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Basic Recommender Systems
by Paolo Cremonesi- 3.9
Approx. 12 hours to complete
You'll learn as well how to design recommender systems tailored for new application domains, also considering surrounding social and ethical issues such as identity, privacy, and manipulation. EVALUATION OF RECOMMENDER SYSTEMS Online Evaluation Techniques Offline Evaluation Techniques Error Metrics Classification Metrics Ranking Metrics...
Multiple Regression Analysis with Excel
by Diego Fernandez- 3.9
4.5 hours on-demand video
Learning multiple regression analysis is indispensable for business data science applications in areas such as consumer analytics, finance, banking, health care, science, e-commerce and social media. It is also essential for academic careers in data science, applied statistics, economics, econometrics or quantitative finance. And it is necessary for any business forecasting research....
$11.99
Machine Learning for Accounting with Python
by Linden Lu- 0.0
Approx. 63 hours to complete
This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It also discusses model evaluation and model optimization. Accounting Data Analytics with Python is a prerequisite for this course. 1 Regressive Evaluation Metrics 2 Classification Evaluation Metrics I 3 Classification Evaluation Metrics II...
Measuring and Maximizing Impact of COVID-19 Contact Tracing
by Emily Gurley, PhD, MPH , Elizabeth C. Lee, PhD , Lucy D’Agostino McGowan , Kyra Grantz , Justin Lessler, PhD, MS- 4.5
Approx. 3 hours to complete
Students who complete the course will be proficient in using the Contact Tracing Evaluation and Strategic Support Application (ConTESSA) to estimate the impact of their contact tracing program on transmission and strategizing about how to increase their program’s impact. Introduction to performance metrics Contact Tracing Evaluation and Strategic Support Application (ConTESSA)...
Implementation and Evaluation of Educational Technology
by Eric Klopfer , Elizabeth Huttner-Loan- 0.0
7 Weeks
This course provides a practical overview for selecting, implementing, and evaluating educational technology initiatives. This course provides a practical overview for selecting, implementing, and evaluating educational technology initiatives. Schools are recognizing the potential for technology to transform teaching and learning. The audience for this course includes current and future teachers, entrepreneurs, developers, practitioners, and leaders in educational technology....
$99
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
Approx. 12 hours to complete
We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare. Evaluation and Metrics for machine learning in healthcare Receiver Operator and Precision Recall Curves as Evaluation Metrics Learn important approaches for leveraging data to train, validate, and test machine learning models....
End to End Data Science Practicum with Knime
by Prof. Dr. Ĺžadi Evren Ĺžeker- 0.0
9 hours on-demand video
Evaluation: In the final step of data science, we study the metrics of success via Confusion Matrix, Precision, Recall, Sensitivity, Specificity for classification; purity , randindex for Clustering and rmse, rmae, mse, mae for Regression / Prediction problems with Knime. We also have bonus classes for artificial neural network and deep learning on image processing problems....
$14.99
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Machine Learning Rapid Prototyping with IBM Watson Studio
by Mark J Grover , Meredith Mante- 4.6
Approx. 9 hours to complete
Learners will be provided with test data sets for two use cases. This course is intended for practicing Data Scientists. Evaluation measures for models Check for Understanding Check for Understanding Check for Understanding Check for Understanding Check for Understanding Check for Understanding Check for Understanding Check for Understanding Check for Understanding...
How to Win a Data Science Competition: Learn from Top Kagglers
by Dmitry Ulyanov , Alexander Guschin , Mikhail Trofimov , Dmitry Altukhov , Marios Michailidis- 4.7
Approx. 54 hours to complete
If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few. General approaches for metrics optimization...
Complete Python Machine Learning & Data Science for Dummies
by Abhilash Nelson- 4.1
10.5 hours on-demand video
Machine Learning and Data Science for programming beginners using python with scikit-learn, SciPy, Matplotlib & Pandas The best trials for walking and talking which gave positive results were kept in our memory and made use later. Machine Learning Algorithm Evaluation Algorithm Evaluation Metrics steps For Finalizing regression models - boston housing dataset...
$11.99