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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-and-ai-with-hands-on-projects/
课程评论：没有评论
课程名称：学习机器学习与人工智能【从初学者到高级内容】 课程概述：您是否感到在学习人工智能和机器学习的材料时有些不知所措？本课程将通过一些有趣的项目，帮助您从零开始实施机器学习和人工智能的实践。第一个项目是一个用于对象识别的Web应用程序，您将学习如何部署一个简单的机器学习应用。第二个项目是狗品种预测，您将会构建和优化一个模型，用于在120种犬类中预测狗的品种，这个项目使用深度学习库来实现。最后，信用卡欺诈检测是金融行业中常用的应用之一，我们将讨论其开发与部署过程。每个项目都将帮助您获得实践经验。 课程讲师：讲师是专业培训师及咨询师，精通C、C++、Python、Java、Scala、以及大数据技术（PySpark，Scala中的Spark）、机器学习与深度学习（如scikit-learn、TensorFlow、TFLearn、Keras、h2o等），并曾在多家知名企业（如GE、IBM、JP Morgan等）授课，带您全面理解机器学习的整体方法。 选择学习机器学习的理由： 1) 未来技能：机器学习是未来的技能，尽管这一领域快速增长，但仍面临技能短缺。 2) 解决实际挑战：作为机器学习工程师，您将面对真实的业务挑战，并开发具有深远影响的解决方案。 3) 学习与成长：进入这个快速发展的领域，您将能及时掌握趋势，提升自身在市场中的价值。 4) 职业发展潜力：机器学习仍处于早期阶段，随着技术的成熟，您将拥有不断上升的职业曲线。 5) 建立高薪职业：机器学习工程师的平均薪资非常可观，随着行业的增长，这一数字预计将进一步上升。 6) 渐入数据科学：掌握机器学习技能可同时拓展您在数据科学领域的职业发展，增加就业市场中的竞争力。 机器学习正在发生，早早进入这一领域，您将能接触到各种相关解决方案和技术，从而在未来技能需求增加时，拥有更好的职业发展机会。 实践学习：基于项目的学习方法已被证明是最有效的学生参与方式之一，能够为学生提供实践应用的机会，同时培养问题解决能力、批判性思维和时间管理能力。 通过跟随本课程，您将深入理解机器学习的概念，并了解人工智能，以提升您成为成功机器学习工程师的技能。快来注册吧，我们在课堂见！祝您学习愉快！ 团队Edyoda
Do you feel overwhelmed going through all the AI and Machine learning study materials? These Machine learning and AI projects will get you started with the implementation of a few very interesting projects from scratch. The first one, a Web application for Object Identification will teach you to deploy a simple machine learning application. The second one, Dog Breed Prediction will help you building & optimizing a model for dog breed prediction among 120 breeds of dogs. This is built using Deep Learning libraries. Lastly, Credit Card Fraud detection is one of the most commonly used applications in the Finance Industry. We talk about it from development to deployment. Each of these projects will help you to learn practically.Who's teaching you in this course?I am Professional Trainer and consultant for Languages C, C++, Python, Java, Scala, Big Data Technologies - PySpark, Spark using Scala Machine Learning & Deep Learning- sci-kit-learn, TensorFlow, TFLearn, Keras, h2o and delivered at corporates like GE, SCIO Health Analytics, Impetus, IBM Bangalore & Hyderabad, Redbus, Schnider, JP Morgan - Singapore & HongKong, CISCO, Flipkart, MindTree, DataGenic, CTS - Chennai, HappiestMinds, Mphasis, Hexaware, Kabbage. I have shared my knowledge that will guide you to understand the holistic approach towards ML.Here are a few reasons for you to pursue a career in Machine Learning:1) Machine learning is a skill of the future - Despite the exponential growth in Machine Learning, the field faces skill shortage. If you can meet the demands of large companies by gaining expertise in Machine Learning, you will have a secure career in a technology that is on the rise.2) Work on real challenges - Businesses in this digital age face a lot of issues that Machine learning promises to solve. As a Machine Learning Engineer, you will work on real-life challenges and develop solutions that have a deep impact on how businesses and people thrive. Needless to say, a job that allows you to work and solve real-world struggles gives high satisfaction.3) Learn and grow - Since Machine Learning is on the boom, by entering into the field early on, you can witness trends firsthand and keep on increasing your relevance in the marketplace, thus augmenting your value to your employer.4) An exponential career graph - All said and done, Machine learning is still in its nascent stage. And as the technology matures and advances, you will have the experience and expertise to follow an upward career graph and approach your ideal employers.5) Build a lucrative career- The average salary of a Machine Learning engineer is one of the top reasons why Machine Learning seems a lucrative career to a lot of us. Since the industry is on the rise, this figure can be expected to grow further as the years pass by.6) Side-step into data science - Machine learning skills help you expand avenues in your career. Machine Learning skills can endow you with two hats- the other of a data scientist. Become a hot resource by gaining expertise in both fields simultaneously and embark on an exciting journey filled with challenges, opportunities, and knowledge.Machine learning is happening right now. So, you want to have an early bird advantage of toying with solutions and technologies that support it. This way, when the time comes, you will find your skills in much higher demand and will be able to secure a career path that's always on the rise.Practical Learning!!Project-based learning has proven to be one of the most effective ways to engage students and provide a practical application for what they're learning and it provides opportunities for students to collaborate or drive their learning, but it also teaches them skills such as problem-solving and helps to develop additional skills integral to their future, such as critical thinking and time managementBy pursuing this course you will able to understand the concept of Machine learning at the next level you will also get to know about Artificial intelligence and that will boost your skill set to be a successful ML engineer.Enroll now, see you in class!!Happy learning!Team Edyoda
