"The field of Machine Learning seeks to answer these questions: How can we build computer systems that automatically improve with experience, and what are the fundamental laws that govern all learning processes?"
– from The Discipline of Machine Learning by Tom Mitchell. CMU-ML-06-108, 2006.
The TriRhenaTech alliance universities and their partners presented their competences in the field of artificial intelligence and their cross-border cooperations with the industry at the tri-national conference 'Artificial Intelligence : from Research to Application' on March 13th, 2019 in Offenburg. The TriRhenaTech alliance is a network of universities in the Upper Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, and Offenburg, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes \'ecoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.
Bias in AI is a truly worrisome issue. We've seen algorithms that are racist, sexist, and every other negative -ist you can think of. Even more troubling: if we eliminate all the human bias in our training data, an AI might still learn to be bigoted all on its own. That's a concern researchers across the world are grappling with as we move toward a future in which AI is everywhere. One bright spot: Google, a leader in AI tech, just added an AI fairness module to its crash course on machine learning.
It was standing-room only in the Stata Center's Kirsch Auditorium when some 300 attendees showed up for opening lectures for MIT's intensive, student-designed course 6.S191 (Introduction to Deep Learning). Nathan Rebello, a first-year graduate student in chemical engineering, was among those who were excited about the class, coordinated by Alexander Amini '17 and Ava Soleimany '16 during MIT's Independent Activities Period (IAP) in January. "I hope to go into either industry or academia and to apply deep learning techniques for the design of new materials," Rebello says. He signed up for 6.S191 to learn more about deep learning with the intention of applying it to the design of bio-inspired polymeric materials, adding: "I also wanted to network with students and faculty to explore their ways of thinking on this topic." There were plenty of people available for networking.
The course "Machine Learning Basics: Building a Regression model in R" teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems. Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. What is the Linear regression technique of Machine learning? Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value.
AWS Rekognition: Machine Learning Using Python Masterclass Use Python programming to extract text and labels from images using Pycharm, Boto3, and AWS Rekognition Machine Learning. What you'll learn Successfully use Python to extract text from images and labels Fundamentals of AWS Machine Learning Gain solid understanding of AWS Rekognition Python intro and advanced programming - all in one PyCharm installation and configuration Using Boto3: Coding in Python to detect objects, faces, and text from images Work with AWS S3 and learn how to write Python code Successfully use SSH to connect to AWS EC2 instance Description In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data - Learn AWS Rekognition: Machine Learning Using Python Masterclass step-by-step, complete hands-on - Bringing you the latest technologies with up-to-date knowledge. Are you new to AWS Rekognition and machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS cetifications? Look no further - learn the Use Python programming to extract text and labels from images using PyCharm, Boto3, and AWS Rekognition Machine Learning.
Originally written as a way for me personally to help solidify and document the concepts, these notes have grown into a reasonably complete block of reference material spanning the course in its entirety in just over 40 000 words and a lot of diagrams! The target audience was originally me, but more broadly, can be someone familiar with programming although no assumption regarding statistics, calculus or linear algebra is made. We go from the very introduction of machine learning to neural networks, recommender systems and even pipeline design. The one thing I will say is that a lot of the later topics build on those of earlier sections, so it's generally advisable to work through in chronological order.
Combine Python & TensorFlow powers to build projects. In this course, you will learn how to code in Python, calculate linear regression with TensorFlow, and use AI for automation. Together with a professional you will perform CIFAR 10 image data and recognition and analyze credit card fraud by building practical projects. We explain everything in a straightforward teaching style that is easy to understand. Join Mammoth Interactive in this course, where we blend theoretical knowledge with hands-on coding projects to teach you everything you need to know as a beginner to credit card fraud detection What you'll learn Learn how to code in Python, a popular coding language used for websites like YouTube and Instagram.
Use Python & Keras to do 24 Projects - Recognition of Emotions, Age, Gender, Object Detection, Segmentation, Face Aging Master Computer Vision using Deep Learning in Python. You'll be learning to use the following Deep Learning frameworks. In this course, you will discover the power of Computer Vision in Python, and obtain skills to dramatically increase your career prospects as a Computer Vision developer.Computer vision applications involving Deep Learning are booming! Having Machines that can'see' will change our world and revolutionize almost every industry out there. Machines or robots that can see will be able to: Perform surgery and accurately analyze and diagnose you from medical scans.
Today's highlighted deal comes via our Online Courses section of the Neowin Deals store, where for only a limited time you can Pay What You Want for this AI and Deep Learning Bundle. With the Pay What You Want bundles, you can get something incredible for as little as you want to pay. And if you beat the average price, you'll receive the fully upgraded bundle! Beat the Leader's price and get entered into the epic giveaway, plus get featured on the leaderboard! Click to see the average price for this full AI and Deep Learning Bundle See other Pay What You Want deals This is a time-limited offer, ending soon.
If you want to guarantee your own long-term success, your best bet is investing in your growth. That doesn't necessarily mean you need to spend thousands of dollars and hours sitting in a classroom after a long day at work (hallelujah). Thanks to that wonderful and wild thing called the internet, you can learn the most desired skills without changing out of your pajamas. The job market is constantly shifting -- ensure you can evolve with it by taking an online class and keeping your skills sharp. The courses listed here cover everything from lessons in coding to professional photography.