用机器学习算法来理解数据科学和大数据分析Data Science using Machine Learning Algorithm with Big Data

本课程将利用机器学习算法和大数据概念来理解数据科学。机器学习算法覆盖的大数据分析。本课程分为三部分。第1部分侧重于所有重要概念的数据科学，第2部分侧重于所有必要算法的机器学习，第3部分侧重于具有基础知识的大数据。对线性回归、Logistic回归、SVM、K均值、KNN、朴素贝叶斯、决策树和随机森林等机器学习算法进行了实例研究。该课程提供了在数据科学、机器学习和大数据领域开始职业生涯的途径。机器学习类型包括监督学习、非监督学习、强化学习等。介绍了机器学习的概念，如列车试验分割、机器学习模型、模型评价等。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 69 lectures (11h 38m) | Size: 4.85 GB
Data Science and Data Analytics of Big Data with Machine Learning Algorithms

What you’ll learn:
The course provides path to start career in Data Science ,Machine Learning and Big Data
Impress interviewers by showing an understanding of the Data Science ,Machine Learning and Big Data concept

Requirements
It start with Basics
All software used in this course is either available for Free or as a Demo version
This course is intended for absolute beginners in programming

Description
This Course will design to understand Data Science using Machine Learning Algorithms with big data concept. Big data Analysis covered with machine learning algorithms. This Course divide in three part. Part 1 focus on Data Science with all important concept, Part 2 focus on Machine Learning with all necessary algorithms, Part 3 focus on Big Data with basic fundamental. The Machine Learning Algorithms such as Linear Regression, Logistic Regression, SVM, K Mean, KNN, Naïve Bayes, Decision Tree and Random Forest are covered with case studies. The course provides path to start career in Data Science, Machine Learning and big data . Machine Learning Types such as Supervise Learning, Unsupervised Learning, Reinforcement Learning are also covered. Machine Learning concept such as Train Test Split, Machine Learning Models, Model Evaluation are also covered.

Machine Learning- Machine learning is the field of study that focuses on computer systems that can learn from data. That is the system’s often called models can learn to perform a specific task by analyzing lots of examples for a particular problem. For example, a machine learning model can learn to recognize an image of a dog by being shown lots and lots of images of dogs.

What is Data Science- Data science is an inter-disciplinary field of Computer Science that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data.

Big Data- it is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.

Who this course is for
The course is ideal for all, as it starts from the fundamentals and gradually builds up your skills in Data Science ,Machine Learning and Big Data concept