$236.32

Multiple Dates

Delhi NCR Machine Learning Fundamentals with Python Corporate Workshop

Event Information

Share this event

Date and Time

Location

Location

NobleProg

7th Floor, Plot A-12, Aditya corporate hub, RDC Rajnagar, Near Gaur Central Mall

Opposite to Domino's and Cafe Coffee Day, Ghaziabad.

Ghaziabad, UP 201002

India

View Map

Refund Policy

Refund Policy

No Refunds

Event description

Description

What To Expect:

  • Mode of Delivery - The classes are held both online and in physical classrooms.

  • Audience - We have a global audience that logs in to work hand in hand with our world-class instructors.

  • Certification - Available in 25+ Countries NobleProg Certification is accepted globally

What is the potential of Machine Learning?

Machine learning is a specific set of techniques that enable machines to learn from data, and make predictions. A primary concern for many people is the idea of singularity: the point in time when machines reach a higher level of intelligence than humans and, in turn, take over the world (essentially).

In reality, this is nonsense. There are plenty of things to worry about with the future of machine learning, and the singularity is not one of them.

What’s more of a cause for concern is the machine learning bias we see on a regular basis. For example, there are certain systems that claim to predict your interests based on your name, and some that conclude “man” is to “computer programmer” as “woman” is to “homemaker.” Even worse, some claim to predict terrorists based on facial features. Clearly, there are major flaws with the methodology powering these predictions, and these issues should be addressed.

Machines only learn from the data at their disposal. When the biases of our past and present fuel the predictions of the future, it’s a tall order to expect AI to operate independently of human flaws. If we want machine learning to affect our lives in productive and ethical ways, awareness of this fact is critical.

The User Experience Challenge

Without even realizing it, people interact with machine learning systems on a daily basis, surfacing a whole new set of issues for consumer-facing brands. Google’s “did you mean?” feature was built to help users in the search process, but in practice, there’s no denying it can get a little creepy and feel invasive. On the other hand, if you’re given a Netflix or Spotify recommendation that’s off base, users get frustrated and expect better understanding of their preferences. Today’s companies are forced to toe the line between helpful and creepy.

Companies are also running into problems around AI’s inability to explain its suggestions and recommendations to users. For example, Alexa can’t explain her reasoning for recommending a new product or service. Although we want to trust the devices that give us answers, at the same time, we want to understand where they come from. Solving these user experience challenges is what will separate the leaders from the laggards in the machine learning realm.

Baffling with Brilliance

With big picture issues and UX challenges not letting up, where do we go from here? We need systems that understand context and how the world works, and this isn’t going to be solved overnight. For now, tech leaders need to look past the hype and the bafflement, recognize the roadblocks right in front of them and set more achievable goals.

Clearly, there are obvious limitations involved with AI and machine learning. Mastering how to work within these bounds, building safeguards against machine learning biases and doubling down the UX challenges that affect our daily lives are keys to building a brighter future.

Why should you go for Machine Learning?

Machine learning has several very practical applications that drive the kind of real business results – such as time and money savings – that have the potential to dramatically impact the future of your organization. At Interactions in particular, we see tremendous impact occurring within the customer care industry, whereby machine learning is allowing people to get things done more quickly and efficiently. Through Virtual Assistant solutions, machine learning automates tasks that would otherwise need to be performed by a live agent – such as changing a password or checking an account balance. This frees up valuable agent time that can be used to focus on the kind of customer care that humans perform best: high touch, complicated decision-making that is not as easily handled by a machine. At Interactions, we further improve the process by eliminating the decision of whether a request should be sent to a human or a machine: unique Adaptive Understanding technology, the machine learns to be aware of its limitations, and bail out to humans when it has a low confidence in providing the correct solution.

Machine learning has made dramatic improvements in the past few years, but we are still very far from reaching human performance. Many times, the machine needs the assistance of human to complete its task. At Interactions, we have deployed Virtual Assistant solutions that seamlessly blend artificial with true human intelligence to deliver the highest level of accuracy and understanding.

Why Is This Program Different:

  • The Instructors - Our instructors are industry experts, people who have been there and done that. They not only encourage questioning but also give solutions that are practical and applicable at an enterprise level.

  • The Practice - We provide an actual cluster for hands-on practicing. It removes the need to install virtual machines and makes learning easier and fun.

  • The Curriculum - Created by industry experts to equip attendees to hit the ground running. Our interactive sessions along with the curated curriculum make starting a project at work or attending an interview or just upscaling your career a cake walk.

Overview

The aim of this program is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.

Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Topic Coverage

  • Introduction to Applied Machine Learning

  • Machine Learning with Python

  • Regression

  • Classification

  • Cross-validation and Resampling

  • Unsupervised Learning


Who should take this program?

Anyone having zeal to learn new technology can go for it. Students and professionals aspiring to make a career in python should opt for this program.

Anyone having zeal to learn new technology can go for it. Students and professionals aspiring to make a career in the machine learning should opt for the program.

  • Banking/Finance professionals

  • Software developers

  • Corporate Executives looking to connect corproate strategy to technology

  • Government Executives looking to better understand opportunities

  • High school & college students

  • Supply Chain Managers

  • CEO's, Boards, and Senior VP's

  • Entrepreneurs looking for something new

  • Consultants and Professional Service Providers

  • Technology Enthusiasts

  • Anyone looking to better prepare for long term career potential in the future

For any enquiries you can always reach us at training@nobleprog.in

or call us at +91 88 001 555 18, +91 98 18 063 614

Share with friends

Location

NobleProg

7th Floor, Plot A-12, Aditya corporate hub, RDC Rajnagar, Near Gaur Central Mall

Opposite to Domino's and Cafe Coffee Day, Ghaziabad.

Ghaziabad, UP 201002

India

View Map

Refund Policy

No Refunds

Save This Event

Event Saved