This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds
About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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
About this Virtual Instructor Led Training (VILT) Electrification of the transportation sector will impact the power system in several ways. Besides the additional load, local impact on the grid needs to be managed by the grid operators. Simultaneously charging of many electric vehicles (EVs) might exceed the limits in specific locations. On the other hand, EVs can provide flexibility and other ancillary services that will help grid operators. This 3 half-day VILT course will provide a complete overview of integrating electric vehicles (EVs) into the power grid. It will cover the whole value chain from grid operations to the car battery. This includes the control room, possible grid reinforcement, demand side management and power electronics. This course will demonstrate the impact on the grid and solutions for a safe & cost-effective grid plan and operation, with examples of successful integration of EVs. The course will also provide vital knowledge about technology used for EVs such as power electronics, demand side management, communication and batteries. In this context, the focus will be on power electronics as it has the highest impact on the grid. The grid planning tool, pandapower, is introduced as an open source tool for power system modelling. The set-up of the training course allows for discussion and questions. Questions can be formulated by the participants upfront or during the training. This course is delivered in partnership with Fraunhofer IEE. Training Objectives At the end of this course, the participants will: Understand the charging options for EVs and its impact on the grid and batteries Identify system services for EVs with regards to voltage quality at the point of common coupling Discover what are the 'grid friendly' and grid supporting functions in EVs Uncover the different applications, standards and data researched on EVs Examine the application of a grid planning tool (pandapower) for power system modelling Be able to develop code snippets with pandapower Apply and execute a code example for power system modelling with pandapower Target Audience EV and grid project developers and administrators Power grid operators and planners EPC organisations involved in grid development EV/ battery manufacturers and designers EV transport planners and designers Government regulators and policy makers Training Methods The VILT will be delivered online in 3 half-day sessions comprising 4 hours per day, with 2 x 10 minutes breaks per day, including time for lectures, discussion, quizzes and short interactive exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end of every session/day. Trainer Our first course expert is Head of Department Converters and Electrical Drive Systems at Fraunhofer IEE and Professor for Electromobility and Electrical Infrastructure at Bonn-Rhein-Sieg University of Applied Sciences. He received his engineering degree in automation in 2008 by the THM Technische Hochschule Mittelhessen (FH Giessen-Friedberg). Afterwards he studied power engineering at University of Kassel and received his diploma certificate in 2010. In 2016 he received the Ph.D. (Dr.-Ing.) from the University of Hannover. The title of his dissertation is Optimized multifunctional bi-directional charger for electric vehicles. He has been a researcher at the Fraunhofer IEE in Kassel since 2010 and deals with power converters for electric vehicles, photovoltaics and wind energy. His current research interests include the bidirectional inductive power transfer, battery charger and inverter as well as new power electronic components such as SiC MOSFETs and chokes. Additionally, our key expert is Chairman of the IEEE Joint IAS/PELS/IES German Chapter and a member of the International Scientific Committee of the EPE Association. Our second course expert is deputy head of energy storage department at Fraunhofer IEE. Prior to this he was the Director of Grid Integration department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, our course expert was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a degree of electrical engineering of the University of Kassel, Germany. In 2003 he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the 'Institute of Solar Energy Supply Technology' (now Fraunhofer IEE) in Kassel. In 2004 he started his career at RWE TSO with main focus on wind power integration and congestion management. Our course expert is chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Our third course expert is Research Associate at Fraunhofer IEE. He is actively working on different projects related to the integration of electric vehicle charging into the electric distribution grid. The focus of this work concerns time series based simulations for grid planning and operation in order to investigate the effect of a future rollout of electric vehicles and charging infrastructure on economics e.g. costs for grid reinforcement. He completed his master degree (MSc.) in Business Administration and Engineering: Electrical Power Engineering at RWTH Aachen University, Germany. Our trainers are experts from Fraunhofer Institute for Energy Economics and Energy System Technology (Fraunhofer, IEE), Germany. The Fraunhofer IEE researches for the national and international transformation of energy supply systems 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 about post training coaching support and fees applicable for this. Accreditions And Affliations
This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code. This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references. This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables. 1 The query editor Split by row delimiter AddDays to determine deadlines Advanced query editor 2 Fuzzy matching joins Matching inconsistencies by percentage Matching with transformation table 3 Logical column functions Logical functions IF, AND, OR Using multiple conditions Including FIND in functions 4 Editing DAX measures Make DAX easier to read Add comments to a measure Using quick measures 5 The anatomy of CALCULATE Understanding CALCULATE context filters Adding context to CALCULATE with FILTER Using CALCULATE with a threshold 6 The ALL measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentage 7 DAX iterators Anatomy of iterators A closer look at SUMX Using RELATED in SUMX Create a RANKX RANKX with ALL 8 Date and time functions Overview of functions Create a DATEDIFF function 9 Time intelligent measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 10 Visualisations in-depth Utilising report themes Create a heatmap Comparing proportions View trends with sparklines Group numbers using bins Setting up a histogram 11 Comparing variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint 12 User level security Setting up row level security Testing user security
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ISO 30401 sets requirements and provides guidelines for establishing, implementing, maintaining, reviewing and improving an effective management system for knowledge management in organizations. All the requirements of this standard are applicable to any organization, regardless of its type or size, or the products and services it provides. Knowledge management is the intentional process of defining, structuring, retaining, and sharing an organization’s employees’ knowledge and experience.
Why AutoCAD Night Training Course? This Autodesk AutoCAD 2D Evening Course, 10 hours, is perfect for beginners aiming to create 2D plans, elevations, sections. It covers all tools in AutoCAD 2D, making it valuable for both newcomers and those aspiring to enhance their skills. Click here for more info: Website When: Personalized 1-on-1 sessions. Available from Mon to Sat 9 am to 7 pm. Book over the phone, call 02077202581 Duration: 10 hours (Split 10 hrs over as many as days you want) Method: In-person or live online training Course Content: Foundational Shape Construction Manipulating Lines, Arcs, and Polylines Optimizing Object Alignment with Grip Tools Data Management and Backup Protocols File Format Exploration and Understanding Disaster Recovery Strategies Advanced Object Creation Techniques Precision Measurement Unit Handling Dynamic Input Methods Utilizing Inquiry Commands and Measurement Tools Effective Object Visualization and Navigation Zoom, Pan, and Object Manipulation Swift Object Management Strategies Object Transformation and Alteration Techniques Functions for Trimming, Extending, and Offsetting Objects Creating Various Geometric Shapes Object Editing, Joining, and Filleting Stretching and Organizing Objects Layer Management and Customization Configuring Object Properties and Linetypes Designing Layouts and Efficient Page Configurations Scaling Drawing Views and Adding Annotations Text Creation, Styling, and Editing Dimensioning Principles and Customization Implementing Multileaders for Annotations Object Hatching and Editing Techniques Managing Reusable Content: Blocks and Symbols Utilizing Tool Palettes and Working with Groups Understanding Model Space and Paper Space Creating Layouts and Viewports Scaling Viewports and Plotting/PDF Output Managing Multiple Sheet Drawings Optimizing Plotstyles for Printing Creating Custom Drawing Templates To download AutoCAD, visit Autodesk's official website. Advantages: AutoCAD stands as the industry-leading computer-aided design (CAD) software, widely adopted for creating architectural, engineering, and construction drawings. Acquire essential skills applicable across a diverse spectrum of industries. Assessment: Evaluation will occur informally during classes, which comprehensively cover specific topics, complemented by practical drawing exercises to reinforce skills and knowledge. Additionally, we offer longer, independent drawing tasks that encompass multiple acquired skills, evaluated against professional benchmarks. Requirements: Prospective participants should possess basic computer literacy and engagement in professions where CAD is utilized. English Proficiency: Applicants are expected to demonstrate proficiency in both written and spoken English. Why Opt for This Course? Our AutoCAD course is your gateway to mastering the essential skills for creating top-notch technical drawings. Designed with beginners in mind, this course is perfect for individuals who have little to no prior experience with AutoCAD. If your work or studies involve CAD drawings, gaining a solid grasp of the program is crucial for confidence and proficiency. Upon enrollment, students gain access to a free 30 days trial. While classes are conducted using AutoCAD on PC, it's worth noting that the course is compatible with AutoCAD on Mac, albeit with slight interface variations. Who Should Attend? This course caters to those eager to acquire the skills necessary for creating and interpreting drawings produced in AutoCAD. Our diverse system hails from various industries, including engineering, architecture, landscape architecture, construction, electronics, and product design. Why Opt for CAD Training? Practical Learning Experience: Immerse yourself in hands-on training. Personalized One-to-One AutoCAD Classes: Benefit from individualized attention. Expert and Knowledgeable Instructors: Learn from skilled and experienced teachers. Online Training Recordings: Access recorded AutoCAD training sessions online. Best Price Guarantee: Enjoy competitive pricing with a satisfaction guarantee. Pre and Post-Training Support: Receive lifetime free support before and after completing your training. Flexible Schedule: Choose your class timings and dates-weekdays, weekends, or evenings. Tailored Course Content: Customize the AutoCAD course to align with your specific needs. Access Anywhere: Access AutoCAD training and support from any location.
A personalized 1-1 session of Shamanic Yoga is a session of healing of the body according to the blockages and limitations that appear to your eyes, which give us the key to solve in a marvellous way what your soul needs. This yoga is suitable to everyone and it is very easy and creative. SHAMANIC YOGA is ancestral, ancient, pre-vedic. It has the element of ecstasy, of a non ordinary state of consciousness, where you work with nature, animals, yantras, mantras, mudras, rituals, initiations in the imaginal forest, in the natural code, non the social code. Merceliade says that this yoga is the oldest form of yoga and we find it in various traditions: Hindu tradition (Shaktism), Himalayan (Naropa, Milarepa etc), South America (Andean yoga), Siberia, Mongolia, Japan (Yamabushi), Taoism, Alchemy. Shamanic yoga is not an exercise of the body, but a mystical, esoteric and initiatory healing practice that is distinguished by two characteristics; the first is ecstasy, the ability to communicate with the invisible, regaining the state of non-duality that is the typical goal of the yogin’s path. Ecstasy is not achieved by hypnosis or drugs or external means, but by means of instruments such as the drum, the breath and is not the trance of the medium. The shaman does not speak through the voice of spirits but draws knowledge directly from them. The second characteristic is the ability to bring back through narration or storytelling what has been grasped in the invisible worlds, during the shamanic journey, and to convince the matter to transform into reality what is told. Through narrative I awaken forces that then I can bring to life. Giada’s teachings are also combined with INTEGRAL OR PURNA YOGA founded by Sri Aurobindo “Purna’ means ‘complete’ and Purna Yoga distils and integrates the vast aspects of yoga into an invaluable set of tools for transformation and healing. It offers more than just physical exercise. Purna Yoga teaches the mind, body and emotions how to be at home with the spirit. Purna Yoga is the art of loving oneself by living from the heart. By attending to our classes, workshops, 1 to 1 sessions and retreats you agree to our TERMS AND CONDITIONS Payment Bookings are non-refundable. Disclaimer By booking a class or workshop or retreat or 1-1 session -online or any other venues – with us, you release Giada Gaslini, Invisible Caims and any business partners working with Invisible Caims from any liability arising out of any personal injuries, emotional or physical release, death, expectations of results, theft in the venue or damages that may happen to people and objects while attending. We recommend that you consult your GP regarding the suitability of undertaking an exercise programme, if the class you are booking includes it like with yoga or similar, and following all the safety instructions required before beginning to exercise. When participating in an exercise, there is the possibility of sustaining a physical injury. If you engage in this exercise programme, you agree that you do so at your own risk, are voluntarily participating in these activities and assume all risk of injury to yourself. You acknowledge that coaching, shamanic healing and counselling are not to be used as a substitute for psychotherapy, psychoanalysis, mental health care, or other professional advice by legal, medical or other professionals. Our sessions are aimed at inner research, problem solving and personal growth, they do not replace the work of doctors and psychotherapists because they do not consider, treat or aim to solve pathologies and symptoms that are strictly medical. All contracts subject to and governed by the law according to my current insurance. Added element of the disclaimer If the class happens in any venue and you are causing any damage to the property, you are taking responsibility of your actions. It is down to the individual to take personal responsibility when participating in physical activity and when entering a space that is used and shared by other parties. Invisible Caims does not take any responsibility about possible risks that may arise but can only advise and enforce guidelines and legal requirements as defined by the Scottish Government and local authorities.
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