Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects!
Published 2/2023
Created by Mohit Uniyal,Prateek Narang
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Welcome to the Basics of Machine Learning! Are you interested in understanding how machines can learn and make predictions on their own? If so, this is the perfect place to start. Machine Learning is a branch of artificial intelligence that focuses on the development of computer programs that are able to learn and improve on their own. At its core, Machine Learning is all about teaching computers to recognize patterns and make decisions based on data. By giving computers data and an algorithm to work with, machines can analyze large amounts of data and make accurate predictions. The most common type of Machine Learning is supervised learning. With supervised learning, a machine is given labeled data and a set of instructions on how to use the data to make predictions. Supervised learning is often used to solve classification problems such as image recognition, facial recognition, and natural language processing. Another type of Machine Learning is unsupervised learning. Unlike supervised learning, unsupervised learning does not require labeled data. Instead, unsupervised learning algorithms look for patterns and relationships in data without any human input. Unsupervised learning is often used to identify patterns and clusters in large datasets. Reinforcement learning is a third type of Machine Learning. With reinforcement learning, the machine is given a goal and a set of rewards. The machine then learns by trial and error, using feedback from its environment to determine the best course of action. This type of Machine Learning is often used to develop autonomous robots and self-driving cars. The applications of Machine Learning are endless. From facial recognition to medical diagnosis, Machine Learning is revolutionizing the way we interact with the world. By understanding the basics of Machine Learning, you can start to explore the amazing possibilities of this technology.
Published 2/2023
Created by Christopher Bishop
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Published 2/2023
Created by Thomas Keyt
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 40 Lectures ( 1h 48m ) | Size: 732 MB
From Beginner to Expert

Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.85 GB | Duration: 2h 25m
Visualize the concepts of "part and assembly" drawings through CAD geometric modelling in IronCAD software package !
What you'll learn

Learn Data Science, Machine Learning and Deep Learning Techniques in Python using the power of ChatGPT prompts
Last updated 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.43 GB | Duration: 2h 55m
What you'll learn
Master the fundamental concepts and tools of data science, including Python programming, data visualization, and statistical analysis.

Released 2/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 11m | Size: 330 MB
From predicting medical outcomes to managing retirement funds, we put a lot of trust in machine learning (ML) and artificial intelligence (AI) technology, even though we know they are vulnerable to attacks, and that sometimes they can completely fail us. In this course, instructor Diana Kelley pulls real-world examples from the latest ML research and walks through ways that ML and AI can fail, providing pointers on how to design, build, and maintain resilient systems.

Released 1/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 45 Lessons (5h) | Size: 3.74 GB
Deep dive into machine learning (ML) on AWS! Learn to build, train, and deploy ML projects with SageMaker Studio and other AWS services

Last updated 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz
Language: English | Size: 860.03 MB | Duration: 1h 57m
Learn to apply Classification on Python from a Data Science expert. Code templates included.

David Chappell | Duration: 0:43 h | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 76 MB | Language: English
Hello! My name is David Chappell, and I'm the author of Understanding Machine Learning here at Pluralsight.
Have you ever wondered what machine learning is? That's what this course is designed to teach you. You'll explore the open source programming language R, learn about training and testing a model as well as using a model. By the time you're done, you'll have a clear understanding of exactly what machine learning is all about.
It's all ready and waiting for you – jump in whenever you're ready, and thanks for visiting me here at Pluralsight.

Last updated 1/2023
Created by Dan We
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17 Lectures ( 2h 24m ) | Size: 1.04 GB