Search in ebookee.net!

Machine Learning - Fun and Easy using Python and Keras



The poster (email) is not available. 收藏推荐: Bookmark this: Machine Learning Fun and Easy using Python and Keras

图书介绍


Machine Learning Fun and Easy using Python and Keras
Machine Learning - Fun and Easy using Python and Keras
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours | Lec: 50 | 1.13 GB
Genre: eLearning | Language: English



Machine Learning Fun and Easy using Python and Keras

Machine Learning presented to you in a simple and fun way along with Practical Labs using Python and Keras

Welcome to the Fun and Easy Machine learning Course in Python and Keras.

Are you Intrigued by the field of Machine Learning? Then this course is for you! We will take you on an adventure into the amazing of field Machine Learning. Each section consists of fun and intriguing white board explanations with regards to important concepts in Machine learning as well as practical python labs which you will enhance your comprehension of this vast yet lucrative sub-field of Data Science.

So Many Machine Learning Courses Out There, Why This One?

This is a valid question and the answer is simple. This is the ONLY course on Udemy which will get you implementing some of the most common machine learning algorithms on real data in Python. Plus, you will gain exposure to neural networks (using the H2o framework) and some of the most common deep learning algorithms with the Keras package.

We designed this course for anyone who wants to learn the state of the art in Machine learning in a simple and fun way without learning complex math or boring explanations. Each theoretically lecture is uniquely designed using whiteboard animations which can maximize engagement in the lectures and improves knowledge retention. This ensures that you absorb more content than you would traditionally would watching other theoretical videos and or books on this subject.

What you will Learn in this Course

This is how the course is structured:

Regression - Linear Regression, Decision Trees, Random Forest Regression,
Classification - Logistic Regression, K Nearest Neighbors (KNN), Support Vector Machine (SVM) and Naive Bayes,
Clustering - K-Means, Hierarchical Clustering,
Association Rule Learning - Apriori, Eclat,
Dimensionality Reduction - Principle Component Analysis, Linear Discriminant Analysis,
Neural Networks - Artificial Neural Networks, Convolution Neural Networks, Recurrent Neural Networks.

Practical Lab Structure

You DO NOT need any prior Python or Statistics/Machine Learning Knowledge to get Started. The course will start by introducing students to one of the most fundamental statistical data analysis models and its practical implementation in Python- ordinary least squares (OLS) regression. Subsequently some of the most common machine learning regression and classification techniques such as random forests, decision trees and linear discriminant analysis will be covered. In addition to providing a theoretical foundation for these, hands-on practical labs will demonstrate how to implement these in Python. Students will also be introduced to the practical applications of common data mining techniques in Python and gain proficiency in using a powerful Python based framework for machine learning which is Anaconda (Python Distribution). Finally you will get a solid grounding in both Artificial Neural Networks (ANN) and the Keras package for implementing deep learning algorithms such as the Convolution Neural Network (CNN). Deep Learning is an in-demand topic and a knowledge of this will make you more attractive to employers.

Excited Yet?

So as you can see you are going to be learning to build a lot of impressive Machine Learning apps in this 3 hour course. The underlying motivation for the course is to ensure you can apply Python based data science on real data into practice today. Start analyzing data for your own projects, whatever your skill level and IMPRESS your potential employers with an actual examples of your machine learning abilities.

It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different techniques on real data and interpret the results. After each video you will learn a new concept or technique which you may apply to your own projects.

TAKE ACTION TODAY! We will personally support you and ensure your experience with this course is a success. And for any reason you are unhappy with this course, Udemy has a 30 day Money Back Refund Policy, So no questions asked, no quibble and no Risk to you. You got nothing to lose. Click that enroll button and we'll see you in side the course.


[b]Buy Premium Account For Download With Full Speed[/b]
http://uploadgig.com/file/download/0DEa0026f8bdb9ec/Machine_Learning_-_Fun_and_Easy_using_Python_and_Keras.part1.rar
http://uploadgig.com/file/download/78654995413FbA13/Machine_Learning_-_Fun_and_Easy_using_Python_and_Keras.part2.rar
http://uploadgig.com/file/download/605b8e2597654bA0/Machine_Learning_-_Fun_and_Easy_using_Python_and_Keras.part3.rar
http://uploadgig.com/file/download/8A8A0dc419ba7be0/Machine_Learning_-_Fun_and_Easy_using_Python_and_Keras.part4.rar

or
http://nitroflare.com/view/2A8636CC2CB76AD/Machine_Learning_-_Fun_and_Easy_using_Python_and_Keras.part1.rar
http://nitroflare.com/view/1D604596DF0963A/Machine_Learning_-_Fun_and_Easy_using_Python_and_Keras.part2.rar
http://nitroflare.com/view/38F37738B1C4074/Machine_Learning_-_Fun_and_Easy_using_Python_and_Keras.part3.rar
http://nitroflare.com/view/7684BE406802C1B/Machine_Learning_-_Fun_and_Easy_using_Python_and_Keras.part4.rar



[Directly Download] Machine Learning - Fun and Easy using Python and Keras!


Download this book
DOWNLOAD Free download ezdownloader, then you can free download.

Download "Machine Learning - Fun and Easy using Python and Keras"

使用ezdownloader下载
DOWNLOAD


Copyright Disclaimer:
本站一切内容源于互联网搜索,禁止商用! 如有任何不妥请联系:admin@ebookee.com,我们将在24小时内删除相关内容。

浏览量:0 添加时间:2018-05-29 18:30:40, 更新时间:2018-05-29 18:30:40, shared by everest555

搜索该书!...


Search mirrors of "Machine Learning - Fun and Easy using Python and Keras"...

Search in ebookee.com!

下载链接


Free Magazine Subscriptions & Technical Document Downloads

推荐:使用EZdownloader下载电子书


没有下载链接
请在图书介绍里查找下载链接,如果没有,可以试着搜索有无其它该书信息。

不能下载?
如果不能下载或者在“图书介绍”中找不到 "Machine Learning - Fun and Easy using Python and Keras" 的下载链接请留言。下次访问本站时察看 所有留言 看是否有人已经更新了该书。

该书可能有其它下载链接,请点 这里查询相关图书


相关链接


"Machine Learning - Fun and Easy using Python and Keras" 相关链接:

  1. Ebooks list page : 36246
  2. Machine Learning - Fun and Easy using Python and Keras
  3. Machine Learning - Fun and Easy using Python and Keras
  4. Machine Learning - Fun and Easy using Python and Keras
  5. Machine Learning - Fun and Easy using Python and Keras
  6. Machine Learning - Fun and Easy using Python and Keras
  7. Python Machine Learning A Deep Dive Into Python Machine Learning and Deep Learning, Using Tensor Flo...
  8. Practical Artificial Intelligence Machine Learning, Bots, and Agent Solutions Using C#
  9. [PDF] A collection of Advanced Data Science and Machine Learning Interview Questions Solved in Python and Spark (II): Hands-on Big Data and Machine ... Programming Interview Questions) (Volume 7)
  10. Machine Learning, Optimization, and Big Data
  11. Machine Learning, Optimization, and Big Data
  12. Data Mining: Practical Machine Learning Tools and Techniques, (Morgan Kaufmann Series in Data Management Systems), 2nd Edition
  13. Machine Learning: Algorithms and Applications
  14. The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)
  15. The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)
  16. [PDF] Machine Learning: Neural and Statistical Classification
  17. [PDF] Machine Learning: Algorithms and Applications
  18. [PDF] Scaling up Machine Learning: Parallel and Distributed Approaches
  19. [PDF] Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes
  20. [PDF] Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics (Springer Texts in Statistics)
  21. [PDF] Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining

Comments


"Machine Learning - Fun and Easy using Python and Keras" 没有评论.

    Leave a Comment

    如果没有下载链接或者下载链接无效,请查看相关链接或者搜索相关资料。

    required

    required

    email addresses

    required

    Not clear? Click to refresh.


    Back to Top