Search result for Types of unsupervised learning Online Courses & Certifications
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Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. Fundamentals of Data Manipulation with Python 50 years of Data Science, David Donoho (Optional)...
DDoS Attacks and Defenses
by Edward Chow- 4.5
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Approx. 15 hours to complete
In this MOOC, you will learn the history of DDoS attacks and analyze new Mirai IoT Malware and perform source code analysis. you will be provided with a brief overview of DDoS Defense techniques. History of DDoS History of DDoS: from digital civil disobedience to online censorship 1 History of DDoS Attacks...
Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. Supervised Learning Short History of ML: Linear Regression Short History of ML: Perceptron...
Big Data Emerging Technologies
by Jong-Moon Chung- 4.7
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Approx. 30 hours to complete
This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies....
Building Web Applications in PHP
by Charles Russell Severance- 4.7
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Approx. 31 hours to complete
In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the basic syntax and data structures of the PHP language, variables, logic, iteration, arrays, error handling, and superglobal variables, among other elements....
Mastering Data Science and Machine Learning Fundamentals
by AI Sciences- 4.2
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2 hours on-demand video
The course is structured to start with the basics, and then to gradually develop an understanding of the array of machine learning and data science algorithms. The course not only guides you through the problems and concepts of machine learning but also elaborates on how to implement those concepts successfully. Basics of Machine Learning Unsupervised Learning...
$9.99
Sequence Models
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.8
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Approx. 36 hours to complete
In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. Different Types of RNNs Properties of Word Embeddings Learning Word Embeddings...
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Customising your models with TensorFlow 2
by Dr Kevin Webster- 4.8
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Approx. 27 hours to complete
In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will also expand your knowledge of the TensorFlow APIs to include sequence models. [Knowledge check] Transfer learning...
Functional Programming Principles in Scala
by Martin Odersky- 4.8
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Approx. 45 hours to complete
This trend is driven by the adoption of Scala as the main programming language for many applications. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. 2 - Elements of Programming SBT tutorial and Submission of Assignments (Please read) Learning Resources Learning check-in Understand the principles of functional programming...
Functional Programming Principles in Scala
by Martin Odersky- 4.8
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Approx. 41 hours to complete
This trend is driven by the adoption of Scala as the main programming language for many applications. Recommended background: You should have at least one year of programming experience. 2 - Elements of Programming SBT tutorial and Submission of Assignments (Please read) Learning Resources Learning check-in Understand the principles of functional programming...
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