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Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
Approx. 21 hours to complete
By just putting in a few hours a week for the next few weeks, this is what you’ll get. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course. Python for Machine Learning OPTIONAL: Signing-up for a Watson Studio Account...
IBM AI Engineering Professional Certificate
- 0.0
To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses....
Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
Approx. 27 hours to complete
Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML. We’ll continuously use a real-life example from IoT (Internet of Things), for exemplifying the different algorithms. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. Bayesian inference in Python...
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
Approx. 22 hours to complete
This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. Python for conditional probabilities Generating and visualizing continuous random variables with Python Generating correlated random variables with Python...
Python & Introduction to Data Science
by AI 4 MY- 4.3
9 hours on-demand video
Learn the basics of Python and the most important Data Science libraries with this step by step guide! Python is the most important language in the field of data, and its libraries for analysis and modeling are the most relevant tools to use. Clear and simplified language, suitable for everyone Variables and conversions in Python...
$12.99
Python For Beginners: Learn Python With Hands-On Examples
by Muharrem AYDIN- 4.1
6.5 hours on-demand video
Welcome to my "Python For Beginners: Learn Python With Hands-On Examples" course. My "Python For Beginners: Learn Python With Hands-On Examples! is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher)....
$13.99
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
Approx. 18 hours to complete
It is targeted to scientists, engineers, scholars, really everyone seeking to develop the software skills necessary for work in parallel software environments. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. High-Performance Computing (HPC) for Non-Computer Scientists...
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Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
Approx. 20 hours to complete
Apache Spark is the de-facto standard for large scale data processing. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. • Identify useful techniques for working with big data such as dimension reduction and feature selection methods For successful completion of the course, the following prerequisites are recommended:...
Smart Materials: Microscale and Macroscale Approaches
by Yury Galyametdinov , Fedor Senatov , Artem Bezrukov- 4.9
Approx. 17 hours to complete
An online course in smart materials will be of obvious interest for everyone who is interested in modern materials science and emerging trends in engineering, biotechnology, and medicine. We expect that this course will be interesting for a broad audience that is keen to learn more about how smart materials contribute to well-established and emerging technologies....
IBM Data Science Professional Certificate
- 0.0
Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater....