245 Algorithms courses delivered On Demand

Covering ARM systems design and architecture and practical assembly programming, this is a comprehensive ARM assembly video course to get you up and running. You'll develop the skills necessary for starting your career as an ARM embedded developer, such as developing algorithms and creating state machines in assembly.

“Quantum Computing for Finance” is a 2-course online program designed for learners to realize the true potential of quantum technologies and its use-cases in Finance. The first course “Introduction to Quantitative and Computational Finance” will develop fundamental concepts required for an understanding of quantum algorithms and more advanced topics in computational finance. This course will teach you the basics of derivative products, the Black-Scholes-Merton model for pricing vanilla derivatives, and how to compute the price of exotic options with a computer. The second course “Quantum Algorithms for Computational Finance” is an advanced course that will develop an understanding of quantum algorithms for their implementation on quantum computers and their applications in finance. This course covers several aspects of quantum programming for people already familiar with the basics of quantum programming and quantitative finance. Buy the program at a reduced price.

The purpose of this course is to teach you how to use Python for machine learning to create real-world algorithms. You will gain an in-depth understanding of the fundamentals of deep learning. This course will help you explore different frameworks in Python to solve real-world problems using the core concepts of deep learning and artificial intelligence.

This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.

This course will be mainly focusing on machine learning algorithms. Throughout this course, we are preparing our machine to make it ready for a prediction test.

Course Overview: Basic Life Support and CPR Training (BLS/CPR) In emergency situations, knowing how to administer Basic Life Support (BLS) and Cardio-Pulmonary Resuscitation (CPR) can be the difference between life and death. This comprehensive course is designed to equip individuals with the essential skills and knowledge required to respond effectively in emergencies where immediate action is crucial. Through a series of modules, participants will learn the fundamentals of BLS and CPR, including airway and breathing management, as well as key cardiac arrest algorithms. Module 1: Introduction to Basic Life Support This module provides a foundational understanding of Basic Life Support (BLS) principles and techniques. Participants will learn the importance of early recognition of emergencies, the role of bystanders in initiating care, and the key components of the Chain of Survival. Topics covered include scene safety assessment, activating emergency medical services (EMS), and initial assessment of the victim's condition. Module 2: Cardiopulmonary Resuscitation (CPR) In this module, participants will learn the proper techniques for performing Cardio-Pulmonary Resuscitation (CPR) on adults, children, and infants. Instruction includes hands-on practice with chest compressions, rescue breathing, and the use of automated external defibrillators (AEDs). Emphasis is placed on achieving adequate compression depth, rate, and allowing for full chest recoil to optimize circulation. Module 3: Airway Management Module 3 focuses on the critical aspect of maintaining an open airway to ensure effective resuscitation efforts. Participants will learn various methods for establishing and maintaining a patent airway, including head-tilt chin-lift and jaw-thrust maneuvers. Additionally, instruction on the use of adjuncts such as oral and nasal airways will be provided. Module 4: Breathing Management Proper breathing management is essential for ensuring adequate oxygenation and ventilation during resuscitation efforts. This module covers techniques for providing rescue breaths to victims who are not breathing adequately, including mouth-to-mouth and mouth-to-mask ventilation. Participants will also learn how to recognize signs of airway obstruction and intervene accordingly. Module 5: Cardiac Arrest Algorithms Module 5 introduces participants to standardized algorithms for managing cardiac arrest situations. Through case scenarios and interactive learning activities, participants will become familiar with the step-by-step approach to assessing and treating cardiac arrest victims. Emphasis is placed on teamwork, effective communication, and the importance of rapid intervention in improving outcomes. Conclusion: Upon completion of this course, participants will possess the knowledge and confidence to respond effectively in emergency situations requiring Basic Life Support (BLS) and Cardio-Pulmonary Resuscitation (CPR). Whether in a healthcare setting or out in the community, these essential skills can make a life-saving difference. Course Curriculum Module 1_ Introduction to Basic Life Support. Introduction to Basic Life Support. 00:00 Module 2_ Cardiopulmonary Resuscitation (CPR). Cardiopulmonary Resuscitation (CPR). 00:00 Module 3_ Airway Management. Airway Management. 00:00 Module 4_ Breathing Management. Breathing Management. 00:00 Module 5_ Cardiac Arrest Algorithms. Cardiac Arrest Algorithms. 00:00

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Bioinformatics is a rapidly growing field that combines biology and computer science to analyze biological data. This course will introduce you to the fundamental concepts and tools of bioinformatics, and you will learn how to apply them to solve real-world problems in biology and medicine.

Master Data Science skills using Python and real time project and go from Beginner to Super Advance level

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