机器学习辅导课程

由讲师进行实时指导的机器学习 培训课程导通过动手实践演示如何应用机器学习技术和工具来解决各行业的现实问题。考而思教育机器学习课程涵盖不同的编程语言和框架，包括Python、R语言、Matlab。机器学习课程适用于多种行业应用，包括金融、银行、保险，涵盖机器学习的基础知识以及深度学习等更高级的方法。

机器学习培训形式包括“现场实时培训”和“远程实时培训”。现场实时培训可在客户位于中国的所在场所或考而思教育位于中国的企业培训中心进行，远程实时培训可通过交互式远程桌面进行。

MachineLearning(ML)课程大纲

Artificial Intelligence Overview

7小时 This course has been created for managers, solutions architects, innovation officers, CTOs, software architects and anyone who is interested in an overview of applied artificial intelligence and the nearest forecast for its development.

Machine Learning Fundamentals with Python

14小时 The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Python用于高级机器学习

21小时 在这一由讲师引导的现场培训中，参与者将学习Python中最相关及最尖端的机器学习技术，因为它们构建了一系列涉及图像、音乐、文本和财务数据的演示应用程序。在本次培训结束后，参与者将能够：- 运用用于解决复杂问题的机器学习算法和技术- 将深度学习和半监督学习应用于涉及图像、音乐、文本和财务数据的应用程序- 推动Python算法达到其最大潜力- 使用例如NumPy和Theano的库和包受众- 开发人员- 分析师- 数据科学家课程形式- 部分讲座、部分讨论、练习和大量实操

Machine Learning with Python

28小时 The aim of this course is to provide general proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Applied AI from Scratch in Python

28小时 This is a 4 day course introducing AI and it's application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course.

用Python进行深度强化学习

21小时 深度强化学习是指“人工智能体”通过反复试验和奖惩来学习的能力。人工智能体旨在模仿人类直接从原始输入（如视觉）获取和构建知识的能力。为了实现强化学习，深度学习和神经网络会被用到。强化学习与机器学习不同，不依赖于有监督和无监督的学习方法。在这一由讲师引导的现场培训中，学员将在逐步创建深度学习智能体的过程中学习深度强化学习的基础知识。在本次培训结束后，学员将能够：- 理解深度强化学习的基本概念，及其与机器学习的区别- 运用先进的强化学习算法来解决实际问题- 构建深度学习智能体受众- 开发人员- 数据科学家课程形式- 部分讲座、部分讨论、练习和大量实操

用于电信行业的深度学习（使用Python）

28小时 机器学习是人工智能的一个分支，指计算机可以在不被明确编程的情况下学习。深度学习是机器学习的一个子领域，它使用基于学习数据表示和结构（例如神经网络）的方法。Python是一种高级编程语言，以其清晰的语法和代码易读性而闻名。在这一由讲师引导的现场培训中，学员将逐步学习如何创建深度学习信用风险模型，从而学习如何使用Python实现用于电信行业的深度学习模型。在本次培训结束后，学员将能够：- 了解深度学习的基本概念。- 了解深度学习在电信行业中的应用和用途。- 使用Python、Keras、TensorFlow创建用于电信行业的深度学习模型。- 使用Python构建自己的深度学习客户流失预测模型。课程形式- 互动讲座和讨论。- 大量练习和实操。- 在现场实验室环境中动手实现。课程自定义选项- 如需本课程的定制培训，请联系我们以作安排。

Fundamentals of Artificial Intelligence and Machine Learning

28小时 Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks.Python is a high-level programming language famous for its clear syntax and code readability.In this instructor-led, live training, participants will learn how to implement deep learning models for telecom using Python as they step through the creation of a deep learning credit risk model.By the end of this training, participants will be able to:- Understand the fundamental concepts of deep learning.- Learn the applications and uses of deep learning in telecom.- Use Python, Keras, and TensorFlow to create deep learning models for telecom.- Build their own deep learning customer churn prediction model using Python.Format of the Course- Interactive lecture and discussion.- Lots of exercises and practice.- Hands-on implementation in a live-lab environment.Course Customization Options- To request a customized training for this course, please contact us to arrange.

Introduction to Machine Learning

7小时 This training course is for people that would like to apply basic Machine Learning techniques in practical applications.AudienceData scientists and statisticians that have some familiarity with machine learning and know how to program R. The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization. The purpose is to give a practical introduction to machine learning to participants interested in applying the methods at workSector specific examples are used to make the training relevant to the audience.

Applied Machine Learning

14小时 This training course is for people that would like to apply Machine Learning in practical applications.AudienceThis course is for data scientists and statisticians that have some familiarity with statistics and know how to program R (or Python or other chosen language). The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization.The purpose is to give practical applications to Machine Learning to participants interested in applying the methods at work.Sector specific examples are used to make the training relevant to the audience.

Machine Learning Fundamentals with R

14小时 The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the R programming platform and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Artificial Neural Networks, Machine Learning, Deep Thinking

21小时 Artificial Neural Network is a computational data model used in the development of Artificial Intelligence (AI) systems capable of performing "intelligent" tasks. Neural Networks are commonly used in Machine Learning (ML) applications, which are themselves one implementation of AI. Deep Learning is a subset of ML.

Machine Learning for Robotics

21小时 This course introduces machine learning methods in robotics applications.It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition.After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software.

MATLAB与机器学习入门

21小时 MATLAB is a numerical computing environment and programming language developed by MathWorks.

Machine Learning Fundamentals with Scala and Apache Spark

14小时 The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Scala programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Data Mining & Machine Learning with R

14小时 R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.

Machine Learning with PredictionIO

21小时 PredictionIO is an open source Machine Learning Server built on top of state-of-the-art open source stack.AudienceThis course is directed at developers and data scientists who want to create predictive engines for any machine learning task.

From Zero to AI

35小时 This course is created for people who have no previous experience in probability and statistics.

Octave not only for programmers

21小时 Course is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would like to systematize their knowledge and improve their skills. Knowledge of other programming languages is not required, but it will greatly facilitate the learners' acquisition of knowledge. The course will show you how to use the program in many practical examples.

Machine Learning Concepts for Entrepreneurs and Managers

21小时 This training course is for people that would like to apply Machine Learning in practical applications for their team. The training will not dive into technicalities and revolve around basic concepts and business/operational applications of the same.Target Audience- Investors and AI entrepreneurs- Managers and Engineers whose company is venturing into AI space- Business Analysts & Investors

Snorkel: Rapidly Process Training Data

7小时 Snorkel is a system for rapidly creating, modeling, and managing training data. It focuses on accelerating the development of structured or "dark" data extraction applications for domains in which large labeled training sets are not available or easy to obtain.In this instructor-led, live training, participants will learn techniques for extracting value from unstructured data such as text, tables, figures, and images through modeling of training data with Snorkel.By the end of this training, participants will be able to:- Programmatically create training sets to enable the labeling of massive training sets- Train high-quality end models by first modeling noisy training sets- Use Snorkel to implement weak supervision techniques and apply data programming to weakly-supervised machine learning systemsAudience- Developers- Data scientistsFormat of the course- Part lecture, part discussion, exercises and heavy hands-on practice

Encog: Advanced Machine Learning

14小时 Encog is an open-source machine learning framework for Java and .Net.In this instructor-led, live training, participants will learn advanced machine learning techniques for building accurate neural network predictive models.By the end of this training, participants will be able to:- Implement different neural networks optimization techniques to resolve underfitting and overfitting- Understand and choose from a number of neural network architectures- Implement supervised feed forward and feedback networksAudience- Developers- Analysts- Data scientistsFormat of the course- Part lecture, part discussion, exercises and heavy hands-on practice

Encog: Introduction to Machine Learning

14小时 Encog is an open-source machine learning framework for Java and .Net.In this instructor-led, live training, participants will learn how to create various neural network components using ENCOG. Real-world case studies will be discussed and machine language based solutions to these problems will be explored.By the end of this training, participants will be able to:- Prepare data for neural networks using the normalization process- Implement feed forward networks and propagation training methodologies- Implement classification and regression tasks- Model and train neural networks using Encog's GUI based workbench- Integrate neural network support into real-world applicationsAudience- Developers- Analysts- Data scientistsFormat of the course- Part lecture, part discussion, exercises and heavy hands-on practice

Machine Learning on iOS

14小时 In this instructor-led, live training, participants will learn how to use the iOS Machine Learning (ML) technology stack as they step through the creation and deployment of an iOS mobile app.By the end of this training, participants will be able to:- Create a mobile app capable of image processing, text analysis and speech recognition- Access pre-trained ML models for integration into iOS apps- Create a custom ML model- Add Siri Voice support to iOS apps- Understand and use frameworks such as coreML, Vision, CoreGraphics, and GamePlayKit- Use languages and tools such as Python, Keras, Caffee, Tensorflow, sci-kit learn, libsvm, Anaconda, and SpyderAudience- DevelopersFormat of the course- Part lecture, part discussion, exercises and heavy hands-on practice

机器学习用于银行业务（使用R）

28小时 在这一由讲师引导的现场培训中，参与者将学习如何应用机器学习技术和工具来解决银行业的现实问题。R将被用作编程语言。参与者首先学习关键原则，然后通过建立自己的机器学习模型并使用模型来完成一些现场项目以将所学知识运用到实践中。受众- 开发人员- 数据科学家- 具有技术背景的银行专业人士课程形式- 部分讲座、部分讨论、练习和大量实操

OpenNLP for Text Based Machine Learning

14小时 The Apache OpenNLP library is a machine learning based toolkit for processing natural language text. It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing and coreference resolution.In this instructor-led, live training, participants will learn how to create models for processing text based data using OpenNLP. Sample training data as well customized data sets will be used as the basis for the lab exercises.By the end of this training, participants will be able to:- Install and configure OpenNLP- Download existing models as well as create their own- Train the models on various sets of sample data- Integrate OpenNLP with existing Java applicationsAudience- Developers- Data scientistsFormat of the course- Part lecture, part discussion, exercises and heavy hands-on practice

Machine Learning for Finance (with R)

28小时 Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the finance industry. R will be used as the programming language.Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects.By the end of this training, participants will be able to:- Understand the fundamental concepts in machine learning- Learn the applications and uses of machine learning in finance- Develop their own algorithmic trading strategy using machine learning with RAudience- Developers- Data scientistsFormat of the course- Part lecture, part discussion, exercises and heavy hands-on practice

Turning Data into Intelligent Action with Cortana Intelligence

28小时 Cortana Intelligence Suite is a bundle of integrated products and services on the Microsoft Azure Cloud that enable entities to transform data into intelligent actions.In this instructor-led, live training, participants will learn how to use the components that are part of the Cortana Intelligence Suite to build data-driven intelligent applications.By the end of this training, participants will be able to:- Learn how to use Cortana Intelligence Suite tools- Acquire the latest knowledge of data management and analytics- Use Cortana components to turn data into intelligent action- Use Cortana to build applications from scratch and launch it on the cloudAudience- Data scientists- Programmers- Developers- Managers- ArchitectsFormat of the course- Part lecture, part discussion, exercises and heavy hands-on practice

AI Awareness for Telecom

14小时 AI is a collection of technologies for building intelligent systems capable of understanding data and the activities surrounding the data to make "intelligent decisions". For Telecom providers, building applications and services that make use of AI could open the door for improved operations and servicing in areas such as maintenance and network optimization.In this course we examine the various technologies that make up AI and the skill sets required to put them to use. Throughout the course, we examine AI's specific applications within the Telecom industry.Audience- Network engineers- Network operations personnel- Telecom technical managersFormat of the course- Part lecture, part discussion, hands-on exercises

Machine Learning in business – AI/Robotics

14小时 This classroom based training session will explore machine learning techniques, with computer based examples and case study solving exercises using a relevant programme languauge