Machine Learning

Introductory price for limited time period

In today’s world, the ubiquitous influence of machine learning is being felt everywhere. With or without our knowledge of machine learning technologies are assisting or influencing our lifestyle. You are surrounded by machine learning everywhere, from ‘Alexa,’ ‘Siri,’ and ‘Google Assistant’ to Autonomous Vehicles. You see a large amount of data everywhere. Therefore, it is vital to analyze this data to extract useful information and develop an algorithm based on this analysis. This can be achieved through machine learning. Machine learning is an integral part of artificial intelligence, which designs algorithms based on data trends and historical relationships between data. Machine learning is used in various fields such as bioinformatics, intrusion detection, information retrieval, game playing, marketing, malware detection, image deconvolution, etc.

What is the objective of this course?
Machine learning has been recognized as central to the success of Artificial Intelligence, and it has applications in various areas of science, engineering, and society. The main objective is to develop systems (programs) for specific practical learning tasks in application domains. This course helps to analyze new learning methods and develop general learning algorithms independent of applications. Machine Learning has become achievable in many essential applications because of the recent progress in learning algorithms and theory, the rapid increase of computational power, the excellent availability of a massive amount of data, and interest in commercial ML application evolution. ML is naturally a multi-disciplinary subject area. It unlocks opportunities to develop cutting-edge machine learning applications in various verticals – such as cyber security, image recognition, medicine, or face recognition.

What Will You Learn?

  • To get introduced to programming and libraries used in machine learning
  • To explore regularization, and support vector machine
  • To analyze NLP, recommender system, and neural networks
  • To understand image analysis with CNN
  • To understand the fundamentals of unsupervised learning and dimension reduction
  • To learn python programming using NumPy, Pandas, Scikit-learn, and Matplotlib
  • To well versed with the basics of anomalies and anomaly detection, sentence segmentation, tokenization, stemming and lemmatization
  • To explore Neural Networks, Artificial Neural Networks (ANN), and Convolutional Neural Networks (CNN)
  • This course helps you analyze K-Means clustering, hierarchical clustering, and density based clustering
  • The course presents statistics in machine learning
  • This course helps you analyze the present scenario in the world of machine learning

If you purchased a course directly through the platform as a retail user, a receipt for your order will be sent directly to the e-mail address you registered with.

If you received a token to enroll into a course through your organization/college, please contact your college for receipt details. No individual receipts are provided for such purchases

You will receive a token number (via e-mail for direct purchase on the platform or through your college/institutions IEEE-BLP program coordinator). Enter the token number on your dashboard on the IEEE BLP platform (after signing in at blended-learning.ieee.org ). You will be successfully enrolled to the course once the platform accepts the token as valid. Click on the Play button for the course on the dashboard to launch the e-Learning program or to perform other activities associated with the course. If you have trouble enrolling for courses, please send an e-mail to support-blp@ieee.org.

E-Learning access: Three months from the time you enter a valid token number on the platform or until you complete the course session, whichever comes later. The entire program (e-Learning course, Labs (if applicable), end-of-course assessment, and exam) must be completed within 6 months of purchase.

Please send us an e-mail at support-blp@ieee.org. You may be granted extension upon the sole discretion of the IEEE BLP Program administrator under exceptional circumstances.

Please refer to the course refund policy. You can write us at support-blp@ieee.org

Navigation Guides:If you have purchased a course from us, you would have received a ‘Getting started version of the Learner Navigation Guide’ from our support team. If you did not, please contact us at support-blp@ieee.org and we will be happy to share one. Help Lecture:If you are having trouble navigating the e-Learning, please click on the ‘Help Lecture’ (represented by a question mark symbol) present on every e-Learning slide.

Please double check to make sure that you have entered the correct token number. If you received the token number from your college/university administrator, please contact them to ensure that the same token number has not been shared with someone else previously. If you purchased the course directly on the platform, please send an e-mail request to support-blp@ieee.org for further help.

After purchasing the course you must activate it before using it. Your learner dashboard shows all the courses you are enrolled for. If you have enrolled for more than two courses, sign-in with your credentials and click on the arrow symbol to browse through all your courses.

The e-Learning part of the IEEE Blended Learning Program is specifically designed to be an interactive online course accessed through a web-browser interface. You would need access to a computer with appropriate configuration, an Internet connection, and appropriately configured audio. System requirements are provided in the program details page.

If you were in the middle of the assessment section, you will be asked to begin assessment again. Only the first, fully completed assessment results will be stored in the system for future retrieval.

When you resume e-Learning, you will have an option to begin from where you last left off. However, you will have to sign-in and re-launch the specific e-Learning course.

Please make sure that the audio on your computer is configured properly, has Internet connectivity, and other system requirements are met. If you are still facing an issue after checking your computers audio configuration, please send e-mail to support-blp@ieee.org.

You can control the audio playback in several ways. First, you can pause and resume the audio playback using audio controls available on the screen. You can also play audio from specific places within the page. Each page also includes a transcript of the audio to allow you to follow the audio more easily.

Please send e-mail describing, in detail, the issues you are facing along with your system details to support-blp@ieee.org. Please include the following information: Your system configuration (OS with version, RAM etc.) Browser and its version Nature of the issues including any screenshots

The Course Feedback link will be enabled only after 100% of both e-Learning and the lab sessions are completed. Please feel free to send specific feedback to feedback-blp@ieee.org

It is mandatory to complete the program 100% to get the certificate. (Not applicable for IEEE CertifAIEd, AI Ethics for System Design, and Responsible Procurement of AI.

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Original price was: ¥12,006.55.Current price is: ¥6,781.66.

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