通过练习学习统计学、数据科学、商业决策的概率和机器学习的贝叶斯定理
你会学到:
从头开始学习概率论
你将学习不同类型的分布:正态分布、二项式分布、泊松分布…
详细学习集合论、排列组合
了解如何将概率与统计联系起来
你将学习如何应用贝叶斯定理
你将学习相互和不相互排斥的概率定律
你将学习可能性的相关和独立事件
更多…
MP4 |视频:h264，1280×720 |音频:AAC，44.1 KHz，2 Ch
语言：英语+中英文字幕（云桥网络 机译） |时长:233节课(9h 32m) |大小解压后:2.36 GB
要求
基础数学
描述
在这门非常全面的概率课程中，你可以学到从集合论、组合学到概率的一切，以及大量的挑战和解决方案。概率是现代科学的基础之一，如机器学习、预测风险管理、推理统计和商业决策。理解概率的深度将使你有能力解决许多日常的商业和科学预测问题。本课程包括但不限于:
设置
通用集
合适子集和不合适子集
超集和单集
空或空集合
动力装置
等价集
设置生成器符号
集合的基数
设置操作
集合定律
有限集合和无限集合
数字集
文氏图
集合的并、交和补
阶乘
排列
组合
理论概率
经验几率
概率加法规则
相互的和不相互排斥的
概率的乘法规则
从属和独立事件
随机变量
离散和连续变量
z分数
条件概率
贝叶斯定理
二项分布
泊松分布
正态分布
偏斜度和库尔提索
t分布
概率决策树
您还可以访问问答部分，在那里您可以联系发帖者提问。你也可以直接给我发信息。
完成本课程后，您将收到一份结业证书，您可以将其发布在您的LinkedIn帐户上，供我们的同事和潜在雇主查看！所有这些都附有30天的退款保证。这样你就可以无风险地尝试这门课程了！
本课程面向谁:
那些从零开始的概率
学习概率的当代学生
数据科学领域的专业人士
银行业专业人士
保险行业的专业人士
这门课是给谁的
学生和专业人士
需要了解如何应用概率解决问题的人
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 233 lectures (9h 32m) | Size: 2.11 GB
Learn Probability for Statistics, Data Science, Business decisions and Bayes Theorem for Machine Learning with Exercises
What you’ll learn:
Learn probability theory from scratch
You will learn Different types of distributions: Normal, Binomial, Poisson…
Learn set theory, permutation and combination in details
Understand how to link probability with statistics
You will learn how to apply Bayes’ theorem
You will learn mutually and non-mutually exclusive laws of probability
You will learn dependent and independent events of probaility
A lot more…
Requirements
Basic maths
Description
In this highly comprehensive probability course, you learn everything from Set theory, Combinatorics to Probability with tons of challenges and solutions. Probability is one of the bedrock of modern science such as machine learning, predictive risk management, inferential statistics, and business decisions. Understanding the depth of probability will empower you to solve numerous day-to-day business and scientific prediction problems. This course includes but is not limited to:
Sets
Universal Set
Proper and Improper Subset
Super Set and Singleton Set
Null or Empty Set
Power Set
Equal and Equivalent Set
Set Builder Notations
Cardinality of Set
Set Operations
Laws of Sets
Finite and Infinite Set
Number Sets
Venn Diagram
Union, Intersection, and Complement of Set
Factorial
Permutations
Combinations
Theoretical Probability
Empirical Probability
Addition Rules of Probability
Mutual and Non-mutual Exclusive
Multiplication Rules of Probability
Dependent and Independent Events
Random Variable
Discrete and Continuous Variable
Z-Score
Conditional Probability
Bayes Theorem
Binomial Distribution
Poisson Distribution
Normal Distribution
Skewness and Kurtisos
T – Distribution
Decision Tree of Probability
You will also have access to the Q&A section where you contact post questions. You can also send me a direct message.
Upon the completion of this course, you’ll receive a certificate of completion which you can post on your LinkedIn account for our colleagues and potential employers to view! All these come with a 30-day money-back guarantee. so you can try out the course risk-free!
Who is this course for:
Those starting from scratch in probability
Current students studying probability
Professional in the field of Data Science
Professionals in the banking industry
Professionals in the insurance industry
Who this course is for
Students and professionals
Those who need to understand how to apply probability to solve problems
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