IBM Machine Learning Professional Certificate

Colleagues, in the “IBM Machine Learning Professional Certificate” program you will 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, and dredict course ratings by training a neural network and constructing regression and classification models. Gain high-demand skills in Ensemble Learning, Linear Regression, Machine Learning, Feature Engineering, Ridge Regression, Statistical Hypothesis Testing, Machine Learning (ML) Algorithms, and Supervised Learning. Use 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. Skill-based training modules include: 1) Exploratory Data Analysis for Machine Learning, 2) Supervised Machine Learning: Regression, 3) Supervised Machine Learning: Classification, and 4) Machine Learning Capstone. 

Enroll today (teams & execs welcome): https://imp.i384100.net/mO4XrX 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)