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Results for "computational thinking for k-12 educators: sequences and loops"
- Status: NewStatus: Free Trial
Skills you'll gain: Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Prompt Engineering, Data Management, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Statistics, Cloud Computing, Application Deployment, Azure Synapse Analytics, Applied Machine Learning, Large Language Modeling, Data Pipelines, Generative AI, Machine Learning, Data Ethics, Virtual Machines, Performance Tuning, Continuous Monitoring
- Status: Preview
DeepLearning.AI
Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Performance Tuning, Machine Learning Algorithms, Machine Learning, Numerical Analysis, Network Architecture, Algorithms, Verification And Validation
- Status: Preview
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Data Compilation, Statistical Analysis, Artificial Neural Networks, Performance Tuning, Machine Learning Algorithms, Machine Learning, Algorithms
- Status: Preview
Pontificia Universidad Católica de Chile
Skills you'll gain: AI Personalization, Predictive Modeling, Machine Learning, Machine Learning Software, Dimensionality Reduction, Machine Learning Algorithms, Text Mining, Performance Testing, Analysis, Linear Algebra, Information Systems
- Status: NewStatus: Preview
Coursera Instructor Network
Skills you'll gain: Data Ethics, Artificial Intelligence, Compliance Management, Risk Mitigation, Regulatory Compliance, OpenAI, Mitigation, Ethical Standards And Conduct, Predictive Modeling, Business Ethics, Feature Engineering, Machine Learning, Diversity and Inclusion, Prompt Engineering, Exploratory Data Analysis, Auditing, Governance
- Status: NewStatus: Preview
KodeKloud
Skills you'll gain: Prompt Engineering, OpenAI, Data Ethics, Artificial Intelligence, Generative AI, Image Analysis, Large Language Modeling, Natural Language Processing, Computer Vision, Deep Learning, Machine Learning, Application Programming Interface (API), Reinforcement Learning, User Accounts, JSON, Key Management
Skills you'll gain: Data Manipulation, AI Personalization, Applied Machine Learning, Data Processing, Supervised Learning, Data Cleansing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis, Deep Learning
- Status: Preview
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Analysis, Debugging, Machine Learning, Network Architecture, Algorithms
- Status: Free Trial
University of Pennsylvania
Skills you'll gain: Feature Engineering, Unsupervised Learning, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Random Forest Algorithm, Scikit Learn (Machine Learning Library), Data Analysis, Regression Analysis, Machine Learning, Python Programming
- Status: Preview
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Deep Learning, Artificial Intelligence, Artificial Neural Networks, Machine Learning
- Status: Free Trial
Edureka
Skills you'll gain: Probability Distribution, Predictive Modeling, Exploratory Data Analysis, Statistical Inference, Data Analysis, Statistical Analysis, Probability & Statistics, Statistical Hypothesis Testing, Descriptive Statistics, Data Cleansing, Data Validation, Regression Analysis, Feature Engineering, Data Processing, Machine Learning
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Natural Language Processing, Deep Learning, Predictive Modeling, Applied Machine Learning, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
In summary, here are 10 of our most popular computational thinking for k-12 educators: sequences and loops courses
- Exam Prep DP-100: Microsoft Azure Data Scientist Associate: Whizlabs
- Améliorez les réseaux neuronaux profonds: DeepLearning.AI
- Повышение эффективности глубоких нейросетей: DeepLearning.AI
- Fundamentos de sistemas recomendadores: Pontificia Universidad Católica de Chile
- Responsible AI: Transparency & Ethics: Coursera Instructor Network
- Introduction to OpenAI: KodeKloud
- Recommender Systems with Machine Learning: Packt
- 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
- Intro to Predictive Analytics Using Python: University of Pennsylvania
- AI、機械学習、ディープラーニングのための TensorFlow 入門: DeepLearning.AI