Search result for What is data structure and algorithm Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 845 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Data Structures and Algorithms In C
by Deepali Srivastava- 4
-
![]()
![]()
![]()
![]()
![]()
10 hours on-demand video
Throughout this Data Structures and Algorithms with C course, a step by step approach is followed to make you understand different Data Structures and Algorithms. "This is exactly how I hoped to learn data structure and algorithm, PLUS, it's using C!!" "I'm re-learning something what I am learn years ago, and this course is perfect for my need....
$12.99
Detect and Mitigate Ethical Risks
by Renée Cummings , Jennifer Fischer , Eleanor 'Nell' Watson- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
What we need is a way to manage ethical risk. This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. The Importance of Managing Fairness and Non-Discrimination Risks Evaluate Training Data and Models...
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course. What is Machine Learning in Finance? Smola and B. Scholkopf, “A Tutorial on Support Vector Regression”, Statistics and Computing, vol. Geron, “Hands-On Machine Learning with Scikit-Learn and TensorFlow”, Chapters 6 & 7...
Advanced Algorithmics and Graph Theory with Python
by Vincent Gripon , Patrick Meyer , Nicolas Farrugia , Carlos Eduardo Rosar Kos Lassance- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Strengthen your skills in algorithmics and graph theory, and gain experience in programming in Python along the way. Algorithmics and programming are fundamental skills for engineering students, data scientists and analysts, computer hobbyists or developers. This coursehas received financial support from the Patrick and Lina Drahi Foundation. How to choose the appropriate algorithm to solve the given computational problem...
$49
Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 33 hours to complete
Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. When applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money. Expectation-Maximization algorithm Latent Variable Models and EM algorithm...
Pattern Discovery in Data Mining
by Jiawei Han- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. What Is Pattern Discovery? Mining and Aggregating Patterns over Multiple Trajectories ToPMine: Phrase Mining without Training Data...
Data Structures and Algorithms In Java for Coding Interview
by Deepali Srivastava- 4.1
-
![]()
![]()
![]()
![]()
![]()
10.5 hours on-demand video
Throughout this Data Structures and Algorithms with Java course, a step by step approach is followed to make you understand different Data Structures and Algorithms. The pace is optimum and the explanation is to the point. More over, as is required of a Data Struct and Algorithm discussion, the complexity of the algorithms is analyzed and explained in detail....
$14.99
Related searches
Introduction to Data Analytics for Business
by David Torgerson- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish. Data and Analysis in the Real World Real World Events and Characteristics Data Storage and Databases Aggregating and Sorting Data in SQL...
IT Project Management
by M Rammohan Rao- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
The concepts and use of project management tools, techniques and methodologies are becoming all pervasive. The use of Earned Value Analysis for Project Monitoring and Control is emphasized. Organisation Structure of Projects Real Options Introduction and Taxonomy Project Network Scheduling and Crashing Work Breakdown Structure and Network Diagram Laddering, Lags and Gantt chart...
機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
by 林軒田- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. What is Overfitting? The Role of Noise and Data Size...
Previous
