Forestry Jobs in Mumbai
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Search Results - Forestry Jobs in Mumbai
Mount Talent Consulting Pvt Ltd.-Mumbai
with at least one Machine learning algorithm, Logistic Regression, Random Forest, K-Means Clustering.
• Fallout Analytics, NLP, Journey Analytics, Audio Personification, Customer analytics
• Concepts of Intent, Entity, Fallback Management and Context...
Spigot Software-Mumbai
Active Directory Support (Drive) requirements : - 5+ years designing and managing multiple active directory forests and domains for a large, geographically dispersed enterprise (minimum 5000 users).- 1+ years of experience administering dns, dhcp...
Hunarstreet Technologies Pvt Ltd-Mumbai
Requirements :
• 8+ years designing and managing multiple Active Directory Forests and Domains for a large, geographically dispersed enterprise (minimum 5000 users).
• 8+ years of experience administering DNS, DHCP and PKI.
• Experience...
Paras Aerospace Private Limited-Mumbai
perimeter inspection solutions agri-tech solutions construction monitoring energy power grid solar wind forestry and plant inspection oil and gas Along with these we offer engineering consultancy to companies looking towards drone automation...
mncjobsindia.com -
Hunarstreet Technologies Pvt Ltd-Mumbai
Experience 6+ Year
Requirements :
• 8+ years designing and managing multiple Active Directory Forests and Domains for a large, geographically dispersed enterprise (minimum 5000 users).
• 8+ years of experience administering DNS, DHCP and PKI...
Yokohama-ATG-Mumbai
Bayes, SVM, Decision Forests, Neural Network, Deep Learning, Linear Programming and Optimisation techniques.
• Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra...
Spigot Software Pvt Ltd-Mumbai
AD Profile
Requirements :
• 2-4 years designing and managing multiple Active Directory Forests and Domains for a large, geographically dispersed enterprise (minimum 5000 users).
• Min 2 years of experience administering DNS, DHCP and PKI...
GeBBS Healthcare Solutions-Mumbai
to technical and non-technical stakeholders.- Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc...
Esri India-Mumbai
position of leadership in the government sector with large customer base in both central and state government departments. National Mapping Organizations (e.g., Survey of India, Geological Survey of India, NIC, RGI), forest departments, water resources...
Valiance Analytics Pvt. Ltd.-Mumbai
linear/logistics regression, random forest, XGBoot, SVM, neural networks, etc.Desirable: Experience of working within a multicultural, global environment.Experience of working in a fast moving and changing environment.Experience with NLP and linguistic...
hCapital-Mumbai
be hands on with use of Data Science tools like Python, Azure ML, etc. Ability to self-process the data and come out with models/ insights is a must. f. Shall be able to apply AI techniques like Decision Trees, Boosted Trees, Random Forest, Logistic Regression...
Apta Talenta-Mumbai
learning (regression, classification, random forest, k nearest etc.), Deep Learning (Neural Networks, Tensorflow/Keras etc.), AI, and Statistics. Problem statements would be quite deep now e.g. current forecasting model has been built to improve accuracy...
Quantiphi-Mumbai
Matplotlib, Seaborn, D3.js, Tensorflow, Pytorch, Keras.
• Experience with ML algorithms such as Regression and Classification (Decision-trees, Random Forests, SVM, ANNs), Clustering (k-means, DBSCAN), Dimension Reduction (PCA, SVD), Ensemble techniques...
Valiance Analytics Pvt. Ltd.-Mumbai
and understanding of Machine Learning, e.g.: linear/logistics regression, random forest, XGBoot, SVM, neural networks, etc.
Desirable:
• Experience of working within a multicultural, global environment.
• Experience of working in a fast moving and changing...
Rebel Foods-Mumbai
regression, classification, random forest, k nearest etc.), Deep Learning (Neural Networks, Tensorflow/Keras etc.), AI, and Statistics. Problem statements would be quite deep now e.g. current forecasting model has been built to improve accuracy from 50 to 80...
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