NLP 课程可以帮助您学习文本处理、Sentiment Analysis、语言模型和聊天机器人开发。您可以掌握数据预处理、Feature Extraction 和 Model Evaluation 性能方面的技能。许多课程介绍了 NLTK 和 spaCy 等 Python 库以及 TensorFlow 和 PyTorch 等框架等工具,这些工具支持实施 NLP 技术和开发利用人工智能的应用程序。

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Embeddings, Data Preprocessing, Model Evaluation
高级设置 · 课程 · 1-3 个月

Microsoft
您将获得的技能: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing
中级 · 专业证书 · 3-6 个月

IBM
您将获得的技能: 机器学习, 生成式人工智能, 模型评估, 计算机视觉, 数据科学, 及时工程, 生成式人工智能代理, 无监督学习, 大型语言建模, Python 编程, 检索-增强生成, Apache Spark, 矢量数据库, PySpark, 迁移学习, Transfer Learning, Prompt Engineering, PyTorch(机器学习库), 视觉转换器(ViT), Keras(神经网络库), 监督学习, Model Evaluation, 生成模型架构
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中级 · 专业证书 · 3-6 个月

您将获得的技能: Data Preprocessing, Model Evaluation, Hugging Face, Data Transformation, Feature Engineering, Data Pipelines, Image Analysis, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms
中级 · 课程 · 3-6 个月

您将获得的技能: Classification Algorithms, Machine Learning Methods, Data Preprocessing, Model Evaluation, Embeddings
初级 · 课程 · 1-4 周

您将获得的技能: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining
中级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 机器学习, 深度学习, 生成式对抗网络(GANs), 数据科学, 数据分析, 数据预处理, 监督学习, 自动编码器, Python 编程, 卷积神经网络, 无监督学习, 降维, 探索性数据分析, 回归分析, 时间序列分析和预测, 统计方法, 递归神经网络 (RNN), 分类算法, 功能工程, 强化学习, 生成对抗网络 (GAN)
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中级 · 专业证书 · 3-6 个月

您将获得的技能: Natural Language Processing, Text Mining, Data Manipulation, Unstructured Data, Markov Model, Data Preprocessing, Python Programming, Applied Machine Learning, Feature Engineering, Algorithms, Probability & Statistics
中级 · 课程 · 1-3 个月

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
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning
初级 · 指导项目 · 不超过 2 小时

Northeastern University
您将获得的技能: Natural Language Processing, Embeddings, Model Evaluation, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning, Machine Learning Algorithms, Classification Algorithms
混合 · 课程 · 1-4 周