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Results for "implementing optimizing algorithms"
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Data Access, Deep Learning, Data Analysis, Regression Analysis, Machine Learning, Statistical Analysis, Statistical Inference, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
Johns Hopkins University
Skills you'll gain: Bioinformatics, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences, Programming Principles, Computer Programming
University of California, Santa Cruz
Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Software Design, Graph Theory, Computer Science, Software Testing, File Systems, Computational Thinking
- Status: Free
École normale supérieure
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Operations Research, Mathematical Modeling, Probability
DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling, Data-Driven Decision-Making, Algorithms
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Multiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Python Programming, Machine Learning Algorithms, Unsupervised Learning
Clemson University
Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Programming Principles, Theoretical Computer Science, Pseudocode, Computer Science, Probability, Program Development, Performance Tuning, Scalability
EIT Digital
Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Pseudocode, Theoretical Computer Science, Spatial Analysis
University of California San Diego
Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Data Structures, Network Analysis, Network Model, Computer Programming
University of California San Diego
Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Advanced Mathematics, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Computational Logic, Probability & Statistics
University of California San Diego
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Mathematical Theory & Analysis, Combinatorics, Algorithms, Python Programming, Computer Programming, Computer Science, Advanced Mathematics
In summary, here are 10 of our most popular implementing optimizing algorithms courses
- IBM Machine Learning:Â IBM
- Algorithms for DNA Sequencing:Â Johns Hopkins University
- C, Go, and C++: A Comprehensive Introduction to Programming:Â University of California, Santa Cruz
- Approximation Algorithms Part I: École normale supérieure
- Supervised Machine Learning: Regression and Classification :Â DeepLearning.AI
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning:Â DeepLearning.AI
- Data Science Foundations:Â IBM
- Design and Analysis of Algorithms:Â Clemson University
- Geometric Algorithms:Â EIT Digital
- Algorithms on Graphs:Â University of California San Diego