您将获得的技能: 统计分析, 概率与统计, 决策树学习, 数据预处理, 随机森林算法, 模型评估, 预测建模, 逻辑回归, 机器学习, 统计机器学习, 应用机器学习, 深度学习, 功能工程, 风险模型

您将获得的技能: 迁移学习, 模型评估, PyTorch（机器学习库）, Keras（神经网络库）, 应用机器学习, 自然语言处理, 递归神经网络 (RNN), 嵌入

您将获得的技能: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy

您将获得的技能: 生成对抗网络 (GAN), 卷积神经网络, 可扩展性, 迁移学习, Machine Learning 方法, 计算机视觉, 强化学习, 自然语言处理, 递归神经网络 (RNN), 深度学习, 性能调整, 人工神经网络

您将获得的技能: 生成式人工智能, 负责任的人工智能, 克劳德人类学, 数据伦理, 市场趋势, 监督学习, 人工智能, 商业智能, 人机界面, AI 产品战略, 机器学习, 市场数据, 新兴技术, 深度学习, ChatGPT, OpenAI

您将获得的技能: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

您将获得的技能: Natural Language Processing, Recurrent Neural Networks (RNNs), Embeddings, Transfer Learning, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning

您将获得的技能: 卷积神经网络, 企业战略, 人工智能和机器学习（AI/ML）, 人工智能, 强化学习, 技术战略, 自然语言处理, 机器学习, 张力流, 递归神经网络 (RNN), 深度学习, 人工神经网络, 无监督学习

您将获得的技能: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

您将获得的技能: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing

您将获得的技能: Python 程序设计, 决策树学习, 分类算法, Scikit-learn （机器学习库）, Keras（神经网络库）, 模型评估, 回归分析, 机器学习, 随机森林算法, 深度学习, 人工神经网络, 张力流

您将获得的技能: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Markov Model