329 Algorithms courses

About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

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Become a Python developer and build a rewarding career in tech. Python is one of the most popular and in-demand programming languages in the world. Python is used by companies of all sizes, from startups to Fortune 500 companies, to develop a wide range of applications, including web applications, data science tools, and machine learning algorithms. The demand for Python developers is rising rapidly in the UK, with job postings for Python developers increasing by 22% in the past year. The average salary for a Python developer in the UK is £65,000, making it one of the highest-paid programming languages. Our Python Programming - Beginner to Advanced course will teach you everything you need to know to become a Python developer. You will learn the fundamentals of Python programming, as well as more advanced topics such as object-oriented programming, data structures, and algorithms. You will also learn how to use popular Python libraries and frameworks, such as Django and NumPy. Why would you choose the Python Programming course from Compliance Central: Lifetime access to Python Programming course materials Full tutor support is available from Monday to Friday with the Python Programming course Learn Python Programming skills at your own pace from the comfort of your home Gain a complete understanding of Python Programming course Accessible, informative Python Programming learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Python Programming Study Python Programming in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Python Programming course Python Programming Curriculum Breakdown of the Python Programming Course Section 01: Introduction & Getting Started Section 02: Downloading and Installing Python Editor Section 03: Getting Started Section 04: Variables and Basic Data Types in Python Section 05: Comments Section 06: Input Section 07: Exercise - Build a Program to Say Hello Section 08: Exercise - Build a Simple Calculator Section 09: Conditional Statements Section 10: Loops - For Loop Section 11: Loops - While Loop Section 12: Exercise - Building a Username Password App. Python Programming - Beginner to Advanced Course Learning Outcomes: Familiarise with Python's core principles and setup. Understand fundamental data types and variable operations in Python. Recognise the significance and application of comments in Python. Master the art of obtaining and processing user input in Python. Employ conditional structures with proficiency. Navigate confidently within both "For" and "While" loops. Conceptualise and draft rudimentary Python applications. Certificate of Achievement After successfully completing this Python course, you can get a digital and a hardcopy certificate for free. The delivery charge of the hardcopy certificate inside the UK is £3.99 and international students need to pay £9.99 to get their hardcopy certificate. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Python Programming course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Python Programming. It is also great for professionals who are already working in Python Programming and want to get promoted at work. Requirements To enrol in this Python Programming course, all you need is a basic understanding of the English Language and an internet connection. Career path The Python Programming course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Python Programming. Python Developer: £35,000 to £70,000 per year Data Analyst (Python): £30,000 to £55,000 per year Software Engineer (Python): £40,000 to £75,000 per year Machine Learning Engineer: £45,000 to £80,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Isn't it interesting that you searched for something on the internet and some relevant results appeared? Alternatively, you can enter your daily data into a health app that automatically recommends a diet and exercise routine for you. All of this would not have been possible without data science. The modern world is entirely dependent on Machine Learning, Artificial Intelligence, Neural networks or data science in one phrase. Data science is a new field with no established leaders. It's too difficult to decide which one to learn, which leads to even more frustration because you can't make any progress. It is becoming more important, but the market for skilled data scientists is limited and competitive. What if you are one of those individuals? If you have a background in maths or statistics, we have good news: you can become a data scientist with little training! Anyone can become a data scientist with the help of our Data Science courses. Whatever your background, this training will teach you how to analyse and interpret data to generate new insights that lead to better decisions and results. Our interactive materials set us apart and make us more effective for our students. So don't be late to take your place. Enrol now! Learning Outcomes Understanding of the basic concepts and techniques in data science, such as data exploration, cleaning, and preprocessing Knowledge of statistical analysis methods, including hypothesis testing, regression analysis Learn probability theory and it's use in Data science Knowledge of Advanced regression & machine learning algorithms Ability to communicate data science results effectively to a non-technical audience. Key Highlights for Data Science Course: Developed by industry experts Instant e-certificate and hard copy dispatch by the next working day Interactive course with audio voice-over 24/7 Learning Assistance Lifetime access & update without any limits Unlimited Retake Exam and premium support for life Easy Accessibility to the Course Materials- Anytime, Anywhere - From Any Smart Device (Laptop, Tablet, Smartphone Etc.) 100% Learning satisfaction guarantee Covers to explore multiple job positions One-stop solution for entrepreneurs and Jobseekers Fastest growing sector Boost your salary on program completion Learn from diligent experts Expert-verified response for quality education So, You should not wait too long. Now is the time to enrol! Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. So, enrol and excel in your career with Compliance Central. Curriculum Breakdown of the Course Section 01: Let's get started Section 02: Descriptive statistics Section 03: Distributions Section 04: Probability theory Section 05: Hypothesis testing Section 06: Regressions Section 07: Advanced regression & machine learning algorithms Section 08: ANOVA (Analysis of Variance) Section 09: Wrap up CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this course. Requirements To enrol in this Data Science course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Data Science, such as- Data Analyst: £25,000 to £45,000 per year Data Scientist: £35,000 to £60,000 per year Business Intelligence (BI) Analyst: £30,000 to £50,000 per year Machine Learning Engineer: £40,000 to £70,000 per year Data Engineer: £35,000 to £60,000 per year Data Consultant: £45,000 to £75,000 per year Certificates CPD Accredited Hard Copy Certificate Hard copy certificate - Included CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: £3.99 each Outside of the UK: £9.99 each CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate

A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

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Embark on a journey into the world of Java cryptography with our course, 'Java Certification Cryptography Architecture.' This course is designed to provide a deep dive into the critical aspects of Java's cryptographic capabilities, offering a blend of theoretical knowledge and practical application. Start with the basics in our introductory section, which sets the stage for a deeper exploration of Java Cryptography Architecture. As you progress, the course meticulously unfolds the complexities of message digest algorithms, MAC (Message Authentication Code), and PBKDF2 (Password-Based Key Derivation Function 2). This course is not just about coding; it's a comprehensive guide to understanding and implementing Java-based cryptographic solutions in real-world applications. Advance through the curriculum and discover practical examples of hashing, both simple and real-world, enhancing your ability to secure data effectively. Delve into efficient stream-based hashing and learn how to implement robust password hashing using PBKDF2. The course also includes a section on commercial wrapper libraries, demonstrating the integration of Java cryptography in commercial applications. By the conclusion of the course, you'll not only be proficient in Java Cryptography Architecture but also equipped with the skills to apply these cryptographic techniques in various professional scenarios, ensuring data security and integrity. Learning Outcomes Develop a foundational understanding of Java Cryptography Architecture. Learn to implement hashing algorithms and message digest techniques in Java. Gain expertise in creating and using MAC for data security. Master the application of PBKDF2 for secure password hashing. Understand the use of commercial wrapper libraries in Java cryptography. Why choose this Java Certification Cryptography Architecture course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Java Certification Cryptography Architecture course for? Software developers and programmers looking to specialize in Java cryptography. IT professionals seeking to enhance their data security skills. Computer science students interested in cryptography and data protection. System architects designing secure Java-based applications. Security enthusiasts keen on exploring Java's cryptographic capabilities. Career path Java Developer: £25,000 - £50,000 Software Engineer (Java): £30,000 - £60,000 Information Security Analyst: £35,000 - £70,000 Cryptography Engineer: £40,000 - £80,000 Application Security Developer: £38,000 - £75,000 Systems Architect (Java): £45,000 - £85,000 Prerequisites This Java Certification Cryptography Architecture does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Java Certification Cryptography Architecture was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introductory Lecture 00:02:00 Setup 00:03:00 Section 02: Java Cryptography Architecture: MessageDigest, MAC & PBKDF2 Simple Hashing Example 00:05:00 Real-world Hashing Example 00:07:00 Efficient Stream-Based Hashing 00:02:00 Message Authentication Code (MAC) 00:05:00 Secure Password Hashing with PBKDF2/PKCS#5 00:10:00 Section 03: Outro Commercial Wrapper Libraries: Demo 00:03:00 JCE Unlimited Strength Policy File Installation 00:03:00 Assignment Assignment - Java Certification Cryptography Architecture 00:00:00

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Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.

Overview Join our Bioinformatics course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Bioinformatics course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Bioinformatics course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You Will Learn Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Bioinformatics. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Bioinformatics. Enrol today and complete the course to achieve a certificate that can change your career forever. Process of Evaluation Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Certificate of Achievement After completing the Bioinformatics course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Bioinformatics is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Bioinformatics course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career path The certification and skills you get from this Bioinformatics Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 01: Introduction to Bioinformatics Introduction to Bioinformatics 00:10:00 Module 02: Topics in Computational Genomics Topics in Computational Genomics 00:10:00 Module 03: Algorithms in Computational Biology Algorithms in Computational Biology 00:10:00 Module 04: Applied Bioinformatics Tools Applied Bioinformatics Tools 00:10:00 Module 05: Structure and Function of Proteins Structure and Function of Proteins 00:10:00 Assignment Assignment - Bioinformatics 00:00:00