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Python: Master Machine Learning with Python: 3-in-1

#artificialintelligence

You are a data scientist. Every day, you stare at reams of data trying to apply the latest and brightest of models to uncover new insights, but there seems to be an endless supply of obstacles. Your colleagues depend on you to monetize your firm's data - and the clock is ticking. Troubleshooting Python Machine Learning is the answer. Machine learning gives you powerful insights into data.


Machine Learning

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In the era of Big Data, machine learning and data analytics are vital to the success of any organisation. From simple sales forecasts to the AI behind self-driving cars, data are helping to drive continuous improvement. The techniques are powerful, but need to be used with a full understanding of the subject. It is vital to understand best practice, and how an analytics project fits with the business objectives. This is a technical course, but it also has a very applied focus.


Explorations in Cyber-Physical Systems Education

Communications of the ACM

The field of CPS draws from several areas in computer science, electrical engineering, and other engineering disciplines, including computer architecture, embedded systems, programming languages, software engineering, real-time systems, operating systems and networking, formal methods, algorithms, computation theory, control theory, signal processing, robotics, sensors and actuators, and computer security. Similarly, over the past 14 years, we have had students from computer science, electrical and computer engineering, mechanical engineering, civil engineering, and even bioengineering. Integrating this bewildering diversity of subject areas into a coherent whole for students with such a wide breadth of backgrounds has been a challenge we had to overcome. One approach would have been to not attempt such an integration. Instead, we could have opted for a collection of courses that together cover all the key areas in CPS.


Data Science: Supervised Machine Learning in Python

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In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.


Learn AI for Free: Top No-Paid Courses to Take Up in 2022

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In today's digital world you don't have to take years out of your life studying at university to become familiar with this seemingly complex technology. You will get everything online. And you can learn these courses for free also. AI is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment. Taught by the top researchers and educationists of the best universities globally, these artificial intelligence courses are worth taking up.


Manipulating the future

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As robots evolve, society's collective imagination forever ponders what else robots can do, with recent fascinations coming to life as self-driving cars or robots that can walk and interact with objects as humans do. These sophisticated systems are powered by advances in deep learning that triggered breakthroughs in robotic perception, so that robots today have greater potential for better decision-making and improved functioning in real-world environments. But tomorrow's roboticists need to understand how to combine deep learning with dynamics, controls, and long-term planning. To keep this momentum in robotic manipulation going forward, engineers today must learn to hover above the whole field, connecting an increasingly diverse set of ideas with an interdisciplinary focus needed to design increasingly complex robotic systems. Last fall, MIT's Department of Electrical Engineering and Computer Science launched a new course, 6.800 (Robotic Manipulation) to help engineering students broadly survey the latest advancements in robotics while troubleshooting real industry problems.


Data Distribution Shifts and Monitoring

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Note: This note is a work-in-progress, created for the course CS 329S: Machine Learning Systems Design (Stanford, 2022). For the fully developed text, see th...


Complete iOS Machine Learning Masterclass

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The Complete iOS Machine Learning Masterclass is the only course that you need for machine learning on iOS. Machine Learning is a fast-growing field that is ... If you want to learn how to start building professional, career-boosting mobile apps and use Machine Learning to take things to the next level, then this course is for you. The Complete iOS Machine Learning Masterclass is the only course that you need for machine learning on iOS. Machine Learning is a fast-growing field that is revolutionizing many industries with tech giants like Google and IBM taking the lead. In this course, you'll use the most cutting-edge iOS Machine Learning technology stacks to add a layer of intelligence and polish to your mobile apps.


Introduction to Machine Learning using R: SVM & Unsupervised Learning

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Brought to you by NCI in partnership with Intersect and delivered by Intersect. Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages.


Machine Learning & Self-Driving Cars: Bootcamp with Python

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Combine the power of Machine Learning, Deep Learning and Computer Vision to make a Self-Driving Car! Then this course is for you! This course has been designed by a professional Data Scientist expert in Autonomous Vehicles, so that I could share my knowledge and help you understand how self-driving cars work in a simple way.