Coursera Machine Learning Promotion
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Learn Machine Learning from Adjunct Professor, Stanford University. Get special discount on coursera Machine Learning tutorial with E Certificate.
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Submitted: 3 years ago
Coursera Python Programming Course Promotion
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Submitted: 3 years ago
Machine Learning + Certification
Learn Machine Learning Stanford University Professor and earn certification to full proof your career.
About Coursera Machine Learning Course
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas. Less
Deal Activated, no coupon code required!
Learn Machine Learning Stanford University Professor and earn certification to full proof your career.
About Coursera Machine Learning Course
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Expires: No Expires
Submitted: 3 years ago
Java Programming : Basic to Advance, Algorithms, OOPs, Data Structure
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Coursera java core to advance topics to learn from top universities and professors.
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Submitted: 2 years ago
Coursera Free 7 Day Trial on all Courses
This coursera promotion lets you try a Specialization for free for 7 days. On the 8th day, your free trial will automatically become a paid subscription unless you cancel your free trial. Free Trials let you see and complete all course content, so you can start a course as soon as your free trial begins. Less
Deal Activated, no coupon code required!
This coursera promotion lets you try a Specialization for free for 7 days. On the 8th day, your free trial will automatically become a paid subscription unless you cancel your free trial. Free Trials let you see and complete all course content, so you can start a course as soon as your free trial begins.
Expires: No Expires
Submitted: 2 years ago
Know Thyself – The Value and Limits of Self-Knowledge: The Examined Life
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Submitted: 2 years ago
Learn Machine Learning From Andrew Ng
Learn Machine Learning From Andrew Ng who is CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain. This coursera machine learning is provided by stanford.
Key feature of Machine Learning Stanford Coursera Course
- Consistent 4.9 rating from more than 23,558 reviewer
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Deal Activated, no coupon code required!
Learn Machine Learning From Andrew Ng who is CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain. This coursera machine learning is provided by stanford.
Key feature of Machine Learning Stanford Coursera Course
- Consistent 4.9 rating from more than 23,558 reviewer
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- assignment and quizzes
Expires: No Expires
Submitted: 2 years ago
Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)
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Submitted: 2 years ago
Quantitative Finance Model Course – Easy to Learn with Example
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Submitted: 2 years ago
Learn Indian Business School (ISB) Courses at Coursera
Get coursera isb courses to learn business ideas. Some coursera ISB courses includes following topics.
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Get coursera isb courses to learn business ideas. Some coursera ISB courses includes following topics.
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Submitted: 2 years ago
Get Logistic Regression Explained along with Quiz
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Submitted: 2 years ago
Get Coursera Object oriented Programming Courses
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Submitted: 2 years ago
Learn Machine Learning, Neural Network from Geoffrey Hinton
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Geoffrey Hinton is professor from University of Toronto who help students to learn neural network & machine learning. geoffrey hinton coursera machine learning course is one of well know module to learn ML.
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Submitted: 2 years ago
Android App Development Specialization Using Xamarin
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Submitted: 2 years ago
Coursera Data Structures and Algorithms Specialization
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Submitted: 2 years ago
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About Coursera
Like Udemy & Edureka, Coursera is an online learning platform own and started by Andrew Ng & Daphne Koller that offers specialization courses around the latest technology including Machine Learning, Google Cloud, Artificial Intelligence, math and data science.
You should enroll in selected subject at coursera.org to gain necessary to advance knowledge on particular topics from professors of top universities and B Schools to earn your specialization.
You will find many of courses in coursera which is thought by professors from Stanford University, India School of Business (ISB), University of Michigan, Yele University, etc.
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There is a number of an online discussion forum is claiming that Coursera is no longer free, but our deal hunters have identified that free courses are still available on its platform and there are more than 2240 top free courses are always available to learn latest technologies including Python, Deep Learning, etc.
You will not have access to online assignments and quizzes if you enroll for free classes. However, we suggest you to start purchasing full courses because it’s an excellent idea to test your knowledge around topic once you finish your studies and you can use your our exclusive coursera promo and promotional discount offers.
Claim your promotional offer to start your Coursera free trials
Our special offers to get 100% off on all video material which includes risk-free seven-day full access to every course. By claiming coursera trial for free, you will get exclusive access to all paid study material along with following features.
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Apply for Coursera financial aid
Although you can use coursera discount number to buy cheap online video courses, and still, you are unable to purchase anything at coursera due to the financial problem, then you can apply for financial aid at coursera. Coursera financial aid is another grand gesture from coursera.org to help poor and students who cannot afford to pay monthly recurring charges. If you are a student, then you have higher chances to get your financial aid approved which is subjected to further verification. Why are you applying for financial aid? The answer to this question is critical to understand your application approved, and if you failed to provide a valid business justification, then you might see financial aid rejected.
To apply for Coursera Financial Aid:
- Open the course page for which you would like to apply for financial aid.
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- Fill out and submit your Financial Aid application with more than 150 words.
- Wait for your application to be reviewed which will take up to 15 days.
- If your financial aid application gets approved, then you’ll get an email letting you know whether it’s been approved or denied.
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Earn Valid Coursera certificates which are worthy in Market
There are many best coursera courses are still available for free, but you have to pay to earn an online degree and specialization certification from accredited universities like HEC Paris, Arizona State University, University of Illinois.
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Coursera courses can be downloaded in computer and using coursera app too. As soon as you subscribe to any class, you can download lecture videos to watch it offline without any internet connection.
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