Coursera - IBM Machine Learning Professional Certificate

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Free Download Coursera - IBM Machine Learning Professional Certificate
Last updated 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 277 Lessons ( 31h 3m ) | Size: 3 GB
Prepare for a career in machine learning. Gain the in-demand skills and hands-on experience to get job-ready in less than 3 months.

What you'll learn
Master the most up-to-date practical skills and knowledge machine learning experts use in their daily roles
Learn how to compare and contrast different machine learning algorithms by creating recommender systems in Python
Develop working knowledge of KNN, PCA, and non-negative matrix collaborative filtering
Predict course ratings by training a neural network and constructing regression and classification models
Skills you'll gain
Ensemble Learning
Linear Regression
Machine Learning
Feature Engineering
Ridge Regression
Statistical Hypothesis Testing
Machine Learning (ML) Algorithms
Supervised Learning
Regression Analysis
Exploratory Data Analysis
Artificial Intelligence (AI)
Decision Tree
Prepare for a career in the field of machine learning. In this program, you'll learn in-demand skills like AI and Machine Learning to get job-ready in less than 3 months.
Machine Learning is the use and development of computer systems that are able to learn and adapt by using algorithms and statistical models to analyze and draw inferences from patterns in data. Machine Learning is a branch of Artificial Intelligence (AI) where computers are taught to imitate human intelligence in that they solve complex tasks. Roles available to those proficient in Machine Learning include machine learning engineer, NLP scientist, and data engineer.
This program consists of courses that provide you with a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning. Topics covered include Supervised and Unsupervised learning, Regression, Classification, Clustering, Deep learning and Reinforcement learning.
You will follow along and code your own projects using some of the most relevant open-source frameworks and libraries, and you will apply what you have learned in various courses by completing a final capstone project.
Upon completion, you'll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You'll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.
Applied Learning Project
This Professional Certificate has a strong emphasis on developing the real-world skills that help you advance a career in Machine Learning and Deep Learning. All the courses include a series of hands-on labs and final projects that help you focus on a specific project that interests you. Throughout this Professional Certificate, you will gain exposure to a series of tools, libraries, cloud services, datasets, algorithms, assignments, and projects that will provide you with practical skills to use on Machine Learning jobs.
These skills include
Tools: Jupyter Notebooks and Watson Studio
Libraries: Pandas, NumPy, Matplotlib, Seaborn, ipython-sql, Scikit-learn, ScipPy, Keras, and TensorFlow.
Algorithms: Supervised and Unsupervised learning, Regression, Classification, Clustering, Linear Regression, Ridge Regression, Machine Learning (ML) Algorithms, Decision Tree, Ensemble Learning, Survival Analysis, K-means clustering, DBSCAN, Dimensionality Reduction
Homepage

https://www.coursera.org/professional-certificates/ibm-machine-learning

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