26 Data Privacy

YOUR LINK HERE:

http://youtube.com/watch?v=kGKfXlV4nn4

#Accenture #Eightfold #IBM#Accenture #Eightfold #IBM#Accenture #Eightfold #IBM#Accenture #Eightfold #IBM #Indeed #Intel Corporation #Microsoft, and #SAP the Consortium will train and upskill 95 million people over the next 10 years through their individual organizations' commitments.#ai #karnataka #iit #iisc #maharashtra #delhi #telengana #ai #engineering #btech #mtech #phd #computerscience #computervision #germany #france #uk #usa #ml #datascience #data #odisha #odianewsfast #china #chinese #education #educational #study #sweden #IETF #ieee #japanese #europe #examination #dataanalytics #datavisualization #network #networking #edgecomputing #students #students#datacenter #wireless #multimedia #security #viralvideo #viralshort #trending #tredingshorts #reality #smile #edge. #iisc #datacenter #iit#viralshort #viralvideo #ai #world #worldnews #worldwide #hongkong #sweden #norway #datamining • #datascience #machinelearning #python #artificialintelligence #ai #data #dataanalytics #bigdata #programming #coding #datascientist #technology #deeplearning #computerscience #datavisualization #analytics #pythonprogramming #tech #iot #dataanalysis #java #developer #programmer #business #ml #database #software #javascript #statistics #innovation • #cybersecurity #coder #dataanalyst #code #datamining #engineering #linux #cloudcomputing #codinglife #robotics #businessintelligence #softwaredeveloper #sql #automation #science #cloud #softwareengineer #neuralnetworks #datasciencetraining #daysofcode #bigdataanalytics #digitaltransformation #computer #coders #datasecurity #dataviz #webdevelopment #devops #programminglife #htmlcourseinhindi • Data science incorporates practices from a variety of fields including statistics, machine learning, databases, distributed systems, algorithms, data warehousing, high-performance computing, and visualization. Thus, at a minimum, today's data scientist needs to have familiarity with: data processing and management tools like relational databases and NoSQL for processing large volumes of data; scripting languages like Python for quickly writing programs to clean and transform messy raw data; basic machine learning and data mining algorithms for analyzing the data; statistical computing environments for writing analysis scripts; and visualization tools for presentation and communication of analysis results. This class will study techniques and systems for ingesting, efficiently processing, analyzing, and visualizing large data sets. Students will learn how to model and reason about data, and how to process and manipulate it in various ways. Topics will include data cleaning, data integration, scalable systems (relational databases, NoSQL, MapReduce, etc.), analytics (data cubes, scalable statistics and machine learning), and scalable visualization of large data sets.

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