Description
Are you ready to take your data skills to the next level? Join us for a comprehensive exploration of the exciting world of data mining and machine learning. This course is designed to provide you with the knowledge and skills you need to unlock the value of big data and gain a competitive edge in today's data-driven world. You will learn about supervised and unsupervised learning techniques, deep learning, and more. Our expert instructors will guide you through hands-on exercises and real-world projects that will help you build a strong foundation in these cutting-edge technologies. Whether you're a college student looking to start a career in data science, a data analyst seeking to advance your skills, or a business professional seeking to leverage the power of machine learning, this course is for you. With comprehensive chapters on Python programming, Java programming, web development, and algorithms, this course is designed to meet the needs of a diverse range of learners, including those without prior programming experience. Enroll now and take your data skills to the next level with our Data Mining and Machine Learning course! The proliferation of machine learning and artificial intelligence (AI) has transformed the way companies, such as Google, Amazon, YouTube, and Udemy, extract insights and meaning from massive data sets. The Academy of Computing & Artificial Intelligence presents the Professional Certificate in Data Mining & Machine Learning to equip individuals with the necessary knowledge to understand these processes. This comprehensive masterclass covers all aspects of machine learning, with no prior coding experience required. The course is led by a team of experts, including PhDs, PhD candidates, senior lecturers, consultants, researchers, and industry professionals, who were part of a discussion on the most in-demand IT, computer science, engineering, and data science jobs and skills in 2023. The course features interactive elements, including live code demonstrations and step-by-step guidance, to ensure a hands-on learning experience. Additionally, a clear explanation of each concept and principle is provided through guided tutorials. It's important to note that AI is the broader science of mimicking human abilities, while machine learning is a subset of AI that trains machines to learn. The Data Mining and Machine Learning course is the perfect solution for anyone looking to complete a research project with confidence. With step-by-step guidance and real-life examples, this comprehensive course covers everything from A to Z. You will learn the latest techniques in data pre-processing, data visualization, artificial neural networks, deep learning, and more. Plus, our expert instructors will provide you with the necessary tools to set up your environment for Python Machine Learning, understand data with statistics, and develop your own deep learning project. Whether you're a student, data analyst, or professional seeking to level up in the field, this course has everything you need to succeed. So why wait? Start your journey to becoming a data mining and machine learning expert today! Course Learning OutcomesThe objective of this course is to impart a comprehensive understanding of supervised and unsupervised learning within the field of machine learning. Additionally, the course aims to educate learners on the proper utilization of machine learning techniques. The program will enable participants to construct appropriate neural models using state-of-the-art Python frameworks and to build neural models from scratch, following detailed instructions. The course also seeks to equip learners with the ability to develop end-to-end solutions to address real-world problems, as well as to critically evaluate and select the most suitable machine learning solutions. It should be noted that this course includes instruction in Python programming. RequirementsA computer with internet connectionPassion & commitment Unlock the Power of Machine Learning with Our Comprehensive CourseAre you ready to delve into the exciting world of machine learning? Our comprehensive course covers everything from setting up the environment for Python machine learning to deep learning and beyond. At the end of this course, you will have gained a solid understanding of the following: Setting up the Environment for Python Machine LearningUnderstanding Data with Statistics and Data Pre-processingScaling, normalization, binarization, and standardization in Python, along with feature selection techniquesData visualization with Python, including bar charts, histograms, and pie chartsArtificial Neural Networks with Python and KERAS, including a step-by-step tutorial on developing an artificial neural networkDeep learning, including a project on handwritten digits recognitionNaive Bayes classifier with Python, including a lecture and demoLinear and logistic regressionIntroduction to clustering, including K-means clusteringDeep Learning Masterclass 2022, covering deep learning introduction, deep reinforcement learning, computer vision, and deep learning for human sensingWhether you're a college student, data analyst, or business professional seeking to leverage the power of machine learning, this course is for you. With step-by-step guidance and comprehensive chapters, our experienced instructors will help you build a solid foundation in these cutting-edge technologies. Enroll now and start your journey to mastering machine learning! Additionally, this course covers Java, python programming (A to Z), Web Development, Natural Language Processing, Deep Learning, Algorithms, Generative Adversarial Networks and many more. Does the course get updated?We continually update the course as well. What if you have questions?we offer full support, answering any questions you have. There's no risk! This course is designed based on a comprehensive analysis of the skill sets required in data science, data mining, and machine learning positions at major tech employers. The curriculum covers a range of machine learning, AI, and data mining techniques that are in high demand among employers. The target audience for this course includes: College or university students seeking a career in data science, data mining, or machine learningData analysts who wish to expand their knowledge in the field of machine learningIndividuals seeking to transition into a career as a data scientistBusiness professionals looking to add value to their organization through the use of powerful machine learning toolsIndividuals without prior programming experience, as the course includes comprehensive chapters on Python programming, Java programming, web development, and algorithmsReal-world projects with Source code and GuidanceReal-world Machine Learning projects are implemented and the source code is provided in this course. You will be able to complete your research project successfully. Self-supervised learning in Computer Vision [Code Included]AutoNovel: Automatically Discovering and Learning Novel Visual Categories [Code Included]Facebook AI Releases 'BlenderBot 2.0': An Open Source Chatbot [Code & Paper]Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval [Code & Paper]Image Search multilingual text2image search for 50+ languages [Code Included]Real-Time Super-Resolution System of 4K-Video Based on Deep Learning[Code, Paper]Basic classification: Classify images of clothing [Code & Guidance]Basic text classification - Code [ TensorFlow ]Audio recognition: Recognizing keywords [Code Included]TensorFlow 2 quickstart for beginners [Code Included]Introduction to Autoencoders [Code Included]Our Bestselling Machine Learning masterclass "Professional Certificate in Data Mining & Machine Learning" from the Academy of Computing and Artificial Intelligence, UK, will make you a Champion. We have provided sample Machine Learning projects with source codes which you can use in your profile and projects. The topics in this course come from an analysis of real requirements in data scientist, Machine learning engineer job listings from the biggest tech employers. Join our class for a wonderful journey of Machine Learning and a rewarding career. We continually update the course. Last Update: 8/2/2023 - Updated with latest Deep Learning series & Sections
