Outline: This course is intended to provide an introduction to the different kinds of cladding and glazing systems used on modern buildings, including curtain walling and built-up walls (rainscreen and render systems). It will introduce key performance criteria, specification and verification of façade systems, in addition to discussing the supply chain and construction. It will identify key British, European and CWCT standards and guides relevant to those systems. Target Audience: This course is aimed at those who are new to the design and performance of the building envelope, those who require a refresher course, or those wishing to broaden their knowledge on the type of modern cladding and glazing systems that are commonly used. Learning objectives: Understand the fundamental principles of weathertightness, Recognise key modern cladding and glazing systems, Understand key performance criteria and how walls are specified, Appreciate how performance is verified, Appreciate industry structure and the cladding supply chain. Assessment: Assessment will be via a series of multiple-choice questions following the course, The assessment is timed and must be passed in order to receive a CPD certificate for the course, If the assessment is failed, one re-take will be permitted. Prerequisites: None. Course availability: 02-29 September 2024 Lecture time: 1 day Price: Member price Non-Member price £180 + VAT £360 + VAT
Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.
Love to take photos? Want to take photos of the world around you? Enroll the Diploma in Landscape Photography course and learn advanced tips and techniques if Landscape Photography and take your landscape photography to the next level so that you can create the stunning photos. Landscape photography portrays spaces within the world covering the photos of the wilderness with no human influence or simple nature photo. Imagine a situation and environment, where you are in the middle of nowhere, surrounded by nature without the presence of humankind - how does it feel? This is landscape photography. It refers to capturing the images that epitomise the spirit of the outdoors. You can take Landscape photography at sunrise or sunset. The course teaches you the techniques of capturing perfect Landscape photography. You will learn how to set up the camera, how to use a polarised filter, wild vs telephoto photograph, editing basics, removing unwanted objects, and more. After finishing the course, you will be able to take Landscape photographs like a professional Landscape photographer. What Will I Learn? You will learn how to take beautiful landscape photographs - like the pros! You will be happier with the photos you shoot than ever before! You will know what equipment you need to shoot great landscape photos You will understand how to set your camera's ISO, shutter speed, and aperture (f-stop) while shooting landscape photographs You will know how to use a polarizing filter to make your landscape photography even better You will know how to choose the right lens for your landscape photography You will know how to edit your landscape photos to make them look better Requirements While this course was created for beginner photographers, it would be beneficial for you to understand basic photography concepts such as aperture, shutter speed, and ISO. We have included a refresher lesson that will get you up to speed if you need it. This is a great follow up to our Photography Masterclass, which will get you up to speed to dive right into this course. You can use any camera to take great landscape photos. We'll be using Canon, Nikon, Leica, and Fujifilm DSLR and Mirrorless cameras + smartphones like the iPhone Module: 01 Introduction FREE 00:01:00 Gear for Landscape Photography FREE 00:04:00 Module: 02 Planning Your Trip with Will 00:02:00 Our Gear - What's in Our Bag 00:05:00 Shooting at Sunrise 00:10:00 Landscape Basics & Composition 00:06:00 Camera Setting Refresher with Phil 00:08:00 Phil & Sam Go Over the Basics 00:09:00 Module: 03 How to shoot Panoramas 00:05:00 Wide vs. Telephoto Photographs 00:04:00 Using a Polarizer Filter 00:03:00 Sunset Photography 00:05:00 Module: 04 Intro to Editing 00:02:00 Adobe Lightroom Crash Course 00:14:00 Our Basic Landscape Editing Process 00:11:00 Quickly Straighten Horizons 00:01:00 Remove Unwanted Objects in Lightroom 00:02:00 Module: 05 Using Graduated Filters 00:06:00 Phil Edits a Landscape Photo 00:17:00 Sam's Editing Workflow 00:11:00 WiIII's Editing Process 00:19:00 All Three Edit the Same Photo 00:23:00 Sam Edits a Sunrise Photo 00:09:00 How to Create an HDR Photo in Lightroom 00:02:00 Stitch Together a Panorama in Lightroom 00:06:00 Stitch Together a Panorama in Photoshop 00:03:00 Exporting a Photo for Web or Print 00:10:00 Conclusion 00:01:00 Resource Files Resource Files - Diploma in Landscape Photography 00:00:00
Course Objectives At the end of this course you will be able to: Manage project costs Consolidate and reuse project plan information Exchange project plan data with other applications Update a project plan Customise Project to meet specific requirements ' 1 year email support service Take a look at the consistent excellent feedback from our corporate clients visiting our site ms-officetraining co uk Customer Feedback Really useful and engaging course. Learnt a lot that will be very beneficial in my job. Trainer was great. Kelly Moreley - TACT Very happy with the course. Worked as a good refresher from what I knew already and enhanced my knowledge further Jenny Price - Acer ' With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Exchanging Project Plan Data with Other Applications Import a list of tasks from Outlook Import a Task List from an Excel File Create a Custom Import Map Export Project Plan Cost Data into Excel Save Project Plan Information as a Web Page Updating a Project Plan Enter Task Progress Information View Task Progress Split a Task Reschedule a Task Creating Custom Fields Text fields Lookup fields Calculated fields with the use of formulas and functions Inserting Graphical Indicators Customizing how you look at data Filter Tasks in a Project Plan Create a Custom Table Create a Custom View Copy custom Views and Tables between projects Earned value analysis Understanding Earned Value Fields View Multiple Baselines in a Single Project Tracking progress between interim plans Creating Custom Reports Create a Custom Report Modify a Custom Report's Header and Footer Add a Picture to a Report Modify a Custom Report's Margins Print a Custom Report Re-using Project Plan Information Create a Project Plan Template Create a Custom Combination View Make Custom Views Available to Other Project Plans Share Resources between Projects, Create a Master Project Plan with sub projects Who is this course for? Who is this course for? This course is designed for those that who already have the skills to create and modify project plans and would like to acquire a more in depth and thorough knowledge of more advanced functionalities in project planning and tracking. Requirements Requirements Preferably, delegates would have attended the MS Project Introduction course. Career path Career path Microsoft Office know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills
Watch a film, don't read a powerpoint! Asbestos Awareness is an important and necessary part of safety awareness at work. By understanding the risks associated with asbestos, you can help to create a safer working environment for yourselves, your colleagues and those around you. Taking an online course on Asbestos Awareness is a convenient and cost-effective method of gaining knowledge on the dangers that this substance can pose
Get your Award for Personal Licence Holders qualification here with us at Knight Training! The Scottish Personal Licence Holders certificate (SCPLH) is the prerequisite for you to get your Personal Licence, aimed at anyone who wishes to sell or authorise the sale of alcohol. The course is a legal requirement, and it basically runs through the responsibilities that one must know in order to sell alcohol in a designated premises. Here at Knight Training we welcome our customers with open arms and provide the best service possible. Why waste more time? Call us now on 01524 388279 to get your SCPLH today!