MLOps20 Videos

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 […]

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 […]

Data Warehouse: Hands-On Essentials

Snowflake Hands-On Essentials workshops are highly interactive, self-paced online courses designed for learners who are new to Snowflake or new to data work in general. These workshops provide practical experience and cover essential topics related to Snowflake. Here are the key details: Workshop Overview: Name: Hands-On Essentials Target Audience: Learners new to Snowflake or data […]

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 […]

L’Intelligenza Artificiale

L’Intelligenza Artificiale at Urbino University is a multidisciplinary course that delves into the topic of artificial intelligence (AI) from various scientific, technical, ethical, social, economic, philosophical, and cultural perspectives. Here are some key aspects of the course: Course Overview: The course aims to provide a comprehensive understanding of AI, covering both theoretical foundations and practical […]

Build Your Own Chatbot

IBM – Build-Your-Own-Chatbot is a platform that empowers users to create their own customized chatbots. With this tool, you can design and deploy chatbots tailored to your specific needs, whether it’s for customer service, information retrieval, or any other purpose. The platform provides a user-friendly interface, allowing you to define conversational flows, integrate with APIs, […]

Webinar on Scalable Machine

The CloudxLab Webinar on Scalable Machine Learning is an informative session that delves into the world of scalable machine learning. Here are the key details: Objective: The webinar aims to provide insights into building scalable machine learning systems. Participants will learn about best practices, tools, and techniques for handling large-scale data and models. Topics Covered: […]

Deep Learning (Level 2)

The IBM Deep Learning (Level 2) program is designed to advance your deep learning skills to the next level. In this course, you’ll explore more advanced topics related to deep neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Here are the key components covered in this program: Advanced […]

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 […]

Deep Learning using TensorFlow

IBM Deep Learning using TensorFlow is a program that equips participants with the ability to apply TensorFlow for deep learning tasks. Here are the key components covered in this program: Foundational TensorFlow Concepts: Participants learn essential TensorFlow concepts, including main functions, operations, and execution pipelines. They understand how TensorFlow can be used for tasks such […]

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 […]

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. […]
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