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BECOME A MACHINE LEARNING SCIENTIST


EduCBA

Summary

Price
Save 75%
£49 inc VAT (was £199)
Offer ends 31 December 2019
Study method
Online, self-paced
Qualification
No formal qualification
Additional info
  • Tutor is available to students

12 students purchased this course

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Overview

19 high-quality and relevant video-based Courses with 93+ hours of well designed, well-crafted study materials on Machine Learning ML, Statistics, Python, Artificial Intelligence AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian Methods, A/B Testing, Face Detection, Business Intelligence BI, Regression, Hypothesis Testing, Algebra, Adaboost Regressor, Gaussian, Heuristic, Numpy.

Pandas, Metplotlit, Seaborn, Forecasting, Distribution, Normalization, Trend Analysis, Predictive Modeling, Fraud Detection, Neural Network, Sequential Model, Data Visualization, Data Analysis, Data Manipulation, KNN Algorithm, Decision Tree, Random Forests, Kmeans Clustering, Vector Machine, Time Series Analysis, Market Basket Analysis. Learn by doing. Verifiable Certificate of Completion for Courses. Full Lifetime Access.

Get the skills to work with implementations and develop capabilities that you can use to deliver results in a machine learning project. This program will help you build the foundation for a solid career in Machine learning Tools. Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions.

Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making. Artificial intelligence is the simulation of human intelligence through machines and mostly through computer systems. Artificial intelligence is a sub field of computer. It enables computers to do things which are normally done by human beings. This program is a comprehensive understanding of AI concepts and its application using Python and iPython.

Over the years, EDUCBA has become the training standard for professional services firms, business professionals, and undergraduate and graduate students. Our extremely practical high-quality video library of courses serve professionals and students from all the leading global firms and top Institutes.

In an average month, we train 10,000+ aspiring professionals and students for their future roles.

Course media

Description

Skills you will master

  • Machine Learning ML
  • Statistics
  • Python
  • Artificial Intelligence AI
  • Tensorflow
  • AWS
  • Deep Learning
  • R Programming
  • NLP
  • Bayesian Methods
  • A/B Testing
  • Face Detection
  • Business Intelligence BI
  • Regression
  • Hypothesis Testing
  • Algebra
  • Adaboost Regressor
  • Gaussian
  • Heuristic
  • Numpy. Pandas
  • Metplotlit
  • Seaborn
  • Forecasting
  • Distribution
  • Normalization
  • Trend Analysis
  • Predictive Modeling
  • Fraud Detection
  • Neural Network
  • Sequential Model
  • Data Visualization
  • Data Analysis
  • Data Manipulation
  • KNN Algorithm
  • Decision Tree
  • Random Forests
  • Kmeans Clustering
  • Vector Machine
  • Time Series Analysis
  • Market Basket Analysis

Jobs you will be eligible for

  • Data Analyst
  • Machine Learning Scientist
  • Data Scientist
  • Software Development Engineer
  • Software Developer
  • Research Scientist
  • Data Analyst
  • Business Analyst
  • Hadoop Developer
  • Researcher
  • SAS Programmer
  • R Programmer
  • Machine Learning Engineer
  • Machine Learning Developer
  • AI Expert
  • Chatbots Developer
  • AI ML Engineer
  • Python Developer
  • Python ML Engineer
  • Solution Architect

Questions and answers


No questions or answers found containing ''.


Kelly asked:

How is the course delivered? Are there videos? Do they have captions?

Answer:

These are self paced learning videos and currently we do not have captions for this course, we are working on captions which will be published soon.

This was helpful. Thank you for your feedback.

Ethelbert asked:

Is there sample videos, just like Udemy and co?

Answer:

Hello, Thank you very much for your suggestion. We updated the video sample link. Please check it out. Thanks

This was helpful. Thank you for your feedback.

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