您将获得的技能: Bayesian Network, Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Tensorflow, Machine Learning, Model Evaluation, Network Architecture, Algorithms, Probability Distribution

您将获得的技能: 卷积神经网络, 人工智能, 概率与统计, 自然语言处理, 预测建模, 模型评估, Machine Learning 方法, 放射诊断学, 医学科学与研究, 磁共振成像, 医学影像, 统计机器学习, 数据预处理, 张力流, 应用机器学习, 风险模型, 图像分析, 深度学习, 机器学习

您将获得的技能: Real Time Data, Dataflow, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Data Maintenance, Data Lakes, Apache Hadoop, Dashboard, Apache Airflow, Tensorflow, Cloud Services, Data Infrastructure, Data Warehousing

您将获得的技能: Scikit-learn （机器学习库）, 模型评估, 统计方法, 衍生产品, 监督学习, 预测建模, 马尔可夫模型, 应用机器学习, 金融交易, 强化学习, 人工神经网络, 无监督学习, 深度学习, 市场流动性, 张力流, 决策树学习, 金融市场, 回归分析, 机器学习, 降维

您将获得的技能: 人工智能, 生成式人工智能, Google 云端平台, 模型部署, 监督学习, Prompt Engineering, MLOps（机器学习 Operator）, AI 工作流程, 云基础设施, 张力流, 大数据, 机器学习

您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

您将获得的技能: Healthcare 5.0, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Jupyter, LLM Application, Generative Model Architectures, AI Product Strategy, Model Evaluation, Multimodal Prompts, Health Systems, Health Information Management, Data Preprocessing, Data Analysis

您将获得的技能: Model Deployment, Large Language Modeling, Cloud Deployment, Data Ethics, CI/CD, Transfer Learning, Model Evaluation, Performance Tuning

您将获得的技能: 模型评估, 统计方法, Scikit-learn （机器学习库）, 预测建模, 监督学习, 强化学习, 逻辑回归, 应用机器学习, 金融, 张力流, Jupyter, 金融市场, 人工神经网络, 深度学习, 机器学习, 回归分析

您将获得的技能: 卷积神经网络, 分类算法, Machine Learning 方法, 模型部署, 计算机视觉, 机器学习算法, 深度学习, 迁移学习, Jupyter, IBM 云, 可视化（计算机制图）, 逻辑回归

您将获得的技能: 拥抱的脸, PyTorch（机器学习库）, Docker (软件), 负责任的人工智能, 人工智能和机器学习（AI/ML）, 云计算解决方案, 拉斯特（编程语言）, MLOps（机器学习 Operator）, Devops, Microsoft Copilot, 应用机器学习, 集装箱化, CI/CD, 无服务器计算, GitHub, 张力流, 大数据, 机器学习

您将获得的技能: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming