Filter by
The language used throughout the course, in both instruction and assessments.
Results for "gradient+descent"
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
Imperial College London
Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Unsupervised Learning, Python Programming, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter
Coursera Project Network
Skills you'll gain: Portfolio Management, Financial Modeling, Correlation Analysis, Investment Management, Financial Analysis, Mathematical Modeling, Risk Modeling, Equities, Variance Analysis
University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Logic, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Combinatorics, Programming Principles, Computer Programming, Computer Science, Graph Theory, Advanced Mathematics, Analysis, Emerging Technologies
Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Data Strategy, Scikit Learn (Machine Learning Library), Business Metrics, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Performance Tuning, Artificial Neural Networks, Data Pipelines, Deep Learning
Skills you'll gain: Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), ChatGPT, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Text Mining, Application Development, Feature Engineering, Artificial Intelligence, Document Management, Machine Learning Methods, Jupyter, Data Processing, Tensorflow, Applied Machine Learning, Application Frameworks, Performance Tuning
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
Skills you'll gain: Generative AI, ChatGPT, Natural Language Processing, Computer Vision, Deep Learning, Predictive Modeling, Text Mining, Data Ethics, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, OpenAI, Supervised Learning, Artificial Neural Networks, Software Development Tools, GitHub, Artificial Intelligence, Python Programming, Information Privacy
Coursera Project Network
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision
Coursera Project Network
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning
DeepLearning.AI
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Machine Learning, Supervised Learning, Data Processing, Data Transformation
Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Data Processing, Data Transformation
In summary, here are 10 of our most popular gradient+descent courses
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- TensorFlow 2 for Deep Learning: Imperial College London
- Portfolio Optimization using Markowitz Model: Coursera Project Network
- Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
- Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
- Generative AI Engineering with LLMs: IBM
- Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
- Learn Generative AI with LLMs: Edureka
- Basic Image Classification with TensorFlow: Coursera Project Network
- Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network