
Board Infinity
您将获得的技能: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Configuration Management
中级 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Model Optimization, Model Training, Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: 卷积神经网络, 递归神经网络 (RNN), 模型培训, 模型优化, Transfer Learning, Model Evaluation, 迁移学习, 模型评估
中级 · 课程 · 1-4 周

您将获得的技能: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Data Access, Apache, Python Programming
★ 4.6 (90) · 初级 · 专项课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Engineering Tools, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Transfer Learning, Data Pipelines, Model Training
★ 4.5 (985) · 中级 · 专项课程 · 3-6 个月

您将获得的技能: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming
★ 4.6 (47) · 初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 统计资料, 微积分, 应用机器学习, 抽样(统计), 线性代数, 数学软件, 概率, 统计方法, 统计假设检验, 模型优化, 降维, 机器学习, 应用数学, 概率与统计, 概率分布, 统计推理, 贝叶斯统计, 机器学习方法, 描述性统计, 数据转换
★ 4.6 (3182) · 中级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 卷积神经网络, 深度学习, 计算机视觉, 生成式人工智能, 模型部署, MLOps(机器学习运营), 大型语言建模, 嵌入, 人工神经网络, 模型优化, 软件可视化, PyTorch(机器学习库), 生成模型架构
★ 5 (13) · 中级 · 课程 · 1-4 周

您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.6 (18) · 初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 应用机器学习, Python 编程, 预测建模, 模型培训, 分类算法, 模型优化, 无监督学习, 降维, Model Evaluation, 机器学习, 机器学习算法, 预测分析, 决策树学习, 逻辑回归, 机器学习方法, 监督学习, 回归分析, 模型评估, 统计机器学习, Scikit Learn(机器学习库)
★ 4.7 (1.8万) · 中级 · 课程 · 1-3 个月

Imperial College London
您将获得的技能: 计算机编程, 卷积神经网络, 深度学习, 自动编码器, 生成式人工智能, 应用机器学习, 模型培训, Keras(神经网络库), 递归神经网络 (RNN), 数据管道, 数据验证, 模型优化, Transfer Learning, Model Evaluation, 图像分析, Data Validation, 监督学习, 贝叶斯网络, 迁移学习, 贝叶斯统计, 模型评估, 生成模型架构, 张力流
★ 4.8 (722) · 中级 · 专项课程 · 3-6 个月

您将获得的技能: 自然语言处理, 负责任的人工智能, 生成式人工智能, 嵌入, 人工神经网络, 文本挖掘, 模型培训, 数据伦理, 大型语言建模, 功能工程, 模型优化, 分类算法, Transfer Learning, Model Evaluation, PyTorch(机器学习库), 迁移学习, 模型评估, 生成模型架构
★ 4.4 (197) · 中级 · 课程 · 1-4 周