10381 Art courses

Lloyds School of Motoring provides lorry training in our privately owned fleet of vehicles across all categories.

Learn the basics of Data Science, combining a supported #CISCO Skills for All online course with practical learning and a project to help consolidate the learning.

Learn the skills and mindset to become a business partner, align your expertise with the organisational goals, drive growth, and shape the future of your company. Course overview Duration: 1 day (6.5 hours) This is a highly interactive and practical course which will help you to understand the role of Business Partnering and the key skills needed to be successful in the role. The course is designed specifically to give you an opportunity to explore the role and test a range of techniques to improve your strategic working as well as your influencing and relationship building skills. This course is aimed at individuals who work cross-functionally and with other people to achieve business results and is particularly helpful for those who engage frequently with senior managers and executives. Objectives  By the end of the course you will be able to: Describe the role of Business Partner and the benefit to the business Develop stronger engagement with all internal and external stakeholders Influence without authority Build positive relationships Handle robust conversations Be forward thinking, not reactive Act as a change agent Communicate with confidence and credibility Content Understanding the role of the Business Partner What is Business Partnering from an individual, departmental and business view Using a psychometric test to look at where your strengths are and how you can use them effectively in the role Developing Relationships Creating a powerful first impression. Communication skills Understanding different communication styles Being more proactive in developing key relationships Stakeholder engagement Presenting ideas in a confident and articulate way Understanding and developing trust Connecting with people Networking Influencing and Negotiating Influencing and persuading others Dealing with conflict and difficult conversations Becoming a trusted advisor/Business Partner Advanced questioning skills and techniques to get to the root of a problem Strategic Thinking Develop the mind-set and strategic capability to play a more proactive leading role in the business

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

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 introduce the BOOK & basic ideas behind Understanding & Dealing with Everyday Racism The Six Stages Framework

Friday 26th April, 3pm, Muirhead Tower, University of Birmingham, Arts Building – LR6, Room 222 The Department of Public Administration and Policy and CEDAR are delighted to host a public seminar on The Politics of Becoming: Anonymity and Democracy in the Digital Age by Hans Asenbaum   Oxford University Press   When we participate in political debate or protests, we are judged by how we look, which clothes we wear, by our skin colour, gender and body language. This results in exclusions and limits our freedom of expression. The Politics of Becoming explores radical democratic acts of disidentification to counter this problem. Anonymity in masked protest, graffiti, and online debate interrupts our everyday identities. This allows us to live our multiple selves. In the digital age, anonymity becomes an inherent part of everyday communication. Through our smart devices we express our selves differently. As cyborgs our identities are disrupted and reassembled. We curate self-representations on social media, create avatars, share selfies and choose the skin colour of our emojis.   The Politics of Becoming encourages us to engage in a revolution of the self. Democratic pluralism is not only a matter of institutional design but also about how we express our identities. Inner revolutions change our personal realities and plant a seed for democratic futures.   Hans Asenbaum is a Senior Research Fellow at the Centre for Deliberative Democracy and Global Governance at the University of Canberra. His research interests include radical democracy, queer and gender studies, digital politics, and participatory research methods. In 2022 he received the ECPR Rising Star Award. Hans is the author of The Politics of Becoming: Anonymity and Democracy in the Digital Age (Oxford University Press, 2023) and co-editor of Research Methods in Deliberative Democracy (with Ercan, Curato and Mendonça, Oxford University Press, 2022). His work has been published in the American Political Science Review, New Media & Society, Politics & Gender, and the International Journal of Qualitative Methods. Friday 26th April, 3pm, Arts Building – LR6, Room 222, University of Birmingham Edgbaston Birmingham B15 2TT

Discover how grammar checker tools are transforming writing with advanced AI, enhancing quality, and saving time for students, professionals, and content creators.

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

"Join our free bodyweight workshop and learn effective exercises to improve your strength and flexibility without any equipment. Suitable for all fitness levels, this workshop is led by experienced trainers and offers a fun and challenging workout experience. Don't miss out on this opportunity to enhance your fitness journey!"