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Text Retrieval and Search Engines
by ChengXiang Zhai- 4.5
Approx. 31 hours to complete
Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text....
Docker Containers for Data Science and Reproducible Research
by Vladimir Zhbanko- 4.3
7 hours on-demand video
This course is designed to jump-start using Docker Containers for Data Science and Reproducible Research by reproducing several practical examples. This course will provide several use cases on using Docker Containers for Data Science: Preparing your computer for using Docker Just Start using Docker Containers with your Data Science tools by reproducing this course!...
$12.99
Introduction to Data Analytics
by Rav Ahuja- 4.8
Approx. 11 hours to complete
This course does not require any prior data analysis, spreadsheet, or computer science experience. All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox. Languages for Data Professionals Identifying Data for Analysis Tools for Data Wrangling...
Full Introduction to Programming Course
by Ricky Wahowa- 3.8
6.5 hours on-demand video
You will notice that I created this course with non- Computer Science students in mind. This intro to programming is intended for those who want to learn basic programming concepts. I've added a new section for you to learn Kotlin as a beginner....
$12.99
The Full Stack Developer Bootcamp
by Code Base Academy- 3.8
9 hours on-demand video
We want you to have up to date skills and a portfolio of projects to show for it. Plus we cover Computer Science areas such as algorithms and Data Structures that will help you pass code interviews. And we are working hard to make it the best course you can find for Full Stack JavaScript Development....
$11.99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more....
Learn Basics of Programming with AdamaScript Block Program
by Mahadi Hasan Meem- 0.0
3.5 hours on-demand video
The games are handpicked to optimize learning computer science topics while having fun along the way. This course is designed for...
$12.99
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Digital Signal Processing 2: Filtering
by Paolo Prandoni , Martin Vetterli- 4.7
Approx. 18 hours to complete
By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. Homework for Module 2. Homework for Module 2....
Digital Signal Processing 4: Applications
by Paolo Prandoni , Martin Vetterli- 0.0
Approx. 14 hours to complete
By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. b Classic Filters for Images Homework for Module 4. a The success factors for digital communications Homework for Module 4....
Digital Signal Processing 3: Analog vs Digital
by Paolo Prandoni , Martin Vetterli- 4.8
Approx. 16 hours to complete
By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. Homework for Module 3. Homework for Module 3. Practice homework for Module 3. Homework for Module 3....