329 Algorithms courses

About the course “Quantum Computing for Finance” is an emerging multidisciplinary field of quantum physics, finance, mathematics, and computer science, in which quantum computations are applied to solve complex problems. “Quantum Algorithms for Computational Finance” is an advanced course in the emerging field of quantum computing for finance. This technical course will develop an understanding in quantum algorithms for its implementation on quantum computers. Through this course, you will learn the basics of various quantum algorithms including: Grover’s and Rudolf’s algorithm, Quantum amplitude Estimation (QAE) algorithm envisioned as a quadratic speed-up over Classical Monte-Carlo simulations, Combinatorial optimization algorithms namely Quantum Approximate Optimization Algorithm (QAOA), and Variational Quantum Eigensolver (VQE), and Quantum-inspired optimization algorithms – Simulated Coherent Ising Machine (Sim-CIM), and Simulated Bifurcation Algorithm (SBA). This course is meant for all those learners who want to explore the long-term employability of quantum computing in finance, assuming that you are familiar with the concepts of quantitative and computational finance. In addition, the course contains several Python based programming exercises for learners to practice the algorithms explained throughout the course. This course is the second part of the specialised educational series: “Quantum Computing for Finance”. What Skills you will learn Ability to perform quantum arithmetic operations and simulations. An understanding of the Quantum Amplitude Estimation algorithm and its variants. The computational and modelling techniques for option pricing and portfolio optimization on a quantum computer. The skills for a career in quantum finance including Quantum Algorithmic Research, Quantitative Asset Management and Trading, financial engineering, and risk management, using quantum computing technology. Course Prerequisites All potential learners must have prior knowledge or familiarity with basic quantum algorithms/basic quantum programming. Before enrolling this course, we recommend all learners to complete the first course “Introduction to Quantitative and Computational Finance” of the series “Quantum Computing for Finance”, if they have no previous experience with the concepts of quantitative and computational finance. Duration The estimated duration to complete this course is approximately 6 weeks (~4hrs/week). Course assessment To complete the course and earn the certification, you must pass all the quizzes at the end of each lesson by scoring 80% or more on each of them. Instructors QuantFiQuantFi is a French start-up research firm formed in 2019 with the objective of using the science of quantum computing to provide solutions to the financial services industry. With its staff of PhD's and PhD students, QuantFi engages in fundamental and applied research in in the field of quantum finance, collaborating with industrial partners and universities in seeking breakthroughs in such areas as portfolio optimisation, asset pricing, and trend detection.

This course covers essential topics required for working with data structures and algorithms using JavaScript. From basics of data structures and algorithms to key concepts, such as arrays, lists, Big O time-space asymptomatic analysis, trees, and maps, this course will teach you everything with the help of engaging examples and activities.

Duration 5 Days 30 CPD hours This course is intended for The Certified Ethical Hacking v12 course will significantly benefit security officers, auditors, security professionals, site administrators, and anyone who is concerned about the integrity of the network infrastructure. Overview Information security controls, laws, and standards. Various types of footprinting, footprinting tools, and countermeasures. Network scanning techniques and scanning countermeasures Enumeration techniques and enumeration countermeasures Vulnerability analysis to identify security loopholes in the target organization?s network, communication infrastructure, and end systems. System hacking methodology, steganography, steganalysis attacks, and covering tracks to discover system and network vulnerabilities. Different types of malware (Trojan, Virus, worms, etc.), system auditing for malware attacks, malware analysis, and countermeasures. Packet sniffing techniques to discover network vulnerabilities and countermeasures to defend against sniffing. Social engineering techniques and how to identify theft attacks to audit human-level vulnerabilities and social engineering countermeasures. DoS/DDoS attack techniques and tools to audit a target and DoS/DDoS countermeasures. Session hijacking techniques to discover network-level session management, authentication/authorization, and cryptographic weaknesses and countermeasures. Webserver attacks and a comprehensive attack methodology to audit vulnerabilities in webserver infrastructure, and countermeasures. Web application attacks, comprehensive web application hacking methodology to audit vulnerabilities in web applications, and countermeasures. SQL injection attack techniques, injection detection tools to detect SQL injection attempts, and countermeasures. Wireless encryption, wireless hacking methodology, wireless hacking tools, and Wi-Fi security tools. Mobile platform attack vector, android vulnerability exploitations, and mobile security guidelines and tools. Firewall, IDS and honeypot evasion techniques, evasion tools and techniques to audit a network perimeter for weaknesses, and countermeasures. Cloud computing concepts (Container technology, serverless computing), the working of various threats and attacks, and security techniques and tools. Penetration testing, security audit, vulnerability assessment, and penetration testing roadmap. Threats to IoT and OT platforms and defending IoT and OT devices. Cryptography ciphers, Public Key Infrastructure (PKI), cryptography attacks, and cryptanalysis tools. CEH provides an in-depth understanding of ethical hacking phases, various attack vectors, and preventative countermeasures. It will teach you how hackers think and act maliciously so you will be better positioned to setup your security infrastructure and defend against future attacks. An understanding of system weaknesses and vulnerabilities helps organizations strengthen their system security controls to minimize the risk of an incident. CEH was built to incorporate a hands-on environment and systematic process across each ethical hacking domain and methodology, giving you the opportunity to work towards proving the required knowledge and skills needed to achieve the CEH credential. You will be exposed to an entirely different posture toward the responsibilities and measures required to be secure. Now in its 12th version, CEH continues to evolve with the latest operating systems, tools, tactics, exploits, and technologies. 1 - Introduction to Ethical Hacking Information Security Overview Cyber Kill Chain Concepts Hacking Concepts Ethical Hacking Concepts Information Security Controls Information Security Laws and Standards 2 - 2 - Foot-printing and Reconnaissance Footprinting Concepts Footprinting through Search Engines Footprinting through Web Services Footprinting through Social Networking Sites Website Footprinting Email Footprinting Who is Footprinting DNS Footprinting Network Footprinting Footprinting through Social Engineering Footprinting Tools Footprinting Countermeasures 3 - Scanning Networks Network Scanning Concepts Scanning Tools Host Discovery Port and Service Discovery OS Discovery (Banner Grabbing/OS Fingerprinting) Scanning Beyond IDS and Firewall Draw Network Diagrams 4 - Enumeration Enumeration Concepts NetBIOS Enumeration SNMP Enumeration LDAP Enumeration NTP and NFS Enumeration SMTP and DNS Enumeration Other Enumeration Techniques Enumeration Countermeasures 5 - Vulnerability Analysis Vulnerability Assessment Concepts Vulnerability Classification and Assessment Types Vulnerability Assessment Solutions and Tools Vulnerability Assessment Reports 6 - System Hacking System Hacking Concepts Gaining Access Escalating Privileges Maintaining Access Clearing Logs 7 - Malware Threats Malware Concepts APT Concepts Trojan Concepts Virus and Worm Concepts Fileless Malware Concepts Malware Analysis Countermeasures Anti-Malware Software 8 - Sniffing Sniffing Concepts Sniffing Technique: MAC Attacks Sniffing Technique: DHCP Attacks Sniffing Technique: ARP Poisoning Sniffing Technique: Spoofing Attacks Sniffing Technique: DNS Poisoning Sniffing Tools Countermeasures Sniffing Detection Techniques 9 - Social Engineering Social Engineering Concepts Social Engineering Techniques Insider Threats Impersonation on Social Networking Sites Identity Theft Countermeasures 10 - Denial-of-Service DoS/DDoS Concepts DoS/DDoS Attack Techniques BotnetsDDoS Case Study DoS/DDoS Attack Tools Countermeasures DoS/DDoS Protection Tools 11 - Session Hijacking Session Hijacking Concepts Application Level Session Hijacking Network Level Session Hijacking Session Hijacking Tools Countermeasures 12 - Evading IDS, Firewalls, and Honeypots IDS, IPS, Firewall, and Honeypot Concepts IDS, IPS, Firewall, and Honeypot Solutions Evading IDS Evading Firewalls IDS/Firewall Evading Tools Detecting Honeypots IDS/Firewall Evasion Countermeasures 13 - Hacking Web Servers Web Server Concepts Web Server Attacks Web Server Attack Methodology Web Server Attack Tools Countermeasures Patch Management Web Server Security Tools 14 - Hacking Web Applications Web Application Concepts Web Application Threats Web Application Hacking Methodology Web API, Webhooks, and Web Shell Web Application Security 15 - SQL Injection SQL Injection Concepts Types of SQL Injection SQL Injection Methodology SQL Injection Tools Evasion Techniques Countermeasures 16 - Hacking Wireless Networks Wireless Concepts Wireless Encryption Wireless Threats Wireless Hacking Methodology Wireless Hacking Tools Bluetooth Hacking Countermeasures Wireless Security Tools 17 - Hacking Mobile Platforms Mobile Platform Attack Vectors Hacking Android OS Hacking iOS Mobile Device Management Mobile Security Guidelines and Tools 18 - IoT and OT Hacking IoT Hacking IoT Concepts IoT Attacks IoT Hacking Methodology IoT Hacking Tools Countermeasures OT Hacking OT Concepts OT Attacks OT Hacking Methodology OT Hacking Tools Countermeasures 19 - Cloud Computing Cloud Computing Concepts Container Technology Serverless Computing Cloud Computing Threats Cloud Hacking Cloud Security 20 - Cryptography Cryptography Concepts Encryption Algorithms Cryptography Tools Public Key Infrastructure (PKI) Email Encryption Disk Encryption Cryptanalysis Countermeasures Additional course details: Nexus Humans EC-Council Certified Ethical Hacker (CEH) v.12 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the EC-Council Certified Ethical Hacker (CEH) v.12 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

There are quite a few issues with manual memory management. Therefore, to avoid memory leaks and optimally use your memory, automatic memory management is essential. In this course, we'll learn about garbage collection as a form of automatic memory management.

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For those interested in the field of genetics and computational biology, who want to gain a deep understanding of the tools and algorithms used in bioinformatics, we have this Bioinformatics & Computational Genomics: Algorithms & Tools course. With the explosion of data in the field of genomics, it can be overwhelming to keep up with the latest tools and techniques in bioinformatics. Without a strong foundation in this field, it can be difficult to navigate the complex algorithms and tools required to make meaningful contributions. Our Bioinformatics & Computational Genomics course provides a comprehensive introduction to the most important algorithms and tools in the field, as well as the latest research in computational genomics. Learning Outcomes: Gain a thorough understanding of the fundamental principles and concepts in bioinformatics and computational genomics. Develop the ability to analyse and interpret genomic data using advanced algorithms and computational tools. Explore the structure and function of proteins, and understand their significance in biological systems. Acquire knowledge of the latest advancements in computational genomics and their application in various research areas. Develop critical thinking skills to tackle complex problems in bioinformatics and propose innovative solutions. Unlock the world of Bioinformatics & Computational Genomics with our comprehensive course. Delve into the fascinating realm of genetic data analysis, algorithms, and tools, and discover how they shape our understanding of complex biological systems. Throughout this immersive learning experience, you will explore diverse topics, including computational genomics, protein structure and function, and applied bioinformatics. With a strong focus on theoretical concepts, this course equips you with the essential knowledge to navigate the vast landscape of bioinformatics research. Embark on a transformative journey as you unravel the mysteries hidden within the genomes. Our carefully designed curriculum covers the key principles, algorithms, and tools that drive breakthroughs in bioinformatics. By delving into the intricacies of genomic data analysis, you will gain valuable insights into the structure and function of proteins, enabling you to decipher the language of life at a molecular level. Immerse yourself in the world of computational genomics and embrace the power of algorithms in unlocking the secrets of genetic information. This course is tailored for individuals passionate about genomics and computational biology. Whether you're an aspiring researcher, a healthcare professional, or a biology enthusiast, this course will ignite your curiosity and expand your horizons. No prior knowledge of bioinformatics is required, as we provide a solid foundation to help you navigate this captivating field. Enrol in the course right now! Certification Upon completion of the Bioinformatics & Computational Genomics: Algorithms & Tools course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The target audience for the course is: Researchers looking to enhance their knowledge and expertise in bioinformatics and computational genomics. Healthcare professionals interested in understanding the computational aspects of genomics and its applications. Biology students seeking to explore the intersection of biology and computer science. Enthusiasts eager to unravel the mysteries of genomics and gain a deeper understanding of the computational tools used in bioinformatics. Career path Some of the career paths related to this field are: Bioinformatics Analyst: £30,000 - £50,000 per annum Computational Genomics Researcher: £35,000 - £60,000 per annum Data Scientist (Genomics) £40,000 - £70,000 per annum Genomic Data Analyst: £35,000 - £55,000 per annum Bioinformatics Software Developer: £40,000 - £65,000 per annum Academic Researcher (Bioinformatics): £35,000 - £70,000 per annum

Building a parser is one of the early steps of designing a compiler. And to build a parser, it is important to learn about the different parsing techniques and how they work. In this course, we are going to learn just that.

What Will I Learn? Choose a perfect automated trading strategy Build a portfolio consisting of trading algorithms Learn what criteria a trading algorithm should match Learn when to exclude a strategy from portfolio Learn advantages of using trading algorithms Learn where to find automated trading strategies Understand why it's better to trust an algorithm than a human Learn what markets to trade using trading algorithms Requirements No programming skills required Just an open mind Basic Excel Description Updated in June'16! Learn how to make 95% of profit in just 14 months! Learn how to choose automated trading strategies and force them to earn money for you! In this course, I will show you several platforms where you can find a variety of trading robots. But, more importantly, I will give you a list of criteria to choose perfect strategies and teach you how to select them in practice. I will explain what to take into account when you have to choose between two similar strategies. You will also get a basic knowledge of trading algorithms, their advantages as compared to manual trading, which markets it's better to trade using automated trading strategies. I believe by the end of this course you will be able to build your own portfolio and make profits. Take this course now and learn from my 12+ years of experience. This course is for beginners as well as for advanced traders and algorithm developers! All you need is just your aspiration to learn! With this course you also get: unlimited lifetime access at no extra costs all future additional lectures, live trading examples never any questions asked full 30-day money-back-in-full guarantee Do not hesitate to ask me any questions concerning this course or trading financial markets! Viktor Who is the target audience? Anyone interested in trading Financial Markets Professional traders and algorithm developers Anyone who wants to create a passive income on Financial Markets, but has no time to spare how to trade Forex, stocks, options and especially futures traders Those, who want to trade algorithms, but don't know where to start And finally, anyone who has bad experience in trading Introduction What this course is about FREE 00:02:00 What do you need to start this course FREE 00:02:00 Live Results 00:03:00 Performance Update (November'15) 00:04:00 Performance Update (January'16) 00:05:00 Performance update (June'16) 00:06:00 Performance Update (October'16) 00:06:00 What instruments do you prefer to invest? What are Financial Markets? 00:06:00 What is algorithmic trading? 00:03:00 Risks from using trading algorithms 00:05:00 What markets to trade (Futures against Forex) 00:06:00 The external side of the robot What criteria to use to choose a strategy 00:09:00 How to create a portfolio 00:02:00 How to exclude a strategy from portfolio 00:03:00 Where to invest 00:05:00 iSystems in details 00:09:00 Learn from experience What strategies to use. Creating a portfolio (part 1) 00:08:00 What strategies to use. Creating a portfolio (part 2) 00:07:00

Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.

Duration 2 Days 12 CPD hours This course is intended for This intermediate course is for Business and Technical Specialist working with the Matching, Linking, and Search services of InfoSphere MDM Virtual module. Overview Understand how Matching and Linking work for both the Virtual Implementations of InfoSphere MDM Understand the MDM configuration project and database tables used by the PME Understand the PME Algorithms (Standardization, Bucketing and Comparison steps) and how to create and customize the algorithms using the workbench Understand how to analyze the Bucketing steps in an algorithm Understand how to generate weights for a given algorithm and how those weights are generated based on a sample database set Understand how to analyze the weights that are generated using the workbench Understand how to deploy the PME configuration for the Virtual implementations of InfoSphere MDM The InfoSphere MDM Virtual Module Algorithms V.11 course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for Virtual MDM implementations. PME and Virtual Overview Virtual MDM Overview Terminology (Source, Entity, Member, Attributes) PME and Virtual MDM ( Algorithms, Weights, Comparison Scores, Thresholds) Virtual MDM Linkages and Tasks Virtual MDM Algorithms Standardization Bucketing Comparison Functions Virtual PME Data Model Algorithm configuration tables Member Derived Data Bucketing Data Bucket Analysis Analysis Overview Attribute Completeness Bucket Analysis Weights Weights Overview (Frequency-based weights, Edit Distance weights and Parameterize weights) The weight formula Running weight generation Analyzing weights Bulk Cross Match process Pair Manager Threshold calculations Additional course details: Nexus Humans ZZ880 IBM Virtual Module Algorithms for InfoSphere MDM V11 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the ZZ880 IBM Virtual Module Algorithms for InfoSphere MDM V11 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.