Udemy

Platform

English

Language

Data Science

Category

Statistics For Machine Learning By Spotle

This Spotle masterclass by industry and academic leaders is for people who want to build careers in machine learning

Statistics For Machine Learning By Spotle

Students

3 hours

Content

Jan 2021

Last Update
Regular Price


What you will learn

Probability

Conditional Probability

Bayes Theorem

Random Variables

Variance And Covariance

Probability Distribution In Python

Measuring Central Tendency

Skewness and Kurtosis

Basic Statistics And Data Visualization Using Python

Missing Data Imputation

Statistical Estimation

Overview Of Artificial Intelligence

Overview Of Machine Learning

Overview Of Data Science

Types Of Machine Learning

Supervised And Unsupervised Machine Learning

Semi-supervised Machine Learning

Reinforcement Learning


Description

Data science, machine learning have become key industry drivers in the global job and opportunity market. And statistics is at the core of data science and machine learning. This course with lectures from industry experts and Ivy League academics will help students, recent graduates and young professionals learn statistics and focus deeper in their data science, machine learning careers ahead.

In this course you will learn:

  • Probability

  • Conditional probability

  • Bayes Theorem

  • Random variables

  • Probability distribution

  • Probability distribution using Python programming language

  • Measuring central tendency

  • Measuring skewness and kurtosis

  • Basic statistics and data visualization using python

  • Statistical estimation

  • Missing data imputation

  • Overview of artificial intelligence, machine learning and data science

  • Types of machine learning


Spotle

Spotle is an AI-powered talent network matching you to the relevant career path in real-time. Targeted at the highly mobile millennial and Gen-Z workforce, Spotle provides a dynamic and agile platform to discover career choices matched to your life goals.

The AI pulls your professional data, analyses your career goals and automatically finds the right networks, career paths and opportunities for you. Think of it as your AI-enabled assistant working 24/7 to help your career grow. Powered by a mix of NLP, predictive modelling and machine learning Spotle crunches all your professional data in the background and automatically discovers for you the right opportunities, networks and career resources for you. Spotle is focused on students and young professionals in the early stages of their career and we understand how important it is for you to have a solid start. The Spotle Learn platform aggregates learnings and content from top academics and industry practitioners and helps you build your skill through an adaptive learning path.

For companies or employers, Spotle uses deep matching to instantly surface the right talents you will want to hire. It simplifies the entire hiring process through AI-powered candidate matching. Your talent pipelining becomes easy as Spotle recommends potential hires based on your hiring goals and lets you engage with passive candidates who are not actively applying to jobs right now. It gives you a periscopic view into campus talents through leaderboards and innovative skill points.

Spotle reaches over 20,000 Recruiters and a million plus students and young professionals. The company works with leading campuses and companies to craft the right career matches.



Content

Introduction To Probability

Introduction, Rules And Conditional Probability

Conditional Probability

Conditional Probability

Bayes Theorem And Conditional Probability

Random Variables And Distribution

Random Variables And Distribution

Random Variables Expectations And Variance

Probability Distribution In Python

Explaining Probability Distribution In Python

Central Tendency

Measuring Central Tendency

Skewness And Kurtosis

Measuring Skewness And Kurtosis

Basic Statistics And Data Visualization

Basic Statistics And Data Visualization Using Python

Missing Data Imputation

Missing Data Imputation - Part 1

Missing Data Imputation - Part 2

Statistical Inference

Statistical Estimation

Introduction To AI, Machine Learning And Data Science

Introduction To Artificial Intelligence

Introduction To Machine Learning

Introduction To Data Science

Types Of Machine Learning

Supervised And Unsupervised Learning

Semi-supervised Machine Learning

Reinforcement Learning


3812120

Udemy ID

1/30/2021

Course created date

2/4/2021

Course Indexed date
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