Welcome to this dual-phase course. In the first segment, we delve into neural networks and deep learning. In the second, ascend to mastering Generative Adversarial Networks (GANs). No programming experience required. Begin with the fundamentals and progress to an advanced level.
This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.
This comprehensive course will help you learn the basics to advanced mechanisms of chatbot development using deep learning with Python. This course is a complete package for beginners to learn chatbot fundamentals with deep learning and its applications and build it from scratch using deep learning (RNNs) with Python.
Enhance your coding skill set by learning Java multithreading and parallel programming. Figure out common problems such as debugging codes, splitting a problem into multiple independent pieces, and measuring the runtime and performance of your code. Save time and avoid going into the same pitfalls while learning multithreading.
This course for absolute beginners provides you with the opportunity to systematically learn core statistical and probability concepts, descriptive statistics, hypothesis testing, regression analysis, analysis of variance (ANOVA), and advanced regression/ML methods such as logistics regressions, polynomial regressions, decision trees, and more.
A one day course for healthcare professionals to introduce brady pacing concepts. Draft agenda included below - first date to be confirmed. Register your interest now by joining our waiting list. This is the first course in a series which will include Tachy and CRT devices. Our agenda is not manufacturer specific. The course will be hosted by senior Cardiac Physiologists/ Scientists from the Cardiac Rhythm Management team at Manchester University NHS Foundation Trust. Final registration fee yet to be confirmed. Pacing 101 - Brady devices course 9.00-9.50 Brady Pacemaker indications 9.50 -10.20 Implant and equipment 10.20 -10.50 Physics 10.50 -11.05 Coffee break 11.05-11.30 Lead testing – sensing, impedance and thresholds 11.30-12.15 Timing cycles and modes 12.15-12.45 Test your knowledge Quiz 12.45-13.30 Lunch 13.30-14.00 Brady algorithms 14.00-14.30 Follow-up and device diagnostics 14.30-15.00 Complications and troubleshooting 15.00-15.15 Coffee break 15.15-16.30 Simulation session – split into small groups 4 or 5 per station 16.30-17.00 Test your knowledge Quiz **If submitting payment via CPD funding OR Purchase Order (i.e. not a card payment) - please DO complete your registration - you can detail payment method in the ‘Billing name' box. Many thanks. **
This extensive course for beginners provides the basics of chatbots with machine learning, deep learning, AWS, and its applications, building it from scratch with hands-on practice for chatbot development. This course will help you learn basic to advanced mechanisms of developing chatbots using machine learning, deep learning, and AWS with Python.
This course will help you prepare for the AI-900 Exam: Microsoft Azure AI Fundamentals. We will cover the complete exam syllabus as updated in April 2021 with sample questions.
In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.
In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.