{"id":"https://openalex.org/W4403607087","doi":"https://doi.org/10.70593/978-81-981271-4-3_4","title":"Tools and frameworks for machine learning and deep learning: A review","display_name":"Tools and frameworks for machine learning and deep learning: A review","publication_year":2024,"publication_date":"2024-10-13","ids":{"openalex":"https://openalex.org/W4403607087","doi":"https://doi.org/10.70593/978-81-981271-4-3_4"},"language":"en","primary_location":{"id":"doi:10.70593/978-81-981271-4-3_4","doi":"https://doi.org/10.70593/978-81-981271-4-3_4","is_oa":true,"landing_page_url":"https://doi.org/10.70593/978-81-981271-4-3_4","pdf_url":null,"source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Machine Learning and Deep Learning: Architectures and Techniques","raw_type":"book-chapter"},"volume":null,"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.70593/978-81-981271-4-3_4","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039865284","display_name":"Nitin Liladhar Rane","orcid":"https://orcid.org/0000-0002-1351-4372","observed_orcids":["https://orcid.org/0000-0002-1351-4372"]},"institutions":[{"id":"https://openalex.org/I169877490","display_name":"University of Mumbai","ror":"https://ror.org/032hdk172","country_code":"IN","type":"education","lineage":["https://openalex.org/I169877490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nitin Liladhar Rane","raw_affiliation_strings":["Vivekanand Education Society's College of Architecture (VESCOA), Mumbai, India"],"raw_orcid":"https://orcid.org/0000-0002-1351-4372","affiliations":[{"raw_affiliation_string":"Vivekanand Education Society's College of Architecture (VESCOA), Mumbai, India","institution_ids":["https://openalex.org/I169877490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063155672","display_name":"Suraj Kumar Mallick","orcid":"https://orcid.org/0000-0003-0994-086X","observed_orcids":["https://orcid.org/0000-0003-0994-086X"]},"institutions":[{"id":"https://openalex.org/I110166357","display_name":"University of Delhi","ror":"https://ror.org/04gzb2213","country_code":"IN","type":"education","lineage":["https://openalex.org/I110166357"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suraj Kumar Mallick","raw_affiliation_strings":["Department of Geography, Shaheed Bhagat Singh College, University of Delhi, New Delhi India"],"raw_orcid":"https://orcid.org/0000-0003-0994-086X","affiliations":[{"raw_affiliation_string":"Department of Geography, Shaheed Bhagat Singh College, University of Delhi, New Delhi India","institution_ids":["https://openalex.org/I110166357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084732645","display_name":"\u00d6mer Kaya","orcid":"https://orcid.org/0000-0003-1037-5546","observed_orcids":["https://orcid.org/0000-0003-1037-5546"]},"institutions":[{"id":"https://openalex.org/I265519392","display_name":"Erzurum Technical University","ror":"https://ror.org/038pb1155","country_code":"TR","type":"education","lineage":["https://openalex.org/I265519392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u00d6mer Kaya","raw_affiliation_strings":["Engineering and Architecture Faculty, Erzurum Technical University, Erzurum, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-1037-5546","affiliations":[{"raw_affiliation_string":"Engineering and Architecture Faculty, Erzurum Technical University, Erzurum, Turkey","institution_ids":["https://openalex.org/I265519392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092107778","display_name":"Jayesh Rane","orcid":"https://orcid.org/0000-0001-8002-9863","observed_orcids":["https://orcid.org/0000-0001-8002-9863"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jayesh Rane","raw_affiliation_strings":["Pillai HOC College of Engineering and Technology, Rasayani, India"],"raw_orcid":"https://orcid.org/0000-0001-8002-9863","affiliations":[{"raw_affiliation_string":"Pillai HOC College of Engineering and Technology, Rasayani, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.0749,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.99311157,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.7788000106811523,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.7788000106811523,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.1664000004529953,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.010400000028312206,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning-framework","display_name":"machine learning framework","score":0.9559999704360962},{"id":"https://openalex.org/keywords/deep-learning-framework","display_name":"deep learning framework","score":0.8320000171661377},{"id":"https://openalex.org/keywords/tensorflow","display_name":"TensorFlow","score":0.9959999918937683},{"id":"https://openalex.org/keywords/pytorch","display_name":"PyTorch","score":1.0},{"id":"https://openalex.org/keywords/keras","display_name":"Keras","score":0.9990000128746033},{"id":"https://openalex.org/keywords/hugging-face-transformers","display_name":"Hugging Face Transformers","score":0.9959999918937683},{"id":"https://openalex.org/keywords/amazon-sagemaker","display_name":"Amazon SageMaker","score":0.9800000190734863},{"id":"https://openalex.org/keywords/automated-machine-learning","display_name":"automated machine learning","score":0.9169999957084656},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9039999842643738},{"id":"https://openalex.org/keywords/mlops","display_name":"MLOps","score":0.9580000042915344},{"id":"https://openalex.org/keywords/mlflow","display_name":"MLflow","score":0.9959999918937683},{"id":"https://openalex.org/keywords/kubeflow","display_name":"Kubeflow","score":0.9850000143051147},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.7149999737739563},{"id":"https://openalex.org/keywords/ci-cd","display_name":"CI/CD","score":0.718999981880188}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5159571766853333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5159136056900024},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44295862317085266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3871188461780548}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.70593/978-81-981271-4-3_4","doi":"https://doi.org/10.70593/978-81-981271-4-3_4","is_oa":true,"landing_page_url":"https://doi.org/10.70593/978-81-981271-4-3_4","pdf_url":null,"source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Machine Learning and Deep Learning: Architectures and Techniques","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.70593/978-81-981271-4-3_4","doi":"https://doi.org/10.70593/978-81-981271-4-3_4","is_oa":true,"landing_page_url":"https://doi.org/10.70593/978-81-981271-4-3_4","pdf_url":null,"source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Machine Learning and Deep Learning: Architectures and Techniques","raw_type":"book-chapter"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7166712652","https://openalex.org/W7166806411","https://openalex.org/W3012164240","https://openalex.org/W4399872710","https://openalex.org/W7133693687","https://openalex.org/W2997654147","https://openalex.org/W4411556331","https://openalex.org/W4410979007","https://openalex.org/W4399716994","https://openalex.org/W3209935176"],"abstract_inverted_index":{"The":[0,53,110,141],"fast":[1],"progress":[2],"of":[3,33,48,55,72,159,178,193,219],"Artificial":[4],"Intelligence":[5],"(AI)":[6],"has":[7],"resulted":[8],"in":[9,12,42,65],"major":[10],"advancements":[11],"tools":[13,37,116,180,230],"and":[14,20,38,46,50,61,78,94,127,154,162,184,191,198,209,217,224],"structures":[15],"for":[16,88,98,106,231],"machine":[17,147],"learning":[18,22,148],"(ML)":[19],"deep":[21],"(DL),":[23],"changing":[24],"numerous":[25],"industries.":[26],"This":[27,200],"study":[28,174],"offers":[29,202],"a":[30],"thorough":[31],"examination":[32],"the":[34,43,70,157,173,176,188,206,215,228],"most":[35],"recent":[36],"frameworks":[39,57,150,211],"that":[40],"aid":[41],"creation,":[44],"implementation,":[45],"expansion":[47],"ML":[49,194,208],"DL":[51,210],"models.":[52],"capabilities":[54],"key":[56],"like":[58,151],"TensorFlow,":[59],"PyTorch,":[60],"Keras":[62],"are":[63,104],"assessed":[64],"their":[66,107,232],"ability":[67],"to":[68,169],"facilitate":[69],"construction":[71],"complex":[73],"neural":[74],"networks":[75],"by":[76,213],"researchers":[77,223],"practitioners.":[79],"Furthermore,":[80],"cutting-edge":[81],"resources":[82,138],"such":[83,120,181],"as":[84,121,182],"Hugging":[85],"Face":[86],"Transformers":[87],"simplifying":[89],"natural":[90],"language":[91],"processing":[92],"duties":[93],"NVIDIA's":[95],"RAPIDS":[96],"suite":[97],"speeding":[99],"up":[100],"data":[101],"science":[102],"processes":[103],"praised":[105],"inventive":[108],"impacts.":[109],"research":[111,201],"delves":[112],"into":[113,205],"incorporating":[114],"these":[115,220],"with":[117],"cloud":[118],"services":[119],"Google":[122],"Cloud":[123],"AI,":[124],"Amazon":[125],"SageMaker,":[126],"Microsoft":[128],"Azure":[129],"ML,":[130],"highlighting":[131],"how":[132,145],"they":[133],"help":[134],"make":[135],"high-performance":[136],"computing":[137],"more":[139,167],"accessible.":[140],"discussion":[142],"revolves":[143],"around":[144],"automated":[146],"(AutoML)":[149],"Google's":[152],"AutoML":[153],"H2O.ai":[155],"ease":[156],"process":[158],"model":[160],"selection":[161],"hyperparameter":[163],"tuning,":[164],"making":[165],"it":[166],"accessible":[168],"non-experts.":[170],"In":[171],"addition,":[172],"explores":[175],"significance":[177],"MLOps":[179],"MLflow":[183],"Kubeflow,":[185],"which":[186],"support":[187],"continuous":[189],"integration":[190],"deployment":[192],"workflows,":[195],"guaranteeing":[196],"scalability":[197],"reproducibility.":[199],"valuable":[203],"insights":[204],"current":[207],"landscape":[212],"examining":[214],"strengths":[216],"limitations":[218],"tools,":[221],"helping":[222],"industry":[225],"professionals":[226],"choose":[227],"right":[229],"AI":[233],"projects.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-10-22T00:00:00"}
