinkedinLearning–Machine-Learning-and-AI-Foundations-Value-Estimations

Machine-Learning and AI Foundations: Value Estimations

LinkedIn Learning’s “Machine Learning and AI Foundations: Value Estimations” is an online course that focuses on one of the most common types of machine learning algorithms: value estimation. This algorithm automatically estimates values by analyzing related information. For instance, a website can determine the value of a house based on its location and characteristics. In […]
2021-07-11–IBM–Machine-Learning-with-R conv 1

Machine Learning with R (Level 1)

The IBM Machine Learning with R (Level 1) program provides foundational knowledge for working with R in the context of machine learning. Here are the key components covered in this program: Supervised vs. Unsupervised Learning: Participants learn about the distinction between supervised and unsupervised learning approaches. They understand how to apply these techniques using R. […]
2021-01-11–Torrens–Solving-economical-and-societal-problems-with-AI conv 1

Solving economical and societal problems with AI

The “Solving Economical and Societal Problems with AI” is an on-demand short course offered by Torrens University Australia. This course is designed to provide insights into how artificial intelligence (AI) can be leveraged to address critical challenges related to economics and society. Let’s explore the details: Course Focus: The course delves into the intersection of […]
2022-01-01–IBM–AI-and-the-Classroom-The-Perfect-Marriage conv 1

AI and the Classroom – A Perfect Marriage

The IBM AI and the Classroom – A Perfect Marriage program is designed to equip K-12 educators with essential knowledge and skills related to Artificial Intelligence (AI). Here are the key points covered in this program: Introduction to AI: Educators learn about the foundational concepts of AI. Topics include neural networks, big data, algorithms, and […]
2022-01-01–IBM–Creating-a-Spark-for-Artificial-Intelligence conv 1

Creating a Spark for Artificial Intelligence

IBM Creating a Spark for Artificial Intelligence is an introductory course that familiarizes participants with the basics of Artificial Intelligence (AI). Here are the key components covered in this course: Foundational AI Concepts: Participants learn and define five key terms related to AI: AI, neural network, big data, algorithm, and machine learning. Through analogy, interactive […]
RapidMiner Machine Learning Professional Certification

Rapidminer Certified Machine Learning Professional

The RapidMiner Certified Machine Learning Professional certification is designed for individuals who want to demonstrate their expertise in machine learning using the RapidMiner platform. Here are the key details: Certification Overview: Validate your knowledge and skills in machine learning with RapidMiner. Demonstrate your ability to build, evaluate, and deploy machine learning models. Gain recognition as […]
2022-07-28–DeepLearningAI–Neural-Networks-and-Deep-Learning–PDF conv 1

Neural Networks and Deep Learning

DeepLearning.AI’s “Deep Learning Specialization” is a foundational online program created by machine learning pioneer Andrew Ng. Here are the key highlights: Program Overview: Objective: Grow your skills and build a career in AI. Learner Community: Over 1 million learners have enrolled in this specialization. Self-Paced Learning: Clear, concise modules allow you to learn at your […]
2022-07-05–Databricks–Databricks-Accredited-Lakehouse-Fundamentals-PDF conv 1

Databricks Accredited Lakehouse Fundamentals

Databricks Accredited Lakehouse Platform Fundamentals is an accreditation that validates your understanding of fundamental concepts related to the Databricks Lakehouse Platform. Here are the key details: Certification Overview: Description: This accreditation assesses your knowledge about the Databricks Lakehouse Platform. Focus Areas: Basics: Understand the essentials of the Databricks Lakehouse Platform. Lakehouse Architecture: Describe the architecture […]
CLOSE
error: Content is protected !!