Learn the concepts, tools, and techniques to make great maps that answer geographic questions. This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner. PLEASE NOTE: THE SOFTWARE IS NO LONGER PROVIDED WITH THIS COURSE. The courses are based on the idea that you will get the most out of the learning experience if you can tailor your work to your own interests.

The course is aimed at university-level students of all engineering backgrounds, who would like to learn the basics of modern biomedical engineering, including the development of human-robotic interfaces and systems such as bionic prosthetics. The course is covering the practical basics of almost everything that a modern biomedical engineer is required to know: electronics, control theory, microcontrollers (Arduino), and high-level programming (MATLAB). All covered disciplines do not require any prior knowledge except university-level mathematics and physics. By the end of the course, the students will be able to practically understand and design electronic systems for electrophysiological signal acquisition, connect and program the microcontroller, organise the data transmission between a controller and PC, process the acquired signal and control a simple robot with the acquired signal in real-time. The course is also providing a platform from which the students can improve their skills further by simply adding more complicated systems and experimenting with more advanced control paradigms.

About this Course 14,670 recent views This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization's mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team.

A 17-hour AI course is provided by Udemy from Kirill Eremenko, the Founder of SuperDataScience. This class is very beginner friendly, as the course curriculum covers all the basics of AI. In this course, the students will learn the fundamentals of AI, its practical applications, and the theory behind it. Also, they will get to know about models that power AI applications such as self-driving cars. The course also teaches how to solve real-world problems with the help of artificial intelligence.

Indian Space Research Organisation (ISRO) has recently launched a free online course in machine learning, titled as "Machine learning to Deep Learning: A journey for remote sensing data classification". After successful completion of this 5-day course, all the participants will be rewarded with a certificate. However, the course is offered by ISRO, it will be conducted by the Indian Institute of Remote Sensing (IIRS). Anyone from student to working professional is eligible for this free online course and will learn machine learning by experts. The course will start on 5 July 2021 and will end on 9 July 2021.

This is currently in an Early Bird Beta access, meaning we are still going to be continually adding content to the course (even though we are already at over 20 hours of content!) Since we're still adding content and taking student feedback as we complete the course through the start of 2021, students who enroll now will get access to a wide variety of benefits! What do you get with Early Bird Access? You will get exclusive access to weekly live video streams where we will go through interactive machine learning projects! You'll be able to directly ask questions during the streams that will coincide with section launches corresponding to new machine learning algorithms added to the course content! These weekly streams will also include live Q&A with the instructor of the course, Jose Portilla.

Create a Text Generation Web App with 100% Python (NLP) - Harness GPT-Neo -- a natural language processing (NLP) text generation model. Demonstrate it with a 100% Python web app Created by Vennify Inc., Eric FillionPreview this Course - GET COUPON CODE GPT-3 is a state-of-the-art text generation natural language processing (NLP) model created by OpenAI. You can use it to generate text that resembles text generated by a human. This course will cover how to create a web app that uses an open-source version of GPT-3 called GPT-Neo with 100% Python. That's right, no HTML, Javascript, CSS or any other programming language is required.

AWS and Udacity are collaborating to educate developers of all skill levels on machine learning concepts. We invite students 18 years of age or older who are interested in expanding their machine learning skills and expertise to enroll in the AWS Machine Learning Scholarship Program. The goal for this program is to up-level machine learning skills to all, and to cultivate the next generation of ML leaders across the world, with a focus on underrepresented groups. Through its We Power Tech Program, AWS collaborates with professional organizations that are leading initiatives to increase the diversity and talent in technical roles, including organizations like Girls In Tech and the National Society of Black Engineers. The scholarship is open to all for registration starting May 26, 2021, and your learning will begin on June 28, 2021.

Posted by Cheng Xing and Michael Broughton, Google Training large machine learning models is a core ability for TensorFlow. Over the years, scale has become an important feature in many modern machine learning systems for NLP, image recognition, drug discovery etc. Making use of multiple machines to boost computational power and throughput has led to great advances in the field. Training large machine learning models is a core ability for TensorFlow. Over the years, scale has become an important feature in many modern machine learning systems for NLP, image recognition, drug discovery etc. Making use of multiple machines to boost computational power and throughput has led to great advances in the field. In this tutorial you will walk through how to use TensorFlow and TensorFlow quantum to conduct large scale and distributed QML simulations.

Combine Quickwork Journey Builder with Quickwork Chat and you get a combination of automated chatbots and a conversation manager for effective customer service. On Quickwork Journey Builder you can build automated chatbots on messaging platforms like WhatsApp, Telegram, etc., and then connect them with Quickwork Chat to bring in that human support that your customers need. The Multichannel feature allows admins and agents to communicate with customers available on any of the above-mentioned messaging platforms and enables them to view all the conversations in real-time on a single dashboard. On Quickwork chat you can also build a live chat website widget and manage its conversations, Here's a quick 2-minute tutorial on how to build a chatbot for a website: You might be more concerned about getting started than about its functioning. You don't need to worry because Quickwork provides customized solutions for companies that want to use chatbots as an automated customer service tool. With our team of experts, we can integrate your chatbot into a web portal or an app, and program it with natural language processing and natural language understanding capabilities. Once live, the chatbots look and act as an integral part of your online business. In addition to the great visual appeal and features that Quickwork Chat offers, it provides a lot of value.