Learn the Fundamentals of Machine Learning with 55375AC

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55375AC: Fundamentals of Machine Learning Course Overview


55375AC Fundamentals of Machine Learning course is an introductory course designed to provide a comprehensive overview of the tools, techniques, and algorithms used to solve the various tasks that arise when dealing with large data sets. The course takes an in-depth look at methods and models used to extract intelligence from data, as well as how to interpret the results of these models. The objective of the course is to provide a strong foundation in machine learning fundamentals and to give students the necessary background and preparation to evaluate, interpret, and apply modern machine learning algorithms.
Students enrolled in the course learn the basics of supervised and unsupervised learning algorithms, such as decision trees, support vector machines, and neural networks. They also become familiar with sampling, data pre-processing, feature extraction and selection, and validation. The course also covers cluster analysis, classification, regression, deep learning, and more.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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The 1-on-1 Advantage

Get 1on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.
Live Online Training (Duration : 40 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Online
03 - 07 Jul
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Winner of the Microsoft’s Asia Superstar Campaign in FY 22
Winner of the Microsoft’s Asia Superstar Campaign in FY 22
Course Prerequisites


The prerequisites for 55375AC Fundamentals of Machine Learning Training are:
* Knowledge of basic statistics
* Programming experience with Java, Python or another programming language
* Familiarity with databases and SQL
* Experience with data wrangling and data analysis
* A basic knowledge of linear algebra, probability and calculus
* Familiarity with Machine Learning concepts and terminology
* Knowledge of the cloud and cloud services such as AWS would be beneficial but is not required.

Target Audience


The target audience for 55375AC: Fundamentals of Machine Learning training is any individual with a technical background who wants to gain a further understanding of the fundamentals of machine learning
It is ideal for software developers, data scientists, AI researchers, and other professionals who may already have an understanding of the basic concepts but want to gain a more comprehensive understanding of how to apply machine learning principles and processes in their work
This training will introduce them to different types of supervised and unsupervised algorithms, and teach them how to develop and implement machine learning-powered applications
Learners will gain practical skills to help them design data engineering pipelines, select and process data, build and deploy models, and improve performance of machine learning models and projects

 

Learning Objectives of 55375AC: Fundamentals of Machine Learning


1. Understand principles and best practices of machine learning: Learn the fundamentals of machine learning, including how to build and design better algorithms, data prep and preprocessing, and the fundamentals of deep learning and neural networks.
2. Identify the right application for machine learning: Gain an understanding of common use cases of machine learning and when to use ML vs traditional software solutions or new models.
3. Work with different kinds of data: Work with structured and unstructured data, and use techniques such as supervised and unsupervised learning.
4. Implement machine learning algorithms: Learn how to code and implement various ML algorithms, such as K-means Clustering and linear regression.
5. Evaluate performance: Understand the criteria for evaluating ML models, such as accuracy, precision, recall, and more.
6. Understand ethical considerations: Gain an understanding of the ethical considerations in machine learning, such as privacy and fairness.

 

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FAQ's


Yes, fee excludes local taxes.
Yes, we do.
Yes, Koenig Solutions is a Microsoft Gold Learning Partner
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).
1-on-1 Public - Select your start date. Other students can be merged. 1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes, you can pay from the course page and flexi page.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
After you submit your payment, you will land on the payment confirmation screen. It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however, it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
Yes, this is our official email address which we use if a recipient is not able to receive emails from our @koenig-solutions.com email address.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, London, Sydney, Singapore, New York, Delhi, Goa, Bangalore, Chennai and Gurugram.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

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