您将获得的技能: Prompt Engineering, Generative AI, ChatGPT, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Data Analysis, Pandas (Python Package), Software Documentation, Debugging

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

您将获得的技能: Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Generative Adversarial Networks (GANs), Autoencoders, Model Evaluation, Large Language Modeling, Real Time Data, Scalability, Responsible AI, Transfer Learning, Natural Language Processing

您将获得的技能: 无监督学习, 深度学习, 抽样（统计）, 生成模型架构, 自动编码器, 应用机器学习, 概率分布, 图像分析, 贝叶斯统计, 张力流

您将获得的技能: 机器学习, Model Evaluation, 无监督学习, 深度学习, 决策树学习, 监督学习, 数据操作, 数据预处理, 应用机器学习, 随机森林算法, 模型评估, 分类算法, 预测建模, 降维, 自动编码器, 功能工程, 异常检测

您将获得的技能: Model Evaluation, 无监督学习, 模型部署, 健康信息学, 模型评估, Python 编程, 应用机器学习, 深度学习, 递归神经网络 (RNN), 人工神经网络, 医学影像, 嵌入, 自动编码器, 图像分析, 卷积神经网络, 机器学习方法

您将获得的技能: Computer Vision, Vision Transformer (ViT), Convolutional Neural Networks, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Autoencoders, Unsupervised Learning, 3D Assets

您将获得的技能: 自然语言处理, 马尔可夫模型, 概率与统计, 数据预处理, 人工神经网络, 嵌入, 统计建模, Algorithm, 文本挖掘, 机器学习方法, 算法

您将获得的技能: Model Evaluation, 深度学习, 模型评估, Keras（神经网络库）, 递归神经网络 (RNN), 图像分析, 卷积神经网络, 张力流

您将获得的技能: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Tensorflow, Classification Algorithms, Model Evaluation

您将获得的技能: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning

您将获得的技能: Keras (Neural Network Library), Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Autoencoders, Applied Machine Learning, Natural Language Processing, Embeddings