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WEBINAR

Machine learning: A data-driven approach for success

Description
Mode of Delivery : Webinar
Posted on : December 1, 2019
When : December 6, 2019
Time : 19:30 PM IST
Speaker : Cognixia
Duration : 1:30
Web conference Portal : View website
Re-direct or Register URL : View website
Location : Collabera House II, 2nd Floor, Tower B, Mayfair Corporate Park, BH DPS School, Kalali

Machine learning will automate jobs that most people thought could only be done by people”: Dave Waters


Machine learning today has gained immense popularity and is gradually impacting every aspect of our lives. It has become quite a trend in the industrial revolution and is definitely here to stay. As a part of the broad category of data science, machine learning takes data science a step further by using algorithms that are greatly helpful for organizations and individuals in making informed decisions. It helps us study, process and analyze data better, by incorporating machines into the routine, thereby reducing the time to get the results, and eliminating the scope of errors.

“A baby learns to crawl, walk and then run. We are in the crawling stage when it comes to applying machine learning.

Machine learning is a highly sought after career option in the market currently. Companies big and small, everywhere on the globe, are looking for trained and skilled machine learning professionals, who are a master of their craft and can help organizations achieve their goals.

Machine learning and the Python programming language are not new in any way, but have gained a lot of momentum in the past few years. So take this leap with us and gain the skills to achieve success with a data-driven approach using machine learning. Cognixia is hosting a live webinar on “Machine learning: A data-driven approach for success” on 6 December 2019 :30 p.m. to 9:30 p.m. IST.


This webinar broadly covers:

Why use Python for machine learning?

Basic syntax

Learning Python programming

NumPy, Pandas, Matplotlib

Data wrangling

Exploratory Data Analysis (EDA)

Basics of machine learning

Supervised learning – linear regression

Unsupervised learning – Logistic regression, decision tree, random, SVM, Naive Bayes k-means clustering

Reinforcement learning – Q-learning

Dimensionality reduction – PCA/LDA

Market basket analysis – association rules and Apriori algorithm

Time series analysis – ARIMA model

Introduction to artificial intelligence

ANN and Deep learning

TensorFlow


Every participant who attends the complete webinar will get a Certificate of Participation from Cognixia.


 


Mention Learnbetween.com when calling,you may can get additional discount.


 

 



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