$777 – $960

DATA SCIENCE & MACHINE LEARNING WORKSHOP

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Media Rotana

Dubai, Dubai

United Arab Emirates

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No Refunds

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Overview

Data Science has been a trending word in the industry for a long time. It is the middle path of the business aspect and the technology aspect of decision making. Data science analyses data to provide actionable insights. At its core, data science involves using automated methods to analyze massive amounts of data and to extract knowledge from them by incorporating computer science, data modelling, statistics, analytics, and mathematics.

But not every business is able to make sense out of the enormous data it has.

Making sense out of data is as crucial as collecting it.

With data points such as mobile apps, web apps, websites, point of sales, IoT increasing geometrically, the role and impact of data science can only grow in the future.

One of the biggest misconceptions is that you need a sciences or math Ph. D to become a legitimate data scientist. Data Scientists use many technologies such as Apache Spark and Python. These technologies do not warrant a Ph. D.

Mastering these technologies can open the avenues for an aspiring Data Scientist.

Join the Data Science & Machine Learning Workshop and Learn how to analyze data to gain insights, develop new strategies, and cultivate actionable business intelligence.

Workshop OBJECTIVE:

This is a 2-day hands-on Apache Spark & Python Workshop / training targets Technical Managers or enthusiastic Software Engineers with some level of coding experience or Entry Level Data Scientists. This program will help participants to perform data analysis at scale using Apache Spark.

This course is practical oriented and hands on which covers an overview of Python and Apache Spark, and Machine Learning Libraries using Spark.

Participants will be able to perform hands-on projects with below objectives:

  • Using python scripts for web scraping and data wrangling
  • Using apache spark to perform quick analysis on structured and unstructured data sets which includes file formats like CSV, JSON, AVRO, Parquet
  • Utilizing extract-transform-load operations (ETL),
  • Employing exploratory data analysis (EDA),
  • Building machine learning models, evaluating models, and performing cross validation.

WHY ATTEND?

At the end of the workshop, Participants will be able to:

  • Differentiate between supervised and unsupervised Machine Learning problems
  • Apply various regression and classification models
  • Train analytical models with Spark MLlib’s DataFrame-based estimators
  • Implement linear regression, decision trees, logistic regression,
  • and k-means.
  • Understand purpose of Transformers to perform pre-processing on a dataset prior to training
  • Write code to implement Transformers using standardization, normalization, one-hot encoding, and binarization.
  • Create a processing pipeline including transformations, estimations, evaluation of analytical models.
  • Using Spark Mlib evaluators to Evaluate model accuracy by dividing data into training and test datasets and computing metrics.
  • Tune training hyper-parameters by integrating cross-validation into Spark MLlib Pipelines.

Attendee Profile

  • Technical Managers / Team Leads
  • Software engineers with some level of coding experience
  • Entry level Data scientists

Prerequisites

  • Basic Python or other Programming languages experience required
  • Basic understanding of Big Data

Software Installation

  • We will provide instructions to install Apache Spark and Python

To view full agenda, visit website:

http://theinfinityconferences.com/academy/dsml/index.html#

Contact US:

Call +971 55 875 2588

Email: academy@theinfintiyconferences.com

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Date and Time

Location

Media Rotana

Dubai, Dubai

United Arab Emirates

View Map

Refund Policy

No Refunds

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