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Status: VorschauUniversity of Michigan
Kompetenzen, die Sie erwerben: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis, Predictive Analytics
Status: VorschauDeepLearning.AI
Kompetenzen, die Sie erwerben: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing
Status: VorschauUniversity of Colorado Boulder
Kompetenzen, die Sie erwerben: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture
Status: Kostenloser TestzeitraumGoogle Cloud
Kompetenzen, die Sie erwerben: Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Applied Machine Learning, Text Mining
Status: VorschauGoogle Cloud
Kompetenzen, die Sie erwerben: Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Natural Language Processing, Text Mining
Status: VorschauNortheastern University
Kompetenzen, die Sie erwerben: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability
Status: NeuStatus: VorschauNortheastern University
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Deep Learning, Data Processing, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Neural Networks, Data Visualization Software, Pandas (Python Package), System Design and Implementation
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Keras (Neural Network Library), Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Network Architecture, Data Processing
Status: Kostenloser TestzeitraumUniversidades Anáhuac
Kompetenzen, die Sie erwerben: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Tensorflow, Image Analysis, Computer Vision, Machine Learning Methods, Natural Language Processing, Artificial Intelligence, Python Programming
Status: VorschauKompetenzen, die Sie erwerben: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Artificial Neural Networks, Predictive Modeling, Exploratory Data Analysis, Performance Tuning
Zusammenfassend finden Sie hier 10 unsere beliebtesten robotics Kurse
- 투자 기술의 혁신: AI: University of Michigan
- Modèles de séquence: DeepLearning.AI
- Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
- 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
- Dikkat Mekanizması: Google Cloud
- Attention Mechanism - Português Brasileiro: Google Cloud
- NLP in Engineering: Concepts & Real-World Applications: Northeastern University
- Statistical Learning for Engineering Part 2: Northeastern University
- Recommender Systems: An Applied Approach using Deep Learning: Packt
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
