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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.

These events are designed to introduce the BOOK & basic ideas behind Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to work on the ideas introduced in Level 1: Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to work on the ideas introduced in Level 1: Understanding & Dealing with Everyday Racism The Six Stages Framework

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Does your voice abandon you when you present? Do you find you become much less articulate and much less yourself when you are under the spotlight? Have you experienced brain freeze where you "umm" all the way through your presentation? Maybe you blush or your voice wavers. Presenting is a big source of pain for many of us. I've been there. For years, I hated presenting. I went all weird under the spot light and the best I could hope for was just to grit my teeth, force myself to do it and hope for the best. Mostly it was okay, pretty good, a couple of times it was downright traumatic! But sadly, because of my intense dislike of presenting I never felt that i did myself justice. What if I told you that I now relish the opportunity to express myself and my thinking? The bigger the audience, the better! I've done a complete 180 turnaround on giving presentations and I've been reflecting on why. In my next masterclass, I breakdown my 5 top insights that have transformed the way I think about giving presentations. And when you feel good about doing something, your performance improves dramatically.  Whether it's presenting to real people in a real room, or presenting in your living room to a ton of people with their cameras off, my top tips and tools will help you find your natural and confident voice so that you can do yourself justice and maybe even start to enjoy the opportunity.

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The Fintech Frontier: Why FDs Need to Know About Fintech,” the podcast where we delve into the world of financial technology There are numerous areas where fintech can make a significant impact. For example, payment processing and reconciliation can be streamlined through digital payment solutions and automated tools. Data analytics and artificial intelligence can enhance financial forecasting, risk management, and fraud detection. Blockchain technology can revolutionize supply chain finance and streamline processes involving multiple parties. By understanding the capabilities of these fintech solutions, FDs can identify areas for improvement and select the right technologies to optimise their financial operations. Additionally, fintech can greatly enhance financial reporting and analysis. Advanced data analytics tools can extract meaningful insights from vast amounts of financial data, enabling FDs to make data-driven decisions and identify trends and patterns. Automation of repetitive tasks, such as data entry and reconciliation, reduces the risk of errors and frees up valuable time for FDs to focus on strategic initiatives. The adoption of cloud-based financial management systems also provides flexibility, scalability, and real-time access to financial data, empowering FDs to make informed decisions on the go. With the rapid pace of fintech advancements, how can FDs stay up to date and navigate the evolving fintech landscape? Continuous learning and engagement with the fintech community are key. Attend industry conferences, participate in webinars and workshops, and engage with fintech startups and established players. Networking with professionals in the field, joining fintech-focused associations, and following relevant publications and blogs can help FDs stay abreast of the latest fintech developments. Embracing a mindset of curiosity and adaptability is crucial in navigating the ever-changing fintech landscape. I would also encourage FDs to foster partnerships and collaborations with fintech companies. Engage in conversations with fintech providers to understand their solutions and explore potential synergies. By forging strategic partnerships, FDs can gain access to cutting-edge technologies and co-create innovative solutions tailored to their organisation’s unique needs. As we conclude, do you have any final thoughts or advice for our FD audience regarding fintech? Embrace fintech as an opportunity, not a threat. Seek to understand its potential and how it can align with your organisation’s goals and strategies. Be open to experimentation and pilot projects to test the viability of fintech solutions. Remember that fintech is a tool to enhance and optimize financial processes, and as FDs, we have a crucial role in driving its effective implementation. https://www.fdcapital.co.uk/podcast/the-fintech-frontier-why-fds-need-to-know-about-fintech/ Tags Online Events Things To Do Online Online Conferences Online Business Conferences #event #fintech #knowledge #fds #frontier

Do you hear yourself saying the same thing over and over again? Do you want to bring some new skills to your role? If you have been in a sales role for some time it is easy to fall into a comfortable pattern. This workshop will help you incorporate advanced techniques drawn from NLP, behavioural science and social psychology into your existing skills. This course will help you: Use the consultative sales process to achieve more cross-sales Employ advanced rapport-building skills Assess the buying preferences of a customer Articulate the link between customer goals and needs Identify your customer's needs and wants Use advanced questioning techniques to gather information Resist the temptation to tell when it would be better to ask Identify communication preferences Given various scenarios, present a product to the explicit need of a customer Appreciate the impact of the language used during this stage of the sale and decide what language is appropriate with a variety of customers Handle objections positively Close the sale or gain commitment to further action 1 Introduction Aims and objectives of the training Personal introductions and objectives Self-assessment of existing sales skills Overview of content 2 Understanding yourself and your customers Personal communication style and what this means in a sales situation Wants versus needs What motivates people to buy Using social media tools such as LinkedIn Managing your portfolio to maximise sales Preparing to sell 3 The sales process Overview of the consultative sales process Review personal strengths and weaknesses as a salesperson Habits of top-performing sales people Common pitfalls Articulate sales goals 4 Building rapport 11 decisions that customers make in the first 9 seconds Spotting buyer communication preferences Building rapport with a wide variety of customers Dealing with emotions Keeping control 5 Questioning and listening Assumptions and how they trip us up Structured questioning Looking for cross-sales Honing your listening skills Identifying buyers' motivation Using summaries to move the customer forward 6 Presenting products and services to customers Choosing the right time to present Using features, advantages and benefits Tailoring your presentation of products and services to match buyer preferences and motivations 7 Gaining commitment When to close Dealing with difficult customers 5 things to avoid when handling a customer objection 8 Managing your business The link between service and sales Using customer surveys Winning back lost business 9 Putting it all together Skills practice Personal learning summary and action plans

Developing the high performing team takes time and effort. But above all, it requires an understanding of the dynamics of high performing teams. This programme helps managers and leaders understand what high performing teams do and how they do it. It focuses on enabling managers to see their teams from different perspectives, allowing them to adapt their styles to maximise team outputs. A core theme is the need for managers of teams to 'hold up the mirror' to themselves and to see themselves as a leader of people, to reflect on how others see them and to modify their style accordingly. This programme will help managers / team leaders: Analyse the constituents of a 'high performing' team Apply essential influencing techniques Use a range of communication techniques to support effective teamwork Create and articulate team vision Generate common values Assess team effectiveness and take/recommend the appropriate actions Make more efficient use of team time Understand and agree on techniques to manage conflict Define and implement team meeting protocols that will facilitate team effectiveness Use the Prime Focus model to create the environment and framework for a high performing team Draft your team strategy to take them to the next level Day 1 1 Welcome and introduction Participants are welcomed to the programme and invited to share their personal objectives and people challenges Participants are given an action plan template to complete throughout the workshop 2 Your team The concept of 'positive intention' The difference between a team and a high performing team Assess your team effectiveness What is your 'interference'? 3 The team environment Setting the scene Building rapport Active listening Team goals and role profiling 4 Your style Tuckman model of team stages - how do you manage each stage? Team standards and goals Your team vision 5 Effective team meetings Influencing in team meetings How to make them interesting and relevant The pure role of the chair Day 2 1 Effective communication techniques Giving and receiving feedback Your communication style How to adapt, pace and lead to build rapport The Mehrabian theory of communication 2 How to manage conflict What is conflict? What is your default conflict approach? Tools and tips for managing conflict Practice sessions 3 Team skills Undertake a team skills analysis Types of team member Motivating team members Reframing situations 4 Setting your strategy Seeing the bigger picture The Prime Focus Model Your strategy for success Articulating your strategy Action plans revisited