Calculus – Mathematics for Data Science – Machine Learning

深度学习微积分

“使用 Python 掌握深度学习/机器学习/数据科学/数据分析/人工智能的微积分”

有了这门课，

您首先学习函数的定义，然后逐步将数据拟合到函数，这是任何机器学习、深度学习、人工智能、数据科学应用的核心。

一旦您掌握了本课程的概念，在将算法应用于您的数据时，您将永远不会盲目，而是对每个代码如何在后台工作有直觉。

无论您是在构建自动驾驶汽车，还是为 Netflix 构建推荐引擎，还是尝试为某个函数拟合实践数据

你的数据，

将有某种类型的标记输入和某种类型的标记输出。

一个典型的目标是通过调整参数将这些数据拟合到函数中。

因此在我们的课程中，

我们从了解您在高中时可能接触过的函数的基础知识开始。

接着，

在接下来的部分中，我们继续并应用基础知识并学习一些与近似相关的重要概念，这是任何机器学习、深度学习、人工智能、数据科学模型的核心

而且，在本课程的最后两节中，

我们利用从前几节中学到的所有知识，训练我们的神经网络，并通过从头开始编写代码来了解我们如何应用到线性回归模型中。

我们相信，一旦您有了微积分的直觉，您会惊讶于您在工作中的表现如何。

本课程由专家根据学生的反馈精心设计，让您拥有优质的学习体验。

立即加入，建立对机器学习、深度学习、人工智能、数据科学的数学部分的信心，并在您的职业生涯中保持领先地位。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.52 GB | Duration: 9h 55m

What you’ll learn
Build Mathematical intuition especially Calculus required for Deep learning, Data Science and Machine Learning
The Calculus intuition required to become a Data Scientist / Machine Learning / Deep learning Practitioner
How to take their Data Science / Machine Learning / Deep learning career to the next level
Hacks, tips & tricks for their Data Science / Machine Learning / Deep learning career
Implement Machine Learning / Deep learning Algorithms better
Learn core concept to Implement in Machine Learning / Deep learning

Requirements
Pen and a paper to workout maths problem
Computer with Python to execute the code
Some programming experience

Description
Do you want to be better data Scientist ?

Are you looking for way to stand out in the crowd?

Interested in increasing your Machine Learning, Deep Learning expertise by effectively applying the mathematical skills ?

If the Answer is Yes.

Then, this course is for you.

Calculus for Deep learning

“Mastering Calculus for Deep learning / Machine learning / Data Science / Data Analysis / AI using Python ”

With this course,

You start by learning the definition of function and move your way up for fitting the data to the function which is the core for any Machine learning, Deep Learning , Artificial intelligence, Data Science Application.

Once you have mastered the concepts of this course, you will never be blind while applying the algorithm to your data, instead you have the intuition as how each code is working in background.

Whether you are building Self driving cars, or building the recommendation engine for Netflix, or trying to fit the practice data for a function

Your data,

Will have some type of labelled input and , some type of labelled output.

A typical goal would always be fit these data to the function by adjusting the parameters.

Hence in our course,

We start from understanding the basics of functions which you might have touched upon in highschool.

And then,

In further sections, we move along and apply the basics and learn some of the important concepts related to approximation which is the core for any Machine learning, Deep Learning , Artificial intelligence, Data Science model

And, in the last two sections of this course,

We make use of all our learning from previous sections, and train our Neural networks and understand how we apply in Linear Regression models by writing the code from scratch.

We are sure that you will be amazed how well you can perform in your work once you have the intuition of calculus.

This course is carefully designed by experts with student’s feedback so that you can have the premium learning experience.

Join now to build confidence in Mathematics part of Machine learning, Deep Learning , Artificial intelligence, Data Science and stay ahead in your career.

See you in the Lesson 1.

Who this course is for:
Data Scientists who wish to improve their career in Data Science.
Deep learning / Machine learning practitioner who wants to take the career to next level
Any one who wants to understand the underpinnings of Maths in Data Science, Machine Learning , Deep Learning and Artificial intelligence
Any Data Science / Machine Learning / Deep learning enthusiast
Any student or professional who wants to start or transition to a career in Data Science / Machine Learning / Deep learning
Students who want to refresh and learn important maths concepts required for Machine Learning , Deep Learning & Data Science.
Any data analysts who want to level up in Machine Learning / Deep learning
Any people who are not satisfied with their job and who want to become a Data Scientist / Deep learning / Machine learning practitioner