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Financial & Managerial Accounting Capstone: Course 5 of 5
by Norm Nemrow- 4.5
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9.5 hours on-demand video
These lessons are taught by world experts in their respective fields of study, and you will see how accounting applies to world around you like never before. While its impossible to cover all the applications that an accounting education can influence, we cover many of them here which will give you an excellent foundation as you continue with your education....
$17.99
Pricing Options with Mathematical Models
by Jaksa Cvitanic- 0.0
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10 Weeks
Introduction to the Black-Scholes-Merton model and other mathematical models for pricing financial derivatives and hedging risk in financial markets. This is an introductory course on options and other financial derivatives, and their applications to risk management. You should have a working knowledge of basic calculus, statistics, and probability and be interested in the use of mathematical modeling....
$49
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
Differentiate uses and applications of classification and regression in the context of supervised machine learning This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
Differentiate uses and applications of classification and regression in the context of supervised machine learning This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting....
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
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Approx. 22 hours to complete
Goals and Activities in the Machine Learning Process Tools Used in this Course Slides: Machine Learning Overview and Applications Data Exploration through Summary Statistics Data Exploration in Spark Association Analysis in Detail Cluster Analysis in Spark Cluster Analysis in Spark PDFs of Cluster Analysis in Spark Hands-On Readings Cluster Analysis in Spark Quiz...
Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
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Approx. 38 hours to complete
These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more....
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
-Differentiate uses and applications of classification and classification ensembles -Use oversampling and undersampling as techniques to handle unbalanced classes in a data set This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. Optional: How to create a project in IBM Watson Studio Regularization in Support Vector Machines...
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Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
-Differentiate uses and applications of classification and classification ensembles -Use oversampling and undersampling as techniques to handle unbalanced classes in a data set This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. Optional: How to create a project in IBM Watson Studio Regularization in Support Vector Machines...
Probability - The Science of Uncertainty and Data
by John Tsitsiklis , Dimitri Bertsekas , Patrick Jaillet , Karene Chu- 0.0
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16 Weeks
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science. This course is part of theMITx MicroMasters Program in Statistics and Data Science. Laws of large numbers and their applications...
$300
IBM Machine Learning Professional Certificate
- 0.0
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Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Also gain practice in specialized topics such as Time Series Analysis and Survival Analysis. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Machine Learning....
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