Courses in Glasgow

Master Deep Learning Heuristics with R! This course will teach you how to use Deep Learning Heuristics to solve complex problems in Agriculture, Cryptocurrencies, Energy Sector, and Financial Markets. With R, you will be able to develop and implement efficient and scalable solutions.

During this on-demand session tutor Dr Nikki Osborne discusses: * the 3V's (construct, internal and external validity), * what makes a good hypothesis, * the PREPARE guidelines, * what to think about before designing your experiments including systematic reviews, * sources of bias and how to minimise their impact on your research, * defining the experimental unit, * approaches to maximise the signal to noise ratio, plus calculating the correct sample size, * common sources of variation and how to take them into account in your experimental design, * ARRIVE 2.0 for reporting animal studies. * freely available tools and resources to support individuals to develop their knowledge, understanding and skills further.

Description Register on the Essential Training on Deep Learning Heuristic using R today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Essential Training on Deep Learning Heuristic using R course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Section 01: Experimental Design - Heuristics Project 1-Agriculture Course Contents 00:08:00 Creating Dataframes 00:09:00 Generating Descriptive 00:11:00 Generating Descriptive Continued 00:10:00 Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies Setting Directory and Environment 00:11:00 Assigning Variables 00:09:00 Syntax and Command Part 1 00:09:00 Syntax and Command Part 2 00:10:00 Syntax and Command Part 3 00:07:00 Setting Directory and Environment-Cryptocurrencies 00:09:00 Spearman Techniques 00:08:00 Generating Line Graphs 00:09:00 Generating Scatter Plots 00:10:00 Generating Multiple Scatter Plots 00:10:00 Section 03: Experimental Design: Heuristics Project 3-Energy Sector Understanding Regression Modeling Theory 00:10:00 Implementing Linear Regression Modeling 00:10:00 Syntax and Commands 00:10:00 Generating Scatter Plots-Energy Sector 00:09:00 Multiple Scatter Plots 00:09:00 Section 04: Experimental Design: Heuristics Project 4-Financial Markets Creating Dataframes-Financial Markets 00:08:00 Understanding Multiple 00:09:00 Implementing Multiple Regression Model in R 00:10:00 Plot and Draw Line of Fit 00:10:00 Multiple Scatter Plots in a Graphical Frame 00:07:00 Resource Resource - Essential Training on Deep Learning Heuristic using R 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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.

Ignite your passion for the fascinating world of chemistry with our comprehensive bundle: Diploma in Chemistry, Water Chemistry & Biochemistry. Are you ready to embark on a journey of scientific discovery and unlock the secrets of matter, water, and life itself? In the United Kingdom, the field of chemistry offers a wide range of career opportunities with competitive salaries ranging from £25,000 to £50,000 per year. This dynamic bundle encompasses three immersive courses that cover the fundamentals of chemistry, specialised knowledge in water chemistry, and the captivating realm of biochemistry. Our courses delve into crucial topics such as chemical reactions, laboratory techniques, water quality analysis, environmental chemistry, and the biochemical processes that underpin life. Each course in this Chemistry bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Diploma in Chemistry bundle promises education and an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now! The three courses in this bundle include: Course1: Diploma in Basic Chemistry Course 2: Diploma in Water Chemistry Course 3: Biochemistry Learning Outcomes: Develop a comprehensive understanding of chemistry's fundamental principles and concepts, including atomic structure, chemical bonding, and reaction mechanisms. Acquire specialised knowledge in water chemistry, including water quality analysis, environmental impact assessment, and treatment processes. Gain an in-depth understanding of the biochemical processes in living organisms, including the structure and function of biomolecules, enzymatic reactions, and metabolic pathways. Develop practical laboratory skills, including experimental design, data analysis, and advanced analytical techniques. Enhance critical thinking and problem-solving skills, enabling you to analyse complex chemical and biochemical phenomena and propose solutions. Apply ethical and safety considerations in chemical and biochemical research and practice. The Diploma in Basic Chemistry provides a solid foundation in the fundamental principles of chemistry. From the microscopic world of atoms and molecules to the macroscopic behaviour of matter, you will embark on a journey to understand the universe's building blocks. You will develop a deep understanding of chemical reactions, stoichiometry, and the periodic table through engaging theoretical concepts and hands-on laboratory experiments. The Diploma in Water Chemistry delves into the intriguing realm of water and its interactions with chemical substances. You will explore the unique properties of water, its importance in environmental systems, and the challenges faced in maintaining water quality. Dive into the study of water treatment methods, water analysis techniques, and the impact of pollutants on aquatic ecosystems. The Biochemistry course unravels the intricate biochemical processes that underpin life itself. From the structure and function of biomolecules to the mechanisms of enzyme reactions and cellular metabolism, you will delve into the molecular mechanisms that drive biological systems. This course will give you a deep appreciation for the interconnectedness of chemical processes within living organisms. You will explore the role of biochemistry in fields such as medicine, biotechnology, and pharmaceuticals, paving the way for exciting career opportunities in cutting-edge scientific research and innovation. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is perfect for: Students aspiring to pursue a career in the chemistry field. Professionals are seeking to enhance their knowledge and skills in these fields. Graduates who wish to broaden their understanding and practical expertise in chemistry and its applications. Environmental scientists and engineers are interested in water quality assessment and environmental impact assessment. Healthcare professionals want to deepen their understanding of biochemistry and its relevance to medical practice. Requirements Without any formal requirements, you can delightfully enrol in this course. Career path Our course will prepare you for a range of careers, including: Analytical Chemist: £20,000 - £40,000 per year Water Quality Analyst: £25,000 - £35,000 per year Environmental Consultant: £25,000 - £45,000 per year Pharmaceutical Research Scientist: £30,000 - £50,000 per year Biochemist: £25,000 - £45,000 per year Laboratory Technician: £18,000 - £30,000 per year Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - £9.99 Certificate Of Completion Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates! Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for Diploma in Basic Chemistry absolutely free! Upon finishing the Diploma in Water Chemistry and Biochemistry, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!