MACHINE LEARNING SCIENTIST BUNDLE
EduCBA
Summary
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.
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
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
FAQs
Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2024. All rights reserved.